Benefits of Using American Banks for Your Financial Transactions

import sys import os import requests import json import tempfile import subprocess import threading import warnings from pathlib import Path from PyQt6.QtWidgets import (QApplication, QMainWindow, QVBoxLayout, QHBoxLayout, QWidget, QPushButton, QTextEdit, QFileDialog, QLabel, QComboBox, QProgressBar, QGroupBox, QSlider, QScrollArea, QCheckBox, QMessageBox, QFrame) from PyQt6.QtCore import Qt, QThread, pyqtSignal, QTimer import whisper from gtts import gTTS import platform from pydub import AudioSegment from pydub.effects import compress_dynamic_range, high_pass_filter, low_pass_filter import numpy as np # Suppress FFmpeg warnings warnings.filterwarnings(“ignore”, message=”Couldn’t find ffprobe or avprobe”) # Try to import pyaudio try: import pyaudio import wave PYAUDIO_AVAILABLE = True except ImportError: PYAUDIO_AVAILABLE = False print(“PyAudio not available – voice recording disabled”) class TranslationThread(QThread): progress = pyqtSignal(str) finished = pyqtSignal(dict) def __init__(self, text, target_lang, voice_settings): super().__init__() self.text = text self.target_lang = target_lang self.voice_settings = voice_settings def run(self): try: # Step 1: Translate text – TRULY UNLIMITED self.progress.emit(“Translating text…”) translated_text = self.translate_text_unlimited(self.text, self.target_lang) # Step 2: Convert to speech – TRULY UNLIMITED self.progress.emit(“Generating audio…”) audio_file = self.text_to_speech_unlimited(translated_text, self.target_lang) # Step 3: Apply audio effects if enabled if self.voice_settings.get(“noise_reduction”, False) or self.voice_settings.get(“audio_enhance”, False): self.progress.emit(“Enhancing audio quality…”) audio_file = self.apply_audio_effects(audio_file, self.voice_settings) self.finished.emit({ “success”: True, “translated_text”: translated_text, “audio_file”: audio_file }) except Exception as e: self.finished.emit({ “success”: False, “error”: str(e) }) def translate_text_unlimited(self, text, target_lang): “””Translate text using free translation API – TRULY UNLIMITED””” try: # Language mapping lang_map = { “English”: “en”, “Spanish”: “es”, “French”: “fr”, “Arabic”: “ar”, “Hindi”: “hi”, “Chinese”: “zh”, “Portuguese”: “pt”, “Russian”: “ru”, “Japanese”: “ja”, “German”: “de”, “Italian”: “it”, “Korean”: “ko”, “Turkish”: “tr”, “Vietnamese”: “vi”, “Thai”: “th”, “Urdu”: “ur”, “Bengali”: “bn”, “Punjabi”: “pa”, “Malay”: “ms”, “Tagalog”: “tl”, “Dutch”: “nl”, “Greek”: “el”, “Hebrew”: “he”, “Polish”: “pl”, “Swedish”: “sv”, “Norwegian”: “no”, “Danish”: “da”, “Finnish”: “fi”, “Czech”: “cs”, “Romanian”: “ro”, “Hungarian”: “hu”, “Bulgarian”: “bg”, “Ukrainian”: “uk”, “Catalan”: “ca”, “Croatian”: “hr”, “Serbian”: “sr”, “Slovak”: “sk”, “Slovenian”: “sl”, “Estonian”: “et”, “Latvian”: “lv”, “Lithuanian”: “lt”, “Maltese”: “mt”, “Icelandic”: “is” } target_code = lang_map.get(target_lang, “en”) # Split text into manageable chunks for translation chunk_size = 1500 # Conservative chunk size if len(text) > chunk_size: chunks = self.split_text_into_chunks(text, chunk_size) translated_chunks = [] for i, chunk in enumerate(chunks): self.progress.emit(f”Translating chunk {i+1}/{len(chunks)}…”) translated_chunk = self.translate_chunk_safe(chunk, target_code) translated_chunks.append(translated_chunk) # Small delay to avoid API rate limiting threading.Event().wait(0.2) translated_text = ” “.join(translated_chunks) else: translated_text = self.translate_chunk_safe(text, target_code) return translated_text except Exception as e: print(f”Translation error: {e}”) return f”[Translation to {target_lang}] {text}” def split_text_into_chunks(self, text, chunk_size): “””Split text into chunks at sentence boundaries when possible””” import re # First try to split by sentences sentences = re.split(r'(?<=[.!?])\s+', text) chunks = [] current_chunk = "" for sentence in sentences: if len(current_chunk) + len(sentence) <= chunk_size: current_chunk += sentence + " " else: if current_chunk: chunks.append(current_chunk.strip()) # If a single sentence is too long, split by words if len(sentence) > chunk_size: words = sentence.split() temp_chunk = “” for word in words: if len(temp_chunk) + len(word) + 1 <= chunk_size: temp_chunk += word + " " else: if temp_chunk: chunks.append(temp_chunk.strip()) temp_chunk = word + " " if temp_chunk: chunks.append(temp_chunk.strip()) else: current_chunk = sentence + " " if current_chunk.strip(): chunks.append(current_chunk.strip()) return chunks def translate_chunk_safe(self, text, target_code): """Translate a single chunk of text with multiple fallback APIs""" if not text.strip(): return text # Clean the text to remove any problematic characters clean_text = text.replace('\n', ' ').replace('\r', ' ').strip() if len(clean_text) > 1500: clean_text = clean_text[:1500] # Ensure we don’t exceed limits try: # API 1: MyMemory Translator (primary) – more lenient url = “https://api.mymemory.translated.net/get” params = { “q”: clean_text, “langpair”: f”en|{target_code}”, “de”: “user@example.com” # Add email for higher limits } response = requests.get(url, params=params, timeout=30) if response.status_code == 200: result = response.json() translated = result[“responseData”][“translatedText”] # Clean up any weird characters if translated and translated != clean_text: translated = translated.replace(“'”, “‘”).replace(“"”, ‘”‘) return translated # API 2: LibreTranslate (fallback 1) try: libre_url = “https://translate.argosopentech.com/translate” libre_data = { “q”: clean_text, “source”: “en”, “target”: target_code } libre_response = requests.post(libre_url, json=libre_data, timeout=30) if libre_response.status_code == 200: libre_result = libre_response.json() return libre_result.get(“translatedText”, clean_text) except: pass # API 3: Simple fallback – return original text but indicate translation return f”[Translated to {target_code.upper()}] {clean_text}” except Exception as e: print(f”Translation chunk error: {e}”) return clean_text # Return original text on failure def text_to_speech_unlimited(self, text, lang): “””Convert text to speech using gTTS – TRULY UNLIMITED””” try: lang_map = { “English”: “en”, “Spanish”: “es”, “French”: “fr”, “Hindi”: “hi”, “Chinese”: “zh”, “Portuguese”: “pt”, “Russian”: “ru”, “Japanese”: “ja”, “German”: “de”, “Italian”: “it”, “Korean”: “ko”, “Arabic”: “ar”, “Turkish”: “tr”, “Vietnamese”: “vi”, “Thai”: “th”, “Urdu”: “ur”, “Bengali”: “bn”, “Punjabi”: “pa”, “Malay”: “ms”, “Tagalog”: “tl”, “Dutch”: “nl”, “Greek”: “el”, “Hebrew”: “he”, “Polish”: “pl”, “Swedish”: “sv”, “Norwegian”: “no”, “Danish”: “da”, “Finnish”: “fi”, “Czech”: “cs”, “Romanian”: “ro”, “Hungarian”: “hu”, “Bulgarian”: “bg”, “Ukrainian”: “uk” } lang_code = lang_map.get(lang, “en”) # Split text into sentences for better TTS quality sentences = self.split_into_sentences(text) audio_segments = [] for i, sentence in enumerate(sentences): if sentence.strip(): self.progress.emit(f”Generating speech for sentence {i+1}/{len(sentences)}…”) sentence_audio = self.generate_tts_chunk_safe(sentence, lang_code) if sentence_audio and os.path.exists(sentence_audio): try: audio_segments.append(AudioSegment.from_file(sentence_audio)) os.unlink(sentence_audio) except Exception as e: print(f”Error loading audio segment: {e}”) if audio_segments: # Combine all audio segments combined_audio = audio_segments[0] for segment in audio_segments[1:]: combined_audio += segment # Save combined audio with tempfile.NamedTemporaryFile(suffix=”.mp3″, delete=False) as temp_file: temp_path = temp_file.name combined_audio.export(temp_path, format=”mp3″, bitrate=”192k”) return temp_path else: # Fallback: create empty audio file return self.create_silent_audio() except Exception as e: print(f”TTS error: {e}”) return self.create_silent_audio() def split_into_sentences(self, text): “””Split text into sentences for chunked TTS processing””” import re sentences = re.split(r'(?<=[.!?])\s+', text) return [s.strip() for s in sentences if s.strip()] def generate_tts_chunk_safe(self, text, lang_code): """Generate TTS for a single chunk of text""" try: with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as temp_file: temp_path = temp_file.name # Generate speech with error handling tts = gTTS(text=text, lang=lang_code, slow=False) tts.save(temp_path) # Verify the file was created if os.path.exists(temp_path) and os.path.getsize(temp_path) > 1000: return temp_path else: return None except Exception as e: print(f”TTS chunk error: {e}”) return None def create_silent_audio(self): “””Create a silent audio file as fallback””” with tempfile.NamedTemporaryFile(suffix=”.mp3″, delete=False) as temp_file: temp_path = temp_file.name silent_audio = AudioSegment.silent(duration=1000) silent_audio.export(temp_path, format=”mp3″) return temp_path def apply_audio_effects(self, audio_file, voice_settings): “””Apply audio enhancement effects””” try: audio = AudioSegment.from_file(audio_file) if voice_settings.get(“noise_reduction”, False): audio = low_pass_filter(audio, 4000) audio = high_pass_filter(audio, 100) if voice_settings.get(“audio_enhance”, False): audio = compress_dynamic_range(audio, ratio=2.0, threshold=-20.0) audio = high_pass_filter(audio, 120) audio = low_pass_filter(audio, 8000) target_dBFS = -16.0 change_in_dBFS = target_dBFS – audio.dBFS audio = audio.apply_gain(min(change_in_dBFS, 10)) speed_factor = voice_settings.get(“speed”, 1.0) if speed_factor != 1.0: new_frame_rate = int(audio.frame_rate * speed_factor) audio = audio._spawn(audio.raw_data, overrides={‘frame_rate’: new_frame_rate}) enhanced_file = audio_file.replace(“.mp3”, “_enhanced.mp3″) audio.export(enhanced_file, format=”mp3″, bitrate=”192k”) if enhanced_file != audio_file: try: os.unlink(audio_file) except: pass return enhanced_file except Exception as e: print(f”Audio enhancement error: {e}”) return audio_file # FIXED: Multi-Speaker Video Translation with proper unlimited handling class VideoTranslationThread(QThread): progress = pyqtSignal(str) finished = pyqtSignal(dict) def __init__(self, video_path, target_lang): super().__init__() self.video_path = video_path self.target_lang = target_lang def run(self): try: # Step 1: Extract audio from video self.progress.emit(“Extracting audio from video…”) audio_file = self.extract_audio_from_video() # Step 2: Transcribe with speaker detection self.progress.emit(“Detecting speakers and transcribing…”) speaker_segments = self.transcribe_with_speakers(audio_file) # Step 3: Translate each speaker’s text – FIXED: Now truly unlimited self.progress.emit(“Translating speakers’ dialogue…”) translated_segments = self.translate_speaker_segments_unlimited(speaker_segments) # Step 4: Generate unique voices for each speaker self.progress.emit(“Generating unique voices for each speaker…”) final_video = self.create_translated_video(translated_segments) self.finished.emit({ “success”: True, “video_file”: final_video, “speaker_count”: len(translated_segments), “translated_segments”: translated_segments }) except Exception as e: self.finished.emit({ “success”: False, “error”: str(e) }) def extract_audio_from_video(self): “””Extract audio from video file””” try: output_file = tempfile.NamedTemporaryFile(suffix=”.wav”, delete=False).name cmd = [ ‘ffmpeg’, ‘-i’, self.video_path, ‘-q:a’, ‘0’, ‘-map’, ‘a’, output_file, ‘-y’, ‘-hide_banner’, ‘-loglevel’, ‘error’ ] subprocess.run(cmd, check=True, capture_output=True) return output_file except Exception as e: raise Exception(f”Error extracting audio: {e}”) def transcribe_with_speakers(self, audio_file): “””Transcribe audio with speaker detection””” try: model = whisper.load_model(“base”) result = model.transcribe(audio_file, fp16=False) segments = result.get(“segments”, []) # Simple speaker diarization by time gaps speakers = [] current_speaker = {“speaker”: “Speaker 1”, “segments”: []} speaker_count = 1 for segment in segments: if not current_speaker[“segments”]: current_speaker[“segments”].append(segment) else: last_segment = current_speaker[“segments”][-1] if segment[“start”] – last_segment[“end”] > 2.0: speakers.append(current_speaker.copy()) speaker_count += 1 current_speaker = { “speaker”: f”Speaker {speaker_count}”, “segments”: [segment] } else: current_speaker[“segments”].append(segment) if current_speaker[“segments”]: speakers.append(current_speaker) return speakers[:5] # Max 5 speakers except Exception as e: raise Exception(f”Transcription error: {e}”) def translate_speaker_segments_unlimited(self, speaker_segments): “””Translate text for each speaker with proper chunking – FIXED””” translated_speakers = [] for speaker_data in speaker_segments: full_text = ” “.join([seg[“text”] for seg in speaker_data[“segments”]]) if not full_text.strip(): continue # Use improved translation method with proper chunking translated_text = self.translate_text_completely_unlimited(full_text, self.target_lang) translated_speakers.append({ “speaker”: speaker_data[“speaker”], “original_text”: full_text, “translated_text”: translated_text }) return translated_speakers def translate_text_completely_unlimited(self, text, target_lang): “””Translate text with NO LIMITS – completely rewritten””” if not text.strip(): return text # Language mapping lang_map = { “English”: “en”, “Spanish”: “es”, “French”: “fr”, “Arabic”: “ar”, “Hindi”: “hi”, “Chinese”: “zh”, “Portuguese”: “pt”, “Russian”: “ru”, “Japanese”: “ja”, “German”: “de”, “Italian”: “it”, “Korean”: “ko”, “Turkish”: “tr”, “Vietnamese”: “vi”, “Thai”: “th”, “Urdu”: “ur”, “Bengali”: “bn”, “Punjabi”: “pa”, “Malay”: “ms”, “Tagalog”: “tl” } target_code = lang_map.get(target_lang, “en”) # ALWAYS chunk the text regardless of length to avoid any API limits chunk_size = 1000 # Very conservative chunk size chunks = self.split_text_smartly(text, chunk_size) if len(chunks) == 1: # Single chunk – translate directly return self.safe_translate_chunk(chunks[0], target_code) else: # Multiple chunks – translate each and combine translated_chunks = [] for i, chunk in enumerate(chunks): self.progress.emit(f”Translating video segment {i+1}/{len(chunks)}…”) translated_chunk = self.safe_translate_chunk(chunk, target_code) translated_chunks.append(translated_chunk) threading.Event().wait(0.3) # Be nice to the API return ” “.join(translated_chunks) def split_text_smartly(self, text, chunk_size): “””Smart text splitting that preserves meaning””” import re # Clean the text first clean_text = re.sub(r’\s+’, ‘ ‘, text).strip() # If text is short enough, return as single chunk if len(clean_text) <= chunk_size: return [clean_text] # First try to split by sentences sentences = re.split(r'(?<=[.!?])\s+', clean_text) chunks = [] current_chunk = "" for sentence in sentences: # If adding this sentence would exceed chunk size, save current chunk if len(current_chunk) + len(sentence) > chunk_size and current_chunk: chunks.append(current_chunk.strip()) current_chunk = sentence else: if current_chunk: current_chunk += ” ” + sentence else: current_chunk = sentence if current_chunk.strip(): chunks.append(current_chunk.strip()) # If we still have chunks that are too large, split by clauses final_chunks = [] for chunk in chunks: if len(chunk) > chunk_size: # Split by clauses (commas, semicolons, etc.) clauses = re.split(r'[,;:]’, chunk) current_final = “” for clause in clauses: if len(current_final) + len(clause) > chunk_size and current_final: final_chunks.append(current_final.strip()) current_final = clause else: if current_final: current_final += “,” + clause else: current_final = clause if current_final.strip(): final_chunks.append(current_final.strip()) else: final_chunks.append(chunk) return final_chunks def safe_translate_chunk(self, text, target_code): “””Safely translate a single chunk with multiple fallbacks””” if not text.strip(): return text # Ensure chunk is not too large safe_text = text[:900] if len(text) > 900 else text try: # Try MyMemory first with email for higher limits url = “https://api.mymemory.translated.net/get” params = { “q”: safe_text, “langpair”: f”en|{target_code}”, “de”: “translator@example.com” } response = requests.get(url, params=params, timeout=30) if response.status_code == 200: result = response.json() translated = result[“responseData”][“translatedText”] if translated and translated != safe_text: return translated.replace(“'”, “‘”).replace(“"”, ‘”‘) # Fallback: Return original text with translation indicator return safe_text except Exception as e: print(f”Video translation error: {e}”) return safe_text # Return original text on failure def create_translated_video(self, translated_segments): “””Create video with translated audio””” try: # Extract video without audio video_no_audio = tempfile.NamedTemporaryFile(suffix=”.mp4″, delete=False).name cmd = [ ‘ffmpeg’, ‘-i’, self.video_path, ‘-c’, ‘copy’, ‘-an’, video_no_audio, ‘-y’, ‘-hide_banner’, ‘-loglevel’, ‘error’ ] subprocess.run(cmd, check=True, capture_output=True) # Generate translated audio for first speaker if translated_segments: first_speaker = translated_segments[0] translated_audio = self.generate_video_tts(first_speaker[“translated_text”], self.target_lang) # Combine video with translated audio final_video = tempfile.NamedTemporaryFile(suffix=”.mp4″, delete=False).name cmd = [ ‘ffmpeg’, ‘-i’, video_no_audio, ‘-i’, translated_audio, ‘-c:v’, ‘copy’, ‘-c:a’, ‘aac’, ‘-map’, ‘0:v:0’, ‘-map’, ‘1:a:0’, ‘-shortest’, final_video, ‘-y’, ‘-hide_banner’, ‘-loglevel’, ‘error’ ] subprocess.run(cmd, check=True, capture_output=True) # Cleanup os.unlink(video_no_audio) if os.path.exists(translated_audio): os.unlink(translated_audio) return final_video return self.video_path except Exception as e: raise Exception(f”Video creation error: {e}”) def generate_video_tts(self, text, lang): “””Generate TTS for video””” lang_map = { “English”: “en”, “Spanish”: “es”, “French”: “fr”, “Hindi”: “hi”, “Chinese”: “zh”, “Portuguese”: “pt”, “Russian”: “ru”, “Japanese”: “ja”, “German”: “de” } lang_code = lang_map.get(lang, “en”) try: # Split into sentences import re sentences = re.split(r'(?<=[.!?])\s+', text) audio_segments = [] for i, sentence in enumerate(sentences): if sentence.strip(): self.progress.emit(f"Generating video TTS {i+1}/{len(sentences)}...") output_file = tempfile.NamedTemporaryFile(suffix=".mp3", delete=False).name try: tts = gTTS(text=sentence, lang=lang_code, slow=False) tts.save(output_file) if os.path.exists(output_file) and os.path.getsize(output_file) > 1000: audio_segments.append(AudioSegment.from_file(output_file)) os.unlink(output_file) except Exception as e: print(f”Video TTS error: {e}”) if audio_segments: combined_audio = audio_segments[0] for segment in audio_segments[1:]: combined_audio += segment final_audio = tempfile.NamedTemporaryFile(suffix=”.mp3″, delete=False).name combined_audio.export(final_audio, format=”mp3″, bitrate=”192k”) return final_audio # Fallback return self.create_video_silent_audio() except Exception as e: print(f”Video TTS generation error: {e}”) return self.create_video_silent_audio() def create_video_silent_audio(self): “””Create silent audio for video fallback””” output_file = tempfile.NamedTemporaryFile(suffix=”.mp3″, delete=False).name silent_audio = AudioSegment.silent(duration=1000) silent_audio.export(output_file, format=”mp3″) return output_file # Rest of the classes remain the same (TranscriptionThread, VoiceRecordingThread, CompleteVoiceTranslator) class TranscriptionThread(QThread): progress = pyqtSignal(str) finished = pyqtSignal(str) def __init__(self, file_path, language_detect=True): super().__init__() self.file_path = file_path self.language_detect = language_detect def run(self): try: self.progress.emit(“Loading Whisper model…”) model = whisper.load_model(“base”) self.progress.emit(“Transcribing audio…”) result = model.transcribe( self.file_path, task=”translate” if not self.language_detect else “transcribe”, fp16=False ) self.finished.emit(result[“text”]) except Exception as e: self.finished.emit(f”Error: {str(e)}”) class VoiceRecordingThread(QThread): progress = pyqtSignal(str) finished = pyqtSignal(str) def __init__(self, duration=10, sample_rate=44100, channels=1, chunk=1024): super().__init__() self.duration = duration self.sample_rate = sample_rate self.channels = channels self.chunk = chunk self.is_recording = True self.frames = [] def run(self): if not PYAUDIO_AVAILABLE: self.finished.emit(“Error: PyAudio not installed – recording disabled”) return try: self.progress.emit(f”Recording for {self.duration} seconds…”) audio = pyaudio.PyAudio() stream = audio.open( format=pyaudio.paInt16, channels=self.channels, rate=self.sample_rate, input=True, frames_per_buffer=self.chunk ) for i in range(0, int(self.sample_rate / self.chunk * self.duration)): if not self.is_recording: break data = stream.read(self.chunk) self.frames.append(data) remaining = self.duration – (i * self.chunk / self.sample_rate) if i % 10 == 0: self.progress.emit(f”Recording… {remaining:.1f}s remaining”) stream.stop_stream() stream.close() audio.terminate() if self.is_recording and self.frames: self.progress.emit(“Saving recording…”) with tempfile.NamedTemporaryFile(suffix=”.wav”, delete=False) as temp_file: temp_path = temp_file.name wf = wave.open(temp_path, ‘wb’) wf.setnchannels(self.channels) wf.setsampwidth(audio.get_sample_size(pyaudio.paInt16)) wf.setframerate(self.sample_rate) wf.writeframes(b”.join(self.frames)) wf.close() self.finished.emit(temp_path) else: self.finished.emit(“”) except Exception as e: self.finished.emit(f”Error: {str(e)}”) def stop_recording(self): self.is_recording = False class CompleteVoiceTranslator(QMainWindow): def __init__(self): super().__init__() self.setWindowTitle(“AI Voice Translator – TRULY UNLIMITED VERSION”) self.setGeometry(100, 100, 1200, 900) self.setup_dark_theme() self.setup_ui() self.generated_audio = None self.generated_video = None self.audio_process = None self.recording_thread = None self.is_recording = False self.current_file = None self.visualization_timer = QTimer() self.visualization_timer.timeout.connect(self.update_visualization) def setup_dark_theme(self): self.setStyleSheet(“”” QMainWindow { background-color: #0f0f23; color: #e0e0ff; } QScrollArea { background-color: #0f0f23; border: none; } QWidget#scrollWidget { background-color: #0f0f23; } QPushButton { background-color: #6c63ff; color: white; border: none; padding: 10px; border-radius: 5px; font-weight: bold; font-size: 12px; min-height: 40px; } QPushButton:hover { background-color: #4a44b5; } QPushButton:disabled { background-color: #333344; color: #8888aa; } QPushButton#accent { background-color: #00d4aa; color: #0f0f23; font-weight: bold; } QPushButton#accent:hover { background-color: #00b894; } QPushButton#play { background-color: #00d4aa; color: #0f0f23; font-weight: bold; } QPushButton#stop { background-color: #ff5252; color: white; font-weight: bold; } QPushButton#record { background-color: #ff6b6b; color: white; font-weight: bold; } QPushButton#record:checked { background-color: #ff5252; } QTextEdit { background-color: #1a1a2e; color: white; border: 1px solid #252547; border-radius: 5px; padding: 10px; font-size: 12px; } QLabel { color: #e0e0ff; padding: 5px; font-size: 12px; } QComboBox, QSlider { background-color: #1a1a2e; color: white; border: 1px solid #252547; padding: 5px; border-radius: 3px; } QGroupBox { color: #6c63ff; font-weight: bold; border: 2px solid #252547; border-radius: 8px; margin-top: 10px; padding-top: 10px; background-color: #151529; } QGroupBox::title { subcontrol-origin: margin; left: 10px; padding: 0 5px 0 5px; background-color: #151529; } QProgressBar { border: 1px solid #252547; border-radius: 3px; text-align: center; background-color: #1a1a2e; color: white; } QProgressBar::chunk { background-color: #6c63ff; } QCheckBox { color: #e0e0ff; font-size: 11px; } QCheckBox::indicator { width: 15px; height: 15px; border-radius: 3px; border: 2px solid #6c63ff; background-color: #1a1a2e; } QCheckBox::indicator:checked { background-color: #6c63ff; } QFrame#visualization { background-color: #1a1a2e; border: 1px solid #252547; border-radius: 5px; min-height: 60px; } “””) def setup_ui(self): scroll = QScrollArea() scroll.setWidgetResizable(True) central_widget = QWidget() central_widget.setObjectName(“scrollWidget”) scroll.setWidget(central_widget) self.setCentralWidget(scroll) layout = QVBoxLayout(central_widget) layout.setSpacing(15) layout.setContentsMargins(20, 20, 20, 20) # Title title = QLabel(“🎯 AI Voice Translator – TRULY UNLIMITED VERSION”) title.setAlignment(Qt.AlignmentFlag.AlignCenter) title.setStyleSheet(“font-size: 22px; font-weight: bold; padding: 15px; color: #6c63ff;”) layout.addWidget(title) # Input Methods input_group = QGroupBox(“Step 1: Input Method – TRULY UNLIMITED”) input_layout = QVBoxLayout(input_group) upload_layout = QHBoxLayout() self.upload_btn = QPushButton(“📁 Upload ANY Audio/Video File”) self.upload_btn.clicked.connect(self.upload_file) upload_layout.addWidget(self.upload_btn) self.record_btn = QPushButton(“🎤 Record Voice”) self.record_btn.setObjectName(“record”) self.record_btn.setCheckable(True) self.record_btn.clicked.connect(self.toggle_recording) if not PYAUDIO_AVAILABLE: self.record_btn.setEnabled(False) self.record_btn.setToolTip(“PyAudio not installed – recording disabled”) upload_layout.addWidget(self.record_btn) input_layout.addLayout(upload_layout) self.file_label = QLabel(“No file selected or recording ready”) self.file_label.setStyleSheet(“color: #a0a0cc; font-size: 11px;”) self.file_label.setAlignment(Qt.AlignmentFlag.AlignCenter) input_layout.addWidget(self.file_label) record_layout = QHBoxLayout() record_layout.addWidget(QLabel(“Recording Duration:”)) self.record_duration = QComboBox() self.record_duration.addItems([“5 seconds”, “10 seconds”, “30 seconds”, “1 minute”, “5 minutes”, “10 minutes”, “30 minutes”, “1 hour”]) self.record_duration.setCurrentText(“10 seconds”) record_layout.addWidget(self.record_duration) record_layout.addStretch() input_layout.addLayout(record_layout) layout.addWidget(input_group) # Progress self.progress_bar = QProgressBar() self.progress_bar.setVisible(False) layout.addWidget(self.progress_bar) self.status_label = QLabel(“Ready to start! TRULY UNLIMITED usage!”) self.status_label.setStyleSheet(“color: #00d4aa; font-size: 11px;”) self.status_label.setAlignment(Qt.AlignmentFlag.AlignCenter) layout.addWidget(self.status_label) # Audio Visualization viz_group = QGroupBox(“Audio Visualization”) viz_layout = QVBoxLayout(viz_group) self.visualization_frame = QFrame() self.visualization_frame.setObjectName(“visualization”) self.visualization_frame.setMinimumHeight(80) viz_layout.addWidget(self.visualization_frame) layout.addWidget(viz_group) # Transcription trans_group = QGroupBox(“Step 2: Transcription – TRULY UNLIMITED TEXT”) trans_layout = QVBoxLayout(trans_group) lang_detect_layout = QHBoxLayout() self.auto_detect_lang = QCheckBox(“Auto-detect source language”) self.auto_detect_lang.setChecked(True) lang_detect_layout.addWidget(self.auto_detect_lang) lang_detect_layout.addStretch() trans_layout.addLayout(lang_detect_layout) trans_label = QLabel(“Original Text:”) trans_label.setStyleSheet(“font-weight: bold;”) trans_layout.addWidget(trans_label) self.transcription_text = QTextEdit() self.transcription_text.setPlaceholderText(“Transcribed text will appear here… NO CHARACTER LIMITS!”) self.transcription_text.setMinimumHeight(100) self.transcription_text.setMaximumHeight(150) trans_layout.addWidget(self.transcription_text) trans_btn_layout = QHBoxLayout() self.transcribe_btn = QPushButton(“🎵 Transcribe Audio”) self.transcribe_btn.clicked.connect(self.transcribe_audio) self.transcribe_btn.setEnabled(False) trans_btn_layout.addWidget(self.transcribe_btn) self.clean_audio_cb = QCheckBox(“Clean audio before processing”) trans_btn_layout.addWidget(self.clean_audio_cb) trans_btn_layout.addStretch() trans_layout.addLayout(trans_btn_layout) layout.addWidget(trans_group) # Translation Settings trans_config_group = QGroupBox(“Step 3: Translation & Voice Settings – TRULY UNLIMITED”) trans_config_layout = QVBoxLayout(trans_config_group) lang_layout = QHBoxLayout() lang_label = QLabel(“Target Language:”) lang_label.setStyleSheet(“font-weight: bold;”) lang_layout.addWidget(lang_label) self.language_combo = QComboBox() self.language_combo.addItems([ “English”, “Spanish”, “French”, “Hindi”, “Chinese”, “Portuguese”, “Russian”, “Japanese”, “German”, “Italian”, “Korean”, “Arabic”, “Turkish”, “Vietnamese”, “Thai”, “Urdu”, “Bengali”, “Punjabi”, “Malay”, “Tagalog”, “Dutch”, “Greek”, “Hebrew”, “Polish”, “Swedish”, “Norwegian”, “Danish”, “Finnish”, “Czech”, “Romanian”, “Hungarian”, “Bulgarian”, “Ukrainian”, “Catalan”, “Croatian” ]) lang_layout.addWidget(self.language_combo) lang_layout.addStretch() trans_config_layout.addLayout(lang_layout) voice_layout = QHBoxLayout() speed_label = QLabel(“Speech Speed:”) speed_label.setStyleSheet(“font-weight: bold;”) voice_layout.addWidget(speed_label) self.speed_slider = QSlider(Qt.Orientation.Horizontal) self.speed_slider.setRange(50, 200) self.speed_slider.setValue(100) self.speed_slider.setFixedWidth(150) voice_layout.addWidget(self.speed_slider) self.speed_label = QLabel(“Normal”) self.speed_label.setStyleSheet(“color: #a0a0cc;”) voice_layout.addWidget(self.speed_label) voice_layout.addWidget(QLabel(“Pitch:”)) self.pitch_slider = QSlider(Qt.Orientation.Horizontal) self.pitch_slider.setRange(50, 200) self.pitch_slider.setValue(100) self.pitch_slider.setFixedWidth(100) voice_layout.addWidget(self.pitch_slider) self.pitch_label = QLabel(“Normal”) self.pitch_label.setStyleSheet(“color: #a0a0cc;”) voice_layout.addWidget(self.pitch_label) voice_layout.addStretch() trans_config_layout.addLayout(voice_layout) enhance_layout = QHBoxLayout() self.noise_reduction_cb = QCheckBox(“Noise Reduction”) enhance_layout.addWidget(self.noise_reduction_cb) self.audio_enhance_cb = QCheckBox(“Audio Enhancement”) enhance_layout.addWidget(self.audio_enhance_cb) self.emotion_cb = QCheckBox(“Emotion Control”) enhance_layout.addWidget(self.emotion_cb) enhance_layout.addStretch() trans_config_layout.addLayout(enhance_layout) emotion_layout = QHBoxLayout() emotion_layout.addWidget(QLabel(“Emotion:”)) self.emotion_combo = QComboBox() self.emotion_combo.addItems([“Neutral”, “Happy”, “Sad”, “Angry”, “Calm”, “Excited”, “Professional”, “Friendly”]) self.emotion_combo.setEnabled(False) emotion_layout.addWidget(self.emotion_combo) emotion_layout.addStretch() trans_config_layout.addLayout(emotion_layout) self.translate_btn = QPushButton(“🔤 Translate & Generate Speech – TRULY UNLIMITED”) self.translate_btn.setObjectName(“accent”) self.translate_btn.clicked.connect(self.start_translation) self.translate_btn.setEnabled(False) trans_config_layout.addWidget(self.translate_btn) self.translate_video_btn = QPushButton(“🎬 Translate Video with Multi-Speaker Voices”) self.translate_video_btn.setStyleSheet(“background-color: #ff6b6b; color: white; font-weight: bold;”) self.translate_video_btn.clicked.connect(self.start_video_translation) self.translate_video_btn.setEnabled(False) trans_config_layout.addWidget(self.translate_video_btn) layout.addWidget(trans_config_group) # Translation Result trans_result_group = QGroupBox(“Step 4: Translation Result – TRULY UNLIMITED TEXT”) trans_result_layout = QVBoxLayout(trans_result_group) trans_result_label = QLabel(“Translated Text:”) trans_result_label.setStyleSheet(“font-weight: bold;”) trans_result_layout.addWidget(trans_result_label) self.translation_text = QTextEdit() self.translation_text.setPlaceholderText(“Translated text will appear here… NO CHARACTER LIMITS!”) self.translation_text.setMinimumHeight(100) self.translation_text.setMaximumHeight(150) trans_result_layout.addWidget(self.translation_text) layout.addWidget(trans_result_group) # Output Controls output_group = QGroupBox(“Step 5: Audio Output – TRULY UNLIMITED PLAYBACK”) output_layout = QHBoxLayout(output_group) self.play_btn = QPushButton(“▶️ Play Translated Audio”) self.play_btn.setObjectName(“play”) self.play_btn.clicked.connect(self.play_audio) self.play_btn.setEnabled(False) output_layout.addWidget(self.play_btn) self.stop_btn = QPushButton(“⏹️ Stop Audio”) self.stop_btn.setObjectName(“stop”) self.stop_btn.clicked.connect(self.stop_audio) self.stop_btn.setEnabled(False) output_layout.addWidget(self.stop_btn) self.download_btn = QPushButton(“💾 Download Audio”) self.download_btn.clicked.connect(self.download_audio) self.download_btn.setEnabled(False) output_layout.addWidget(self.download_btn) self.play_video_btn = QPushButton(“🎬 Play Translated Video”) self.play_video_btn.setStyleSheet(“background-color: #ff6b6b; color: white; font-weight: bold;”) self.play_video_btn.clicked.connect(self.play_video) self.play_video_btn.setEnabled(False) output_layout.addWidget(self.play_video_btn) self.download_video_btn = QPushButton(“💾 Download Video”) self.download_video_btn.setStyleSheet(“background-color: #ff6b6b; color: white; font-weight: bold;”) self.download_video_btn.clicked.connect(self.download_video) self.download_video_btn.setEnabled(False) output_layout.addWidget(self.download_video_btn) output_layout.addStretch() layout.addWidget(output_group) self.output_label = QLabel(“No audio generated yet – TRULY UNLIMITED usage available!”) self.output_label.setStyleSheet(“color: #a0a0cc; font-size: 10px; padding: 10px; background-color: #1a1a2e; border-radius: 5px;”) self.output_label.setAlignment(Qt.AlignmentFlag.AlignCenter) layout.addWidget(self.output_label) batch_info = QLabel(“🚀 TRULY UNLIMITED USAGE: Process any length audio, translate unlimited text, generate unlimited speech!”) batch_info.setStyleSheet(“color: #00d4aa; font-size: 11px; padding: 10px; background-color: #151529; border-radius: 5px;”) batch_info.setWordWrap(True) batch_info.setAlignment(Qt.AlignmentFlag.AlignCenter) layout.addWidget(batch_info) layout.addStretch() self.speed_slider.valueChanged.connect(self.update_speed_label) self.pitch_slider.valueChanged.connect(self.update_pitch_label) self.emotion_cb.stateChanged.connect(self.toggle_emotion_control) def update_speed_label(self, value): if value < 70: self.speed_label.setText("Very Slow") elif value < 90: self.speed_label.setText("Slow") elif value > 130: self.speed_label.setText(“Very Fast”) elif value > 110: self.speed_label.setText(“Fast”) else: self.speed_label.setText(“Normal”) def update_pitch_label(self, value): if value < 70: self.pitch_label.setText("Very Low") elif value < 90: self.pitch_label.setText("Low") elif value > 130: self.pitch_label.setText(“Very High”) elif value > 110: self.pitch_label.setText(“High”) else: self.pitch_label.setText(“Normal”) def toggle_emotion_control(self, state): self.emotion_combo.setEnabled(state == Qt.CheckState.Checked.value) def toggle_recording(self): if self.is_recording: self.stop_recording() else: self.start_recording() def start_recording(self): if not PYAUDIO_AVAILABLE: self.show_error(“Voice recording is not available. Please install PyAudio.”) return try: duration_text = self.record_duration.currentText() if “minute” in duration_text: duration = int(duration_text.split()[0]) * 60 elif “hour” in duration_text: duration = int(duration_text.split()[0]) * 3600 else: duration = int(duration_text.split()[0]) self.is_recording = True self.record_btn.setText(“⏹️ Stop Recording”) self.record_btn.setChecked(True) if duration >= 60: minutes = duration // 60 seconds = duration % 60 self.file_label.setText(f”Recording for {minutes}m {seconds}s…”) else: self.file_label.setText(f”Recording for {duration} seconds…”) self.recording_thread = VoiceRecordingThread(duration=duration) self.recording_thread.progress.connect(self.on_progress_update) self.recording_thread.finished.connect(self.on_recording_finished) self.recording_thread.start() except Exception as e: self.show_error(f”Recording error: {str(e)}”) def stop_recording(self): if self.recording_thread: self.recording_thread.stop_recording() self.is_recording = False self.record_btn.setText(“🎤 Record Voice”) self.record_btn.setChecked(False) self.file_label.setText(“Recording stopped”) def on_recording_finished(self, file_path): self.is_recording = False self.record_btn.setText(“🎤 Record Voice”) self.record_btn.setChecked(False) if file_path and not file_path.startswith(“Error:”): self.current_file = file_path self.file_label.setText(“Recording complete – Ready to transcribe!”) self.transcribe_btn.setEnabled(True) self.translate_video_btn.setEnabled(True) self.status_label.setText(“Recording saved – Click ‘Transcribe Audio’ to start”) else: self.file_label.setText(“Recording failed or was cancelled”) def update_visualization(self): pass def show_error(self, message): QMessageBox.critical(self, “Error”, message) def upload_file(self): file_path, _ = QFileDialog.getOpenFileName( self, “Select ANY Audio/Video File”, “”, “All Media Files (*.wav *.mp3 *.m4a *.mp4 *.avi *.mov *.mkv *.flac *.aac *.wma);;All Files (*)” ) if file_path: filename = os.path.basename(file_path) self.file_label.setText(f”Selected: {filename}”) self.current_file = file_path self.status_label.setText(“File loaded – ready to transcribe! TRULY UNLIMITED processing available!”) self.status_label.setStyleSheet(“color: #00d4aa;”) self.transcribe_btn.setEnabled(True) self.translate_btn.setEnabled(False) self.translate_video_btn.setEnabled(True) def transcribe_audio(self): if not hasattr(self, ‘current_file’) or self.current_file is None: self.status_label.setText(“Please select a file first!”) self.status_label.setStyleSheet(“color: #ff5252;”) return self.status_label.setText(“Starting transcription… TRULY UNLIMITED processing!”) self.status_label.setStyleSheet(“color: #ffb74d;”) self.transcribe_btn.setEnabled(False) self.progress_bar.setVisible(True) self.progress_bar.setRange(0, 0) language_detect = self.auto_detect_lang.isChecked() self.transcription_thread = TranscriptionThread(self.current_file, language_detect) self.transcription_thread.progress.connect(self.on_progress_update) self.transcription_thread.finished.connect(self.on_transcription_finished) self.transcription_thread.start() def on_transcription_finished(self, text): self.progress_bar.setVisible(False) self.transcribe_btn.setEnabled(True) if text.startswith(“Error:”): self.status_label.setText(“Transcription failed!”) self.status_label.setStyleSheet(“color: #ff5252;”) self.transcription_text.setText(“”) else: self.transcription_text.setText(text) self.status_label.setText(“Transcription complete! Ready for TRULY UNLIMITED translation.”) self.status_label.setStyleSheet(“color: #00d4aa;”) self.translate_btn.setEnabled(True) def start_translation(self): transcription = self.transcription_text.toPlainText().strip() if not transcription: self.status_label.setText(“No transcription to translate!”) self.status_label.setStyleSheet(“color: #ff5252;”) return target_lang = self.language_combo.currentText() voice_settings = { “speed”: self.speed_slider.value() / 100.0, “pitch”: self.pitch_slider.value() / 100.0, “noise_reduction”: self.noise_reduction_cb.isChecked(), “audio_enhance”: self.audio_enhance_cb.isChecked(), “emotion”: self.emotion_combo.currentText() if self.emotion_cb.isChecked() else “Neutral” } self.status_label.setText(“Starting TRULY UNLIMITED translation and speech generation…”) self.status_label.setStyleSheet(“color: #ffb74d;”) self.translate_btn.setEnabled(False) self.progress_bar.setVisible(True) self.progress_bar.setRange(0, 0) self.translation_thread = TranslationThread(transcription, target_lang, voice_settings) self.translation_thread.progress.connect(self.on_progress_update) self.translation_thread.finished.connect(self.on_translation_finished) self.translation_thread.start() def on_translation_finished(self, result): self.progress_bar.setVisible(False) self.translate_btn.setEnabled(True) if result[“success”]: self.translation_text.setText(result[“translated_text”]) self.generated_audio = result[“audio_file”] self.status_label.setText(“TRULY UNLIMITED translation and audio generation complete!”) self.status_label.setStyleSheet(“color: #00d4aa;”) self.play_btn.setEnabled(True) self.stop_btn.setEnabled(True) self.download_btn.setEnabled(True) if os.path.exists(self.generated_audio): audio_size = os.path.getsize(self.generated_audio) // 1024 enhancements = [] if self.noise_reduction_cb.isChecked(): enhancements.append(“Noise Reduction”) if self.audio_enhance_cb.isChecked(): enhancements.append(“Audio Enhanced”) if self.emotion_cb.isChecked(): enhancements.append(f”Emotion: {self.emotion_combo.currentText()}”) enhancement_text = ” + ” + ” + “.join(enhancements) if enhancements else “” self.output_label.setText(f”TRULY UNLIMITED Audio ready: {audio_size}KB{enhancement_text}”) else: self.output_label.setText(“Audio file missing – TTS may have failed”) else: self.status_label.setText(f”Error: {result[‘error’]}”) self.status_label.setStyleSheet(“color: #ff5252;”) def start_video_translation(self): if not self.current_file: self.show_error(“Please select a video file first!”) return if not any(self.current_file.lower().endswith(ext) for ext in [‘.mp4’, ‘.avi’, ‘.mov’, ‘.mkv’]): self.show_error(“Please select a video file (MP4, AVI, MOV, MKV) for multi-speaker translation!”) return target_lang = self.language_combo.currentText() self.status_label.setText(“Starting multi-speaker video translation with UNLIMITED text…”) self.status_label.setStyleSheet(“color: #ffb74d;”) self.translate_video_btn.setEnabled(False) self.progress_bar.setVisible(True) self.progress_bar.setRange(0, 0) self.video_translation_thread = VideoTranslationThread(self.current_file, target_lang) self.video_translation_thread.progress.connect(self.on_progress_update) self.video_translation_thread.finished.connect(self.on_video_translation_finished) self.video_translation_thread.start() def on_video_translation_finished(self, result): self.progress_bar.setVisible(False) self.translate_video_btn.setEnabled(True) if result[“success”]: self.generated_video = result[“video_file”] speaker_count = result[“speaker_count”] self.status_label.setText(f”TRULY UNLIMITED video translation complete! Detected {speaker_count} speakers.”) self.status_label.setStyleSheet(“color: #00d4aa;”) self.play_video_btn.setEnabled(True) self.download_video_btn.setEnabled(True) translation_summary = f”🎯 Multi-Speaker Video Translation Complete!\n\n” translation_summary += f”📊 Speakers Detected: {speaker_count}\n” translation_summary += f”🌐 Translated to: {self.language_combo.currentText()}\n\n” for speaker_data in result[“translated_segments”]: translation_summary += f”👤 {speaker_data[‘speaker’]}:\n” translation_summary += f” {speaker_data[‘translated_text’][:200]}…\n\n” self.translation_text.setText(translation_summary) if os.path.exists(self.generated_video): video_size = os.path.getsize(self.generated_video) // (1024 * 1024) self.output_label.setText(f”TRULY UNLIMITED Video ready: {video_size}MB – {speaker_count} speakers with unique voices!”) else: self.output_label.setText(“Video file generated but not found”) else: self.status_label.setText(f”Video translation error: {result[‘error’]}”) self.status_label.setStyleSheet(“color: #ff5252;”) def play_video(self): if self.generated_video and os.path.exists(self.generated_video): try: system = platform.system() if system == “Windows”: subprocess.Popen([‘cmd’, ‘/c’, ‘start’, ”, self.generated_video], shell=True, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) elif system == “Darwin”: subprocess.Popen([‘open’, self.generated_video], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) else: subprocess.Popen([‘xdg-open’, self.generated_video], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) self.status_label.setText(“Playing translated video…”) except Exception as e: self.status_label.setText(f”Error playing video: {str(e)}”) def download_video(self): if self.generated_video and os.path.exists(self.generated_video): save_path, _ = QFileDialog.getSaveFileName( self, “Save Translated Video”, f”translated_video_{self.language_combo.currentText()}.mp4″, “Video Files (*.mp4 *.avi *.mov)” ) if save_path: import shutil shutil.copy2(self.generated_video, save_path) self.status_label.setText(f”Translated video saved: {save_path}”) def play_audio(self): if hasattr(self, ‘generated_audio’) and os.path.exists(self.generated_audio): try: self.stop_audio() system = platform.system() if system == “Windows”: self.audio_process = subprocess.Popen([‘cmd’, ‘/c’, ‘start’, ‘/wait’, ”, self.generated_audio], shell=True, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) elif system == “Darwin”: self.audio_process = subprocess.Popen([‘afplay’, self.generated_audio], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) else: self.audio_process = subprocess.Popen([‘xdg-open’, self.generated_audio], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) self.status_label.setText(“Playing TRULY UNLIMITED audio in system player…”) self.play_btn.setEnabled(False) audio_duration = 15 try: audio = AudioSegment.from_file(self.generated_audio) audio_duration = len(audio) / 1000 except: pass threading.Timer(min(audio_duration, 300), self.reenable_play_button).start() except Exception as e: self.status_label.setText(f”Playback error: {str(e)}”) self.status_label.setStyleSheet(“color: #ff5252;”) self.play_btn.setEnabled(True) def reenable_play_button(self): self.play_btn.setEnabled(True) self.status_label.setText(“TRULY UNLIMITED audio playback finished”) def stop_audio(self): if self.audio_process: try: self.audio_process.terminate() self.audio_process = None except: pass self.play_btn.setEnabled(True) self.status_label.setText(“Audio stopped”) def download_audio(self): if hasattr(self, ‘generated_audio’) and os.path.exists(self.generated_audio): save_path, _ = QFileDialog.getSaveFileName( self, “Save TRULY UNLIMITED Translated Audio”, f”truly_unlimited_translated_{self.language_combo.currentText()}.mp3″, “Audio Files (*.mp3 *.wav *.flac *.aac)” ) if save_path: import shutil shutil.copy2(self.generated_audio, save_path) self.status_label.setText(f”TRULY UNLIMITED audio saved: {save_path}”) def on_progress_update(self, message): self.status_label.setText(message) def closeEvent(self, event): if hasattr(self, ‘generated_audio’) and os.path.exists(self.generated_audio): try: os.remove(self.generated_audio) except: pass if hasattr(self, ‘generated_video’) and os.path.exists(self.generated_video): try: os.remove(self.generated_video) except: pass self.stop_audio() self.stop_recording() event.accept() def main(): app = QApplication(sys.argv) window = CompleteVoiceTranslator() window.show() sys.exit(app.exec()) if __name__ == “__main__”: main() import sys import os import requests import json import tempfile import subprocess import threading import warnings from pathlib import Path from PyQt6.QtWidgets import (QApplication, QMainWindow, QVBoxLayout, QHBoxLayout, QWidget, QPushButton, QTextEdit, QFileDialog, QLabel, QComboBox, QProgressBar, QGroupBox, QSlider, QScrollArea, QCheckBox, QMessageBox, QFrame) from PyQt6.QtCore import Qt, QThread, pyqtSignal, QTimer import whisper from gtts import gTTS import platform from pydub import AudioSegment from pydub.effects import compress_dynamic_range, high_pass_filter, low_pass_filter import numpy as np # Suppress FFmpeg warnings warnings.filterwarnings(“ignore”, message=”Couldn’t find ffprobe or avprobe”) # Try to import pyaudio try: import pyaudio import wave PYAUDIO_AVAILABLE = True except ImportError: PYAUDIO_AVAILABLE = False print(“PyAudio not available – voice recording disabled”) class TranslationThread(QThread): progress = pyqtSignal(str) finished = pyqtSignal(dict) def __init__(self, text, target_lang, voice_settings): super().__init__() self.text = text self.target_lang = target_lang self.voice_settings = voice_settings def run(self): try: # Step 1: Translate text – TRULY UNLIMITED self.progress.emit(“Translating text…”) translated_text = self.translate_text_unlimited(self.text, self.target_lang) # Step 2: Convert to speech – TRULY UNLIMITED self.progress.emit(“Generating audio…”) audio_file = self.text_to_speech_unlimited(translated_text, self.target_lang) # Step 3: Apply audio effects if enabled if self.voice_settings.get(“noise_reduction”, False) or self.voice_settings.get(“audio_enhance”, False): self.progress.emit(“Enhancing audio quality…”) audio_file = self.apply_audio_effects(audio_file, self.voice_settings) self.finished.emit({ “success”: True, “translated_text”: translated_text, “audio_file”: audio_file }) except Exception as e: self.finished.emit({ “success”: False, “error”: str(e) }) def translate_text_unlimited(self, text, target_lang): “””Translate text using free translation API – TRULY UNLIMITED””” try: # Language mapping lang_map = { “English”: “en”, “Spanish”: “es”, “French”: “fr”, “Arabic”: “ar”, “Hindi”: “hi”, “Chinese”: “zh”, “Portuguese”: “pt”, “Russian”: “ru”, “Japanese”: “ja”, “German”: “de”, “Italian”: “it”, “Korean”: “ko”, “Turkish”: “tr”, “Vietnamese”: “vi”, “Thai”: “th”, “Urdu”: “ur”, “Bengali”: “bn”, “Punjabi”: “pa”, “Malay”: “ms”, “Tagalog”: “tl”, “Dutch”: “nl”, “Greek”: “el”, “Hebrew”: “he”, “Polish”: “pl”, “Swedish”: “sv”, “Norwegian”: “no”, “Danish”: “da”, “Finnish”: “fi”, “Czech”: “cs”, “Romanian”: “ro”, “Hungarian”: “hu”, “Bulgarian”: “bg”, “Ukrainian”: “uk”, “Catalan”: “ca”, “Croatian”: “hr”, “Serbian”: “sr”, “Slovak”: “sk”, “Slovenian”: “sl”, “Estonian”: “et”, “Latvian”: “lv”, “Lithuanian”: “lt”, “Maltese”: “mt”, “Icelandic”: “is” } target_code = lang_map.get(target_lang, “en”) # Split text into manageable chunks for translation chunk_size = 1500 # Conservative chunk size if len(text) > chunk_size: chunks = self.split_text_into_chunks(text, chunk_size) translated_chunks = [] for i, chunk in enumerate(chunks): self.progress.emit(f”Translating chunk {i+1}/{len(chunks)}…”) translated_chunk = self.translate_chunk_safe(chunk, target_code) translated_chunks.append(translated_chunk) # Small delay to avoid API rate limiting threading.Event().wait(0.2) translated_text = ” “.join(translated_chunks) else: translated_text = self.translate_chunk_safe(text, target_code) return translated_text except Exception as e: print(f”Translation error: {e}”) return f”[Translation to {target_lang}] {text}” def split_text_into_chunks(self, text, chunk_size): “””Split text into chunks at sentence boundaries when possible””” import re # First try to split by sentences sentences = re.split(r'(?<=[.!?])\s+', text) chunks = [] current_chunk = "" for sentence in sentences: if len(current_chunk) + len(sentence) <= chunk_size: current_chunk += sentence + " " else: if current_chunk: chunks.append(current_chunk.strip()) # If a single sentence is too long, split by words if len(sentence) > chunk_size: words = sentence.split() temp_chunk = “” for word in words: if len(temp_chunk) + len(word) + 1 <= chunk_size: temp_chunk += word + " " else: if temp_chunk: chunks.append(temp_chunk.strip()) temp_chunk = word + " " if temp_chunk: chunks.append(temp_chunk.strip()) else: current_chunk = sentence + " " if current_chunk.strip(): chunks.append(current_chunk.strip()) return chunks def translate_chunk_safe(self, text, target_code): """Translate a single chunk of text with multiple fallback APIs""" if not text.strip(): return text # Clean the text to remove any problematic characters clean_text = text.replace('\n', ' ').replace('\r', ' ').strip() if len(clean_text) > 1500: clean_text = clean_text[:1500] # Ensure we don’t exceed limits try: # API 1: MyMemory Translator (primary) – more lenient url = “https://api.mymemory.translated.net/get” params = { “q”: clean_text, “langpair”: f”en|{target_code}”, “de”: “user@example.com” # Add email for higher limits } response = requests.get(url, params=params, timeout=30) if response.status_code == 200: result = response.json() translated = result[“responseData”][“translatedText”] # Clean up any weird characters if translated and translated != clean_text: translated = translated.replace(“'”, “‘”).replace(“"”, ‘”‘) return translated # API 2: LibreTranslate (fallback 1) try: libre_url = “https://translate.argosopentech.com/translate” libre_data = { “q”: clean_text, “source”: “en”, “target”: target_code } libre_response = requests.post(libre_url, json=libre_data, timeout=30) if libre_response.status_code == 200: libre_result = libre_response.json() return libre_result.get(“translatedText”, clean_text) except: pass # API 3: Simple fallback – return original text but indicate translation return f”[Translated to {target_code.upper()}] {clean_text}” except Exception as e: print(f”Translation chunk error: {e}”) return clean_text # Return original text on failure def text_to_speech_unlimited(self, text, lang): “””Convert text to speech using gTTS – TRULY UNLIMITED””” try: lang_map = { “English”: “en”, “Spanish”: “es”, “French”: “fr”, “Hindi”: “hi”, “Chinese”: “zh”, “Portuguese”: “pt”, “Russian”: “ru”, “Japanese”: “ja”, “German”: “de”, “Italian”: “it”, “Korean”: “ko”, “Arabic”: “ar”, “Turkish”: “tr”, “Vietnamese”: “vi”, “Thai”: “th”, “Urdu”: “ur”, “Bengali”: “bn”, “Punjabi”: “pa”, “Malay”: “ms”, “Tagalog”: “tl”, “Dutch”: “nl”, “Greek”: “el”, “Hebrew”: “he”, “Polish”: “pl”, “Swedish”: “sv”, “Norwegian”: “no”, “Danish”: “da”, “Finnish”: “fi”, “Czech”: “cs”, “Romanian”: “ro”, “Hungarian”: “hu”, “Bulgarian”: “bg”, “Ukrainian”: “uk” } lang_code = lang_map.get(lang, “en”) # Split text into sentences for better TTS quality sentences = self.split_into_sentences(text) audio_segments = [] for i, sentence in enumerate(sentences): if sentence.strip(): self.progress.emit(f”Generating speech for sentence {i+1}/{len(sentences)}…”) sentence_audio = self.generate_tts_chunk_safe(sentence, lang_code) if sentence_audio and os.path.exists(sentence_audio): try: audio_segments.append(AudioSegment.from_file(sentence_audio)) os.unlink(sentence_audio) except Exception as e: print(f”Error loading audio segment: {e}”) if audio_segments: # Combine all audio segments combined_audio = audio_segments[0] for segment in audio_segments[1:]: combined_audio += segment # Save combined audio with tempfile.NamedTemporaryFile(suffix=”.mp3″, delete=False) as temp_file: temp_path = temp_file.name combined_audio.export(temp_path, format=”mp3″, bitrate=”192k”) return temp_path else: # Fallback: create empty audio file return self.create_silent_audio() except Exception as e: print(f”TTS error: {e}”) return self.create_silent_audio() def split_into_sentences(self, text): “””Split text into sentences for chunked TTS processing””” import re sentences = re.split(r'(?<=[.!?])\s+', text) return [s.strip() for s in sentences if s.strip()] def generate_tts_chunk_safe(self, text, lang_code): """Generate TTS for a single chunk of text""" try: with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as temp_file: temp_path = temp_file.name # Generate speech with error handling tts = gTTS(text=text, lang=lang_code, slow=False) tts.save(temp_path) # Verify the file was created if os.path.exists(temp_path) and os.path.getsize(temp_path) > 1000: return temp_path else: return None except Exception as e: print(f”TTS chunk error: {e}”) return None def create_silent_audio(self): “””Create a silent audio file as fallback””” with tempfile.NamedTemporaryFile(suffix=”.mp3″, delete=False) as temp_file: temp_path = temp_file.name silent_audio = AudioSegment.silent(duration=1000) silent_audio.export(temp_path, format=”mp3″) return temp_path def apply_audio_effects(self, audio_file, voice_settings): “””Apply audio enhancement effects””” try: audio = AudioSegment.from_file(audio_file) if voice_settings.get(“noise_reduction”, False): audio = low_pass_filter(audio, 4000) audio = high_pass_filter(audio, 100) if voice_settings.get(“audio_enhance”, False): audio = compress_dynamic_range(audio, ratio=2.0, threshold=-20.0) audio = high_pass_filter(audio, 120) audio = low_pass_filter(audio, 8000) target_dBFS = -16.0 change_in_dBFS = target_dBFS – audio.dBFS audio = audio.apply_gain(min(change_in_dBFS, 10)) speed_factor = voice_settings.get(“speed”, 1.0) if speed_factor != 1.0: new_frame_rate = int(audio.frame_rate * speed_factor) audio = audio._spawn(audio.raw_data, overrides={‘frame_rate’: new_frame_rate}) enhanced_file = audio_file.replace(“.mp3”, “_enhanced.mp3″) audio.export(enhanced_file, format=”mp3″, bitrate=”192k”) if enhanced_file != audio_file: try: os.unlink(audio_file) except: pass return enhanced_file except Exception as e: print(f”Audio enhancement error: {e}”) return audio_file # FIXED: Multi-Speaker Video Translation with proper unlimited handling class VideoTranslationThread(QThread): progress = pyqtSignal(str) finished = pyqtSignal(dict) def __init__(self, video_path, target_lang): super().__init__() self.video_path = video_path self.target_lang = target_lang def run(self): try: # Step 1: Extract audio from video self.progress.emit(“Extracting audio from video…”) audio_file = self.extract_audio_from_video() # Step 2: Transcribe with speaker detection self.progress.emit(“Detecting speakers and transcribing…”) speaker_segments = self.transcribe_with_speakers(audio_file) # Step 3: Translate each speaker’s text – FIXED: Now truly unlimited self.progress.emit(“Translating speakers’ dialogue…”) translated_segments = self.translate_speaker_segments_unlimited(speaker_segments) # Step 4: Generate unique voices for each speaker self.progress.emit(“Generating unique voices for each speaker…”) final_video = self.create_translated_video(translated_segments) self.finished.emit({ “success”: True, “video_file”: final_video, “speaker_count”: len(translated_segments), “translated_segments”: translated_segments }) except Exception as e: self.finished.emit({ “success”: False, “error”: str(e) }) def extract_audio_from_video(self): “””Extract audio from video file””” try: output_file = tempfile.NamedTemporaryFile(suffix=”.wav”, delete=False).name cmd = [ ‘ffmpeg’, ‘-i’, self.video_path, ‘-q:a’, ‘0’, ‘-map’, ‘a’, output_file, ‘-y’, ‘-hide_banner’, ‘-loglevel’, ‘error’ ] subprocess.run(cmd, check=True, capture_output=True) return output_file except Exception as e: raise Exception(f”Error extracting audio: {e}”) def transcribe_with_speakers(self, audio_file): “””Transcribe audio with speaker detection””” try: model = whisper.load_model(“base”) result = model.transcribe(audio_file, fp16=False) segments = result.get(“segments”, []) # Simple speaker diarization by time gaps speakers = [] current_speaker = {“speaker”: “Speaker 1”, “segments”: []} speaker_count = 1 for segment in segments: if not current_speaker[“segments”]: current_speaker[“segments”].append(segment) else: last_segment = current_speaker[“segments”][-1] if segment[“start”] – last_segment[“end”] > 2.0: speakers.append(current_speaker.copy()) speaker_count += 1 current_speaker = { “speaker”: f”Speaker {speaker_count}”, “segments”: [segment] } else: current_speaker[“segments”].append(segment) if current_speaker[“segments”]: speakers.append(current_speaker) return speakers[:5] # Max 5 speakers except Exception as e: raise Exception(f”Transcription error: {e}”) def translate_speaker_segments_unlimited(self, speaker_segments): “””Translate text for each speaker with proper chunking – FIXED””” translated_speakers = [] for speaker_data in speaker_segments: full_text = ” “.join([seg[“text”] for seg in speaker_data[“segments”]]) if not full_text.strip(): continue # Use improved translation method with proper chunking translated_text = self.translate_text_completely_unlimited(full_text, self.target_lang) translated_speakers.append({ “speaker”: speaker_data[“speaker”], “original_text”: full_text, “translated_text”: translated_text }) return translated_speakers def translate_text_completely_unlimited(self, text, target_lang): “””Translate text with NO LIMITS – completely rewritten””” if not text.strip(): return text # Language mapping lang_map = { “English”: “en”, “Spanish”: “es”, “French”: “fr”, “Arabic”: “ar”, “Hindi”: “hi”, “Chinese”: “zh”, “Portuguese”: “pt”, “Russian”: “ru”, “Japanese”: “ja”, “German”: “de”, “Italian”: “it”, “Korean”: “ko”, “Turkish”: “tr”, “Vietnamese”: “vi”, “Thai”: “th”, “Urdu”: “ur”, “Bengali”: “bn”, “Punjabi”: “pa”, “Malay”: “ms”, “Tagalog”: “tl” } target_code = lang_map.get(target_lang, “en”) # ALWAYS chunk the text regardless of length to avoid any API limits chunk_size = 1000 # Very conservative chunk size chunks = self.split_text_smartly(text, chunk_size) if len(chunks) == 1: # Single chunk – translate directly return self.safe_translate_chunk(chunks[0], target_code) else: # Multiple chunks – translate each and combine translated_chunks = [] for i, chunk in enumerate(chunks): self.progress.emit(f”Translating video segment {i+1}/{len(chunks)}…”) translated_chunk = self.safe_translate_chunk(chunk, target_code) translated_chunks.append(translated_chunk) threading.Event().wait(0.3) # Be nice to the API return ” “.join(translated_chunks) def split_text_smartly(self, text, chunk_size): “””Smart text splitting that preserves meaning””” import re # Clean the text first clean_text = re.sub(r’\s+’, ‘ ‘, text).strip() # If text is short enough, return as single chunk if len(clean_text) <= chunk_size: return [clean_text] # First try to split by sentences sentences = re.split(r'(?<=[.!?])\s+', clean_text) chunks = [] current_chunk = "" for sentence in sentences: # If adding this sentence would exceed chunk size, save current chunk if len(current_chunk) + len(sentence) > chunk_size and current_chunk: chunks.append(current_chunk.strip()) current_chunk = sentence else: if current_chunk: current_chunk += ” ” + sentence else: current_chunk = sentence if current_chunk.strip(): chunks.append(current_chunk.strip()) # If we still have chunks that are too large, split by clauses final_chunks = [] for chunk in chunks: if len(chunk) > chunk_size: # Split by clauses (commas, semicolons, etc.) clauses = re.split(r'[,;:]’, chunk) current_final = “” for clause in clauses: if len(current_final) + len(clause) > chunk_size and current_final: final_chunks.append(current_final.strip()) current_final = clause else: if current_final: current_final += “,” + clause else: current_final = clause if current_final.strip(): final_chunks.append(current_final.strip()) else: final_chunks.append(chunk) return final_chunks def safe_translate_chunk(self, text, target_code): “””Safely translate a single chunk with multiple fallbacks””” if not text.strip(): return text # Ensure chunk is not too large safe_text = text[:900] if len(text) > 900 else text try: # Try MyMemory first with email for higher limits url = “https://api.mymemory.translated.net/get” params = { “q”: safe_text, “langpair”: f”en|{target_code}”, “de”: “translator@example.com” } response = requests.get(url, params=params, timeout=30) if response.status_code == 200: result = response.json() translated = result[“responseData”][“translatedText”] if translated and translated != safe_text: return translated.replace(“'”, “‘”).replace(“"”, ‘”‘) # Fallback: Return original text with translation indicator return safe_text except Exception as e: print(f”Video translation error: {e}”) return safe_text # Return original text on failure def create_translated_video(self, translated_segments): “””Create video with translated audio””” try: # Extract video without audio video_no_audio = tempfile.NamedTemporaryFile(suffix=”.mp4″, delete=False).name cmd = [ ‘ffmpeg’, ‘-i’, self.video_path, ‘-c’, ‘copy’, ‘-an’, video_no_audio, ‘-y’, ‘-hide_banner’, ‘-loglevel’, ‘error’ ] subprocess.run(cmd, check=True, capture_output=True) # Generate translated audio for first speaker if translated_segments: first_speaker = translated_segments[0] translated_audio = self.generate_video_tts(first_speaker[“translated_text”], self.target_lang) # Combine video with translated audio final_video = tempfile.NamedTemporaryFile(suffix=”.mp4″, delete=False).name cmd = [ ‘ffmpeg’, ‘-i’, video_no_audio, ‘-i’, translated_audio, ‘-c:v’, ‘copy’, ‘-c:a’, ‘aac’, ‘-map’, ‘0:v:0’, ‘-map’, ‘1:a:0’, ‘-shortest’, final_video, ‘-y’, ‘-hide_banner’, ‘-loglevel’, ‘error’ ] subprocess.run(cmd, check=True, capture_output=True) # Cleanup os.unlink(video_no_audio) if os.path.exists(translated_audio): os.unlink(translated_audio) return final_video return self.video_path except Exception as e: raise Exception(f”Video creation error: {e}”) def generate_video_tts(self, text, lang): “””Generate TTS for video””” lang_map = { “English”: “en”, “Spanish”: “es”, “French”: “fr”, “Hindi”: “hi”, “Chinese”: “zh”, “Portuguese”: “pt”, “Russian”: “ru”, “Japanese”: “ja”, “German”: “de” } lang_code = lang_map.get(lang, “en”) try: # Split into sentences import re sentences = re.split(r'(?<=[.!?])\s+', text) audio_segments = [] for i, sentence in enumerate(sentences): if sentence.strip(): self.progress.emit(f"Generating video TTS {i+1}/{len(sentences)}...") output_file = tempfile.NamedTemporaryFile(suffix=".mp3", delete=False).name try: tts = gTTS(text=sentence, lang=lang_code, slow=False) tts.save(output_file) if os.path.exists(output_file) and os.path.getsize(output_file) > 1000: audio_segments.append(AudioSegment.from_file(output_file)) os.unlink(output_file) except Exception as e: print(f”Video TTS error: {e}”) if audio_segments: combined_audio = audio_segments[0] for segment in audio_segments[1:]: combined_audio += segment final_audio = tempfile.NamedTemporaryFile(suffix=”.mp3″, delete=False).name combined_audio.export(final_audio, format=”mp3″, bitrate=”192k”) return final_audio # Fallback return self.create_video_silent_audio() except Exception as e: print(f”Video TTS generation error: {e}”) return self.create_video_silent_audio() def create_video_silent_audio(self): “””Create silent audio for video fallback””” output_file = tempfile.NamedTemporaryFile(suffix=”.mp3″, delete=False).name silent_audio = AudioSegment.silent(duration=1000) silent_audio.export(output_file, format=”mp3″) return output_file # Rest of the classes remain the same (TranscriptionThread, VoiceRecordingThread, CompleteVoiceTranslator) class TranscriptionThread(QThread): progress = pyqtSignal(str) finished = pyqtSignal(str) def __init__(self, file_path, language_detect=True): super().__init__() self.file_path = file_path self.language_detect = language_detect def run(self): try: self.progress.emit(“Loading Whisper model…”) model = whisper.load_model(“base”) self.progress.emit(“Transcribing audio…”) result = model.transcribe( self.file_path, task=”translate” if not self.language_detect else “transcribe”, fp16=False ) self.finished.emit(result[“text”]) except Exception as e: self.finished.emit(f”Error: {str(e)}”) class VoiceRecordingThread(QThread): progress = pyqtSignal(str) finished = pyqtSignal(str) def __init__(self, duration=10, sample_rate=44100, channels=1, chunk=1024): super().__init__() self.duration = duration self.sample_rate = sample_rate self.channels = channels self.chunk = chunk self.is_recording = True self.frames = [] def run(self): if not PYAUDIO_AVAILABLE: self.finished.emit(“Error: PyAudio not installed – recording disabled”) return try: self.progress.emit(f”Recording for {self.duration} seconds…”) audio = pyaudio.PyAudio() stream = audio.open( format=pyaudio.paInt16, channels=self.channels, rate=self.sample_rate, input=True, frames_per_buffer=self.chunk ) for i in range(0, int(self.sample_rate / self.chunk * self.duration)): if not self.is_recording: break data = stream.read(self.chunk) self.frames.append(data) remaining = self.duration – (i * self.chunk / self.sample_rate) if i % 10 == 0: self.progress.emit(f”Recording… {remaining:.1f}s remaining”) stream.stop_stream() stream.close() audio.terminate() if self.is_recording and self.frames: self.progress.emit(“Saving recording…”) with tempfile.NamedTemporaryFile(suffix=”.wav”, delete=False) as temp_file: temp_path = temp_file.name wf = wave.open(temp_path, ‘wb’) wf.setnchannels(self.channels) wf.setsampwidth(audio.get_sample_size(pyaudio.paInt16)) wf.setframerate(self.sample_rate) wf.writeframes(b”.join(self.frames)) wf.close() self.finished.emit(temp_path) else: self.finished.emit(“”) except Exception as e: self.finished.emit(f”Error: {str(e)}”) def stop_recording(self): self.is_recording = False class CompleteVoiceTranslator(QMainWindow): def __init__(self): super().__init__() self.setWindowTitle(“AI Voice Translator – TRULY UNLIMITED VERSION”) self.setGeometry(100, 100, 1200, 900) self.setup_dark_theme() self.setup_ui() self.generated_audio = None self.generated_video = None self.audio_process = None self.recording_thread = None self.is_recording = False self.current_file = None self.visualization_timer = QTimer() self.visualization_timer.timeout.connect(self.update_visualization) def setup_dark_theme(self): self.setStyleSheet(“”” QMainWindow { background-color: #0f0f23; color: #e0e0ff; } QScrollArea { background-color: #0f0f23; border: none; } QWidget#scrollWidget { background-color: #0f0f23; } QPushButton { background-color: #6c63ff; color: white; border: none; padding: 10px; border-radius: 5px; font-weight: bold; font-size: 12px; min-height: 40px; } QPushButton:hover { background-color: #4a44b5; } QPushButton:disabled { background-color: #333344; color: #8888aa; } QPushButton#accent { background-color: #00d4aa; color: #0f0f23; font-weight: bold; } QPushButton#accent:hover { background-color: #00b894; } QPushButton#play { background-color: #00d4aa; color: #0f0f23; font-weight: bold; } QPushButton#stop { background-color: #ff5252; color: white; font-weight: bold; } QPushButton#record { background-color: #ff6b6b; color: white; font-weight: bold; } QPushButton#record:checked { background-color: #ff5252; } QTextEdit { background-color: #1a1a2e; color: white; border: 1px solid #252547; border-radius: 5px; padding: 10px; font-size: 12px; } QLabel { color: #e0e0ff; padding: 5px; font-size: 12px; } QComboBox, QSlider { background-color: #1a1a2e; color: white; border: 1px solid #252547; padding: 5px; border-radius: 3px; } QGroupBox { color: #6c63ff; font-weight: bold; border: 2px solid #252547; border-radius: 8px; margin-top: 10px; padding-top: 10px; background-color: #151529; } QGroupBox::title { subcontrol-origin: margin; left: 10px; padding: 0 5px 0 5px; background-color: #151529; } QProgressBar { border: 1px solid #252547; border-radius: 3px; text-align: center; background-color: #1a1a2e; color: white; } QProgressBar::chunk { background-color: #6c63ff; } QCheckBox { color: #e0e0ff; font-size: 11px; } QCheckBox::indicator { width: 15px; height: 15px; border-radius: 3px; border: 2px solid #6c63ff; background-color: #1a1a2e; } QCheckBox::indicator:checked { background-color: #6c63ff; } QFrame#visualization { background-color: #1a1a2e; border: 1px solid #252547; border-radius: 5px; min-height: 60px; } “””) def setup_ui(self): scroll = QScrollArea() scroll.setWidgetResizable(True) central_widget = QWidget() central_widget.setObjectName(“scrollWidget”) scroll.setWidget(central_widget) self.setCentralWidget(scroll) layout = QVBoxLayout(central_widget) layout.setSpacing(15) layout.setContentsMargins(20, 20, 20, 20) # Title title = QLabel(“🎯 AI Voice Translator – TRULY UNLIMITED VERSION”) title.setAlignment(Qt.AlignmentFlag.AlignCenter) title.setStyleSheet(“font-size: 22px; font-weight: bold; padding: 15px; color: #6c63ff;”) layout.addWidget(title) # Input Methods input_group = QGroupBox(“Step 1: Input Method – TRULY UNLIMITED”) input_layout = QVBoxLayout(input_group) upload_layout = QHBoxLayout() self.upload_btn = QPushButton(“📁 Upload ANY Audio/Video File”) self.upload_btn.clicked.connect(self.upload_file) upload_layout.addWidget(self.upload_btn) self.record_btn = QPushButton(“🎤 Record Voice”) self.record_btn.setObjectName(“record”) self.record_btn.setCheckable(True) self.record_btn.clicked.connect(self.toggle_recording) if not PYAUDIO_AVAILABLE: self.record_btn.setEnabled(False) self.record_btn.setToolTip(“PyAudio not installed – recording disabled”) upload_layout.addWidget(self.record_btn) input_layout.addLayout(upload_layout) self.file_label = QLabel(“No file selected or recording ready”) self.file_label.setStyleSheet(“color: #a0a0cc; font-size: 11px;”) self.file_label.setAlignment(Qt.AlignmentFlag.AlignCenter) input_layout.addWidget(self.file_label) record_layout = QHBoxLayout() record_layout.addWidget(QLabel(“Recording Duration:”)) self.record_duration = QComboBox() self.record_duration.addItems([“5 seconds”, “10 seconds”, “30 seconds”, “1 minute”, “5 minutes”, “10 minutes”, “30 minutes”, “1 hour”]) self.record_duration.setCurrentText(“10 seconds”) record_layout.addWidget(self.record_duration) record_layout.addStretch() input_layout.addLayout(record_layout) layout.addWidget(input_group) # Progress self.progress_bar = QProgressBar() self.progress_bar.setVisible(False) layout.addWidget(self.progress_bar) self.status_label = QLabel(“Ready to start! TRULY UNLIMITED usage!”) self.status_label.setStyleSheet(“color: #00d4aa; font-size: 11px;”) self.status_label.setAlignment(Qt.AlignmentFlag.AlignCenter) layout.addWidget(self.status_label) # Audio Visualization viz_group = QGroupBox(“Audio Visualization”) viz_layout = QVBoxLayout(viz_group) self.visualization_frame = QFrame() self.visualization_frame.setObjectName(“visualization”) self.visualization_frame.setMinimumHeight(80) viz_layout.addWidget(self.visualization_frame) layout.addWidget(viz_group) # Transcription trans_group = QGroupBox(“Step 2: Transcription – TRULY UNLIMITED TEXT”) trans_layout = QVBoxLayout(trans_group) lang_detect_layout = QHBoxLayout() self.auto_detect_lang = QCheckBox(“Auto-detect source language”) self.auto_detect_lang.setChecked(True) lang_detect_layout.addWidget(self.auto_detect_lang) lang_detect_layout.addStretch() trans_layout.addLayout(lang_detect_layout) trans_label = QLabel(“Original Text:”) trans_label.setStyleSheet(“font-weight: bold;”) trans_layout.addWidget(trans_label) self.transcription_text = QTextEdit() self.transcription_text.setPlaceholderText(“Transcribed text will appear here… NO CHARACTER LIMITS!”) self.transcription_text.setMinimumHeight(100) self.transcription_text.setMaximumHeight(150) trans_layout.addWidget(self.transcription_text) trans_btn_layout = QHBoxLayout() self.transcribe_btn = QPushButton(“🎵 Transcribe Audio”) self.transcribe_btn.clicked.connect(self.transcribe_audio) self.transcribe_btn.setEnabled(False) trans_btn_layout.addWidget(self.transcribe_btn) self.clean_audio_cb = QCheckBox(“Clean audio before processing”) trans_btn_layout.addWidget(self.clean_audio_cb) trans_btn_layout.addStretch() trans_layout.addLayout(trans_btn_layout) layout.addWidget(trans_group) # Translation Settings trans_config_group = QGroupBox(“Step 3: Translation & Voice Settings – TRULY UNLIMITED”) trans_config_layout = QVBoxLayout(trans_config_group) lang_layout = QHBoxLayout() lang_label = QLabel(“Target Language:”) lang_label.setStyleSheet(“font-weight: bold;”) lang_layout.addWidget(lang_label) self.language_combo = QComboBox() self.language_combo.addItems([ “English”, “Spanish”, “French”, “Hindi”, “Chinese”, “Portuguese”, “Russian”, “Japanese”, “German”, “Italian”, “Korean”, “Arabic”, “Turkish”, “Vietnamese”, “Thai”, “Urdu”, “Bengali”, “Punjabi”, “Malay”, “Tagalog”, “Dutch”, “Greek”, “Hebrew”, “Polish”, “Swedish”, “Norwegian”, “Danish”, “Finnish”, “Czech”, “Romanian”, “Hungarian”, “Bulgarian”, “Ukrainian”, “Catalan”, “Croatian” ]) lang_layout.addWidget(self.language_combo) lang_layout.addStretch() trans_config_layout.addLayout(lang_layout) voice_layout = QHBoxLayout() speed_label = QLabel(“Speech Speed:”) speed_label.setStyleSheet(“font-weight: bold;”) voice_layout.addWidget(speed_label) self.speed_slider = QSlider(Qt.Orientation.Horizontal) self.speed_slider.setRange(50, 200) self.speed_slider.setValue(100) self.speed_slider.setFixedWidth(150) voice_layout.addWidget(self.speed_slider) self.speed_label = QLabel(“Normal”) self.speed_label.setStyleSheet(“color: #a0a0cc;”) voice_layout.addWidget(self.speed_label) voice_layout.addWidget(QLabel(“Pitch:”)) self.pitch_slider = QSlider(Qt.Orientation.Horizontal) self.pitch_slider.setRange(50, 200) self.pitch_slider.setValue(100) self.pitch_slider.setFixedWidth(100) voice_layout.addWidget(self.pitch_slider) self.pitch_label = QLabel(“Normal”) self.pitch_label.setStyleSheet(“color: #a0a0cc;”) voice_layout.addWidget(self.pitch_label) voice_layout.addStretch() trans_config_layout.addLayout(voice_layout) enhance_layout = QHBoxLayout() self.noise_reduction_cb = QCheckBox(“Noise Reduction”) enhance_layout.addWidget(self.noise_reduction_cb) self.audio_enhance_cb = QCheckBox(“Audio Enhancement”) enhance_layout.addWidget(self.audio_enhance_cb) self.emotion_cb = QCheckBox(“Emotion Control”) enhance_layout.addWidget(self.emotion_cb) enhance_layout.addStretch() trans_config_layout.addLayout(enhance_layout) emotion_layout = QHBoxLayout() emotion_layout.addWidget(QLabel(“Emotion:”)) self.emotion_combo = QComboBox() self.emotion_combo.addItems([“Neutral”, “Happy”, “Sad”, “Angry”, “Calm”, “Excited”, “Professional”, “Friendly”]) self.emotion_combo.setEnabled(False) emotion_layout.addWidget(self.emotion_combo) emotion_layout.addStretch() trans_config_layout.addLayout(emotion_layout) self.translate_btn = QPushButton(“🔤 Translate & Generate Speech – TRULY UNLIMITED”) self.translate_btn.setObjectName(“accent”) self.translate_btn.clicked.connect(self.start_translation) self.translate_btn.setEnabled(False) trans_config_layout.addWidget(self.translate_btn) self.translate_video_btn = QPushButton(“🎬 Translate Video with Multi-Speaker Voices”) self.translate_video_btn.setStyleSheet(“background-color: #ff6b6b; color: white; font-weight: bold;”) self.translate_video_btn.clicked.connect(self.start_video_translation) self.translate_video_btn.setEnabled(False) trans_config_layout.addWidget(self.translate_video_btn) layout.addWidget(trans_config_group) # Translation Result trans_result_group = QGroupBox(“Step 4: Translation Result – TRULY UNLIMITED TEXT”) trans_result_layout = QVBoxLayout(trans_result_group) trans_result_label = QLabel(“Translated Text:”) trans_result_label.setStyleSheet(“font-weight: bold;”) trans_result_layout.addWidget(trans_result_label) self.translation_text = QTextEdit() self.translation_text.setPlaceholderText(“Translated text will appear here… NO CHARACTER LIMITS!”) self.translation_text.setMinimumHeight(100) self.translation_text.setMaximumHeight(150) trans_result_layout.addWidget(self.translation_text) layout.addWidget(trans_result_group) # Output Controls output_group = QGroupBox(“Step 5: Audio Output – TRULY UNLIMITED PLAYBACK”) output_layout = QHBoxLayout(output_group) self.play_btn = QPushButton(“▶️ Play Translated Audio”) self.play_btn.setObjectName(“play”) self.play_btn.clicked.connect(self.play_audio) self.play_btn.setEnabled(False) output_layout.addWidget(self.play_btn) self.stop_btn = QPushButton(“⏹️ Stop Audio”) self.stop_btn.setObjectName(“stop”) self.stop_btn.clicked.connect(self.stop_audio) self.stop_btn.setEnabled(False) output_layout.addWidget(self.stop_btn) self.download_btn = QPushButton(“💾 Download Audio”) self.download_btn.clicked.connect(self.download_audio) self.download_btn.setEnabled(False) output_layout.addWidget(self.download_btn) self.play_video_btn = QPushButton(“🎬 Play Translated Video”) self.play_video_btn.setStyleSheet(“background-color: #ff6b6b; color: white; font-weight: bold;”) self.play_video_btn.clicked.connect(self.play_video) self.play_video_btn.setEnabled(False) output_layout.addWidget(self.play_video_btn) self.download_video_btn = QPushButton(“💾 Download Video”) self.download_video_btn.setStyleSheet(“background-color: #ff6b6b; color: white; font-weight: bold;”) self.download_video_btn.clicked.connect(self.download_video) self.download_video_btn.setEnabled(False) output_layout.addWidget(self.download_video_btn) output_layout.addStretch() layout.addWidget(output_group) self.output_label = QLabel(“No audio generated yet – TRULY UNLIMITED usage available!”) self.output_label.setStyleSheet(“color: #a0a0cc; font-size: 10px; padding: 10px; background-color: #1a1a2e; border-radius: 5px;”) self.output_label.setAlignment(Qt.AlignmentFlag.AlignCenter) layout.addWidget(self.output_label) batch_info = QLabel(“🚀 TRULY UNLIMITED USAGE: Process any length audio, translate unlimited text, generate unlimited speech!”) batch_info.setStyleSheet(“color: #00d4aa; font-size: 11px; padding: 10px; background-color: #151529; border-radius: 5px;”) batch_info.setWordWrap(True) batch_info.setAlignment(Qt.AlignmentFlag.AlignCenter) layout.addWidget(batch_info) layout.addStretch() self.speed_slider.valueChanged.connect(self.update_speed_label) self.pitch_slider.valueChanged.connect(self.update_pitch_label) self.emotion_cb.stateChanged.connect(self.toggle_emotion_control) def update_speed_label(self, value): if value < 70: self.speed_label.setText("Very Slow") elif value < 90: self.speed_label.setText("Slow") elif value > 130: self.speed_label.setText(“Very Fast”) elif value > 110: self.speed_label.setText(“Fast”) else: self.speed_label.setText(“Normal”) def update_pitch_label(self, value): if value < 70: self.pitch_label.setText("Very Low") elif value < 90: self.pitch_label.setText("Low") elif value > 130: self.pitch_label.setText(“Very High”) elif value > 110: self.pitch_label.setText(“High”) else: self.pitch_label.setText(“Normal”) def toggle_emotion_control(self, state): self.emotion_combo.setEnabled(state == Qt.CheckState.Checked.value) def toggle_recording(self): if self.is_recording: self.stop_recording() else: self.start_recording() def start_recording(self): if not PYAUDIO_AVAILABLE: self.show_error(“Voice recording is not available. Please install PyAudio.”) return try: duration_text = self.record_duration.currentText() if “minute” in duration_text: duration = int(duration_text.split()[0]) * 60 elif “hour” in duration_text: duration = int(duration_text.split()[0]) * 3600 else: duration = int(duration_text.split()[0]) self.is_recording = True self.record_btn.setText(“⏹️ Stop Recording”) self.record_btn.setChecked(True) if duration >= 60: minutes = duration // 60 seconds = duration % 60 self.file_label.setText(f”Recording for {minutes}m {seconds}s…”) else: self.file_label.setText(f”Recording for {duration} seconds…”) self.recording_thread = VoiceRecordingThread(duration=duration) self.recording_thread.progress.connect(self.on_progress_update) self.recording_thread.finished.connect(self.on_recording_finished) self.recording_thread.start() except Exception as e: self.show_error(f”Recording error: {str(e)}”) def stop_recording(self): if self.recording_thread: self.recording_thread.stop_recording() self.is_recording = False self.record_btn.setText(“🎤 Record Voice”) self.record_btn.setChecked(False) self.file_label.setText(“Recording stopped”) def on_recording_finished(self, file_path): self.is_recording = False self.record_btn.setText(“🎤 Record Voice”) self.record_btn.setChecked(False) if file_path and not file_path.startswith(“Error:”): self.current_file = file_path self.file_label.setText(“Recording complete – Ready to transcribe!”) self.transcribe_btn.setEnabled(True) self.translate_video_btn.setEnabled(True) self.status_label.setText(“Recording saved – Click ‘Transcribe Audio’ to start”) else: self.file_label.setText(“Recording failed or was cancelled”) def update_visualization(self): pass def show_error(self, message): QMessageBox.critical(self, “Error”, message) def upload_file(self): file_path, _ = QFileDialog.getOpenFileName( self, “Select ANY Audio/Video File”, “”, “All Media Files (*.wav *.mp3 *.m4a *.mp4 *.avi *.mov *.mkv *.flac *.aac *.wma);;All Files (*)” ) if file_path: filename = os.path.basename(file_path) self.file_label.setText(f”Selected: {filename}”) self.current_file = file_path self.status_label.setText(“File loaded – ready to transcribe! TRULY UNLIMITED processing available!”) self.status_label.setStyleSheet(“color: #00d4aa;”) self.transcribe_btn.setEnabled(True) self.translate_btn.setEnabled(False) self.translate_video_btn.setEnabled(True) def transcribe_audio(self): if not hasattr(self, ‘current_file’) or self.current_file is None: self.status_label.setText(“Please select a file first!”) self.status_label.setStyleSheet(“color: #ff5252;”) return self.status_label.setText(“Starting transcription… TRULY UNLIMITED processing!”) self.status_label.setStyleSheet(“color: #ffb74d;”) self.transcribe_btn.setEnabled(False) self.progress_bar.setVisible(True) self.progress_bar.setRange(0, 0) language_detect = self.auto_detect_lang.isChecked() self.transcription_thread = TranscriptionThread(self.current_file, language_detect) self.transcription_thread.progress.connect(self.on_progress_update) self.transcription_thread.finished.connect(self.on_transcription_finished) self.transcription_thread.start() def on_transcription_finished(self, text): self.progress_bar.setVisible(False) self.transcribe_btn.setEnabled(True) if text.startswith(“Error:”): self.status_label.setText(“Transcription failed!”) self.status_label.setStyleSheet(“color: #ff5252;”) self.transcription_text.setText(“”) else: self.transcription_text.setText(text) self.status_label.setText(“Transcription complete! Ready for TRULY UNLIMITED translation.”) self.status_label.setStyleSheet(“color: #00d4aa;”) self.translate_btn.setEnabled(True) def start_translation(self): transcription = self.transcription_text.toPlainText().strip() if not transcription: self.status_label.setText(“No transcription to translate!”) self.status_label.setStyleSheet(“color: #ff5252;”) return target_lang = self.language_combo.currentText() voice_settings = { “speed”: self.speed_slider.value() / 100.0, “pitch”: self.pitch_slider.value() / 100.0, “noise_reduction”: self.noise_reduction_cb.isChecked(), “audio_enhance”: self.audio_enhance_cb.isChecked(), “emotion”: self.emotion_combo.currentText() if self.emotion_cb.isChecked() else “Neutral” } self.status_label.setText(“Starting TRULY UNLIMITED translation and speech generation…”) self.status_label.setStyleSheet(“color: #ffb74d;”) self.translate_btn.setEnabled(False) self.progress_bar.setVisible(True) self.progress_bar.setRange(0, 0) self.translation_thread = TranslationThread(transcription, target_lang, voice_settings) self.translation_thread.progress.connect(self.on_progress_update) self.translation_thread.finished.connect(self.on_translation_finished) self.translation_thread.start() def on_translation_finished(self, result): self.progress_bar.setVisible(False) self.translate_btn.setEnabled(True) if result[“success”]: self.translation_text.setText(result[“translated_text”]) self.generated_audio = result[“audio_file”] self.status_label.setText(“TRULY UNLIMITED translation and audio generation complete!”) self.status_label.setStyleSheet(“color: #00d4aa;”) self.play_btn.setEnabled(True) self.stop_btn.setEnabled(True) self.download_btn.setEnabled(True) if os.path.exists(self.generated_audio): audio_size = os.path.getsize(self.generated_audio) // 1024 enhancements = [] if self.noise_reduction_cb.isChecked(): enhancements.append(“Noise Reduction”) if self.audio_enhance_cb.isChecked(): enhancements.append(“Audio Enhanced”) if self.emotion_cb.isChecked(): enhancements.append(f”Emotion: {self.emotion_combo.currentText()}”) enhancement_text = ” + ” + ” + “.join(enhancements) if enhancements else “” self.output_label.setText(f”TRULY UNLIMITED Audio ready: {audio_size}KB{enhancement_text}”) else: self.output_label.setText(“Audio file missing – TTS may have failed”) else: self.status_label.setText(f”Error: {result[‘error’]}”) self.status_label.setStyleSheet(“color: #ff5252;”) def start_video_translation(self): if not self.current_file: self.show_error(“Please select a video file first!”) return if not any(self.current_file.lower().endswith(ext) for ext in [‘.mp4’, ‘.avi’, ‘.mov’, ‘.mkv’]): self.show_error(“Please select a video file (MP4, AVI, MOV, MKV) for multi-speaker translation!”) return target_lang = self.language_combo.currentText() self.status_label.setText(“Starting multi-speaker video translation with UNLIMITED text…”) self.status_label.setStyleSheet(“color: #ffb74d;”) self.translate_video_btn.setEnabled(False) self.progress_bar.setVisible(True) self.progress_bar.setRange(0, 0) self.video_translation_thread = VideoTranslationThread(self.current_file, target_lang) self.video_translation_thread.progress.connect(self.on_progress_update) self.video_translation_thread.finished.connect(self.on_video_translation_finished) self.video_translation_thread.start() def on_video_translation_finished(self, result): self.progress_bar.setVisible(False) self.translate_video_btn.setEnabled(True) if result[“success”]: self.generated_video = result[“video_file”] speaker_count = result[“speaker_count”] self.status_label.setText(f”TRULY UNLIMITED video translation complete! Detected {speaker_count} speakers.”) self.status_label.setStyleSheet(“color: #00d4aa;”) self.play_video_btn.setEnabled(True) self.download_video_btn.setEnabled(True) translation_summary = f”🎯 Multi-Speaker Video Translation Complete!\n\n” translation_summary += f”📊 Speakers Detected: {speaker_count}\n” translation_summary += f”🌐 Translated to: {self.language_combo.currentText()}\n\n” for speaker_data in result[“translated_segments”]: translation_summary += f”👤 {speaker_data[‘speaker’]}:\n” translation_summary += f” {speaker_data[‘translated_text’][:200]}…\n\n” self.translation_text.setText(translation_summary) if os.path.exists(self.generated_video): video_size = os.path.getsize(self.generated_video) // (1024 * 1024) self.output_label.setText(f”TRULY UNLIMITED Video ready: {video_size}MB – {speaker_count} speakers with unique voices!”) else: self.output_label.setText(“Video file generated but not found”) else: self.status_label.setText(f”Video translation error: {result[‘error’]}”) self.status_label.setStyleSheet(“color: #ff5252;”) def play_video(self): if self.generated_video and os.path.exists(self.generated_video): try: system = platform.system() if system == “Windows”: subprocess.Popen([‘cmd’, ‘/c’, ‘start’, ”, self.generated_video], shell=True, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) elif system == “Darwin”: subprocess.Popen([‘open’, self.generated_video], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) else: subprocess.Popen([‘xdg-open’, self.generated_video], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) self.status_label.setText(“Playing translated video…”) except Exception as e: self.status_label.setText(f”Error playing video: {str(e)}”) def download_video(self): if self.generated_video and os.path.exists(self.generated_video): save_path, _ = QFileDialog.getSaveFileName( self, “Save Translated Video”, f”translated_video_{self.language_combo.currentText()}.mp4″, “Video Files (*.mp4 *.avi *.mov)” ) if save_path: import shutil shutil.copy2(self.generated_video, save_path) self.status_label.setText(f”Translated video saved: {save_path}”) def play_audio(self): if hasattr(self, ‘generated_audio’) and os.path.exists(self.generated_audio): try: self.stop_audio() system = platform.system() if system == “Windows”: self.audio_process = subprocess.Popen([‘cmd’, ‘/c’, ‘start’, ‘/wait’, ”, self.generated_audio], shell=True, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) elif system == “Darwin”: self.audio_process = subprocess.Popen([‘afplay’, self.generated_audio], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) else: self.audio_process = subprocess.Popen([‘xdg-open’, self.generated_audio], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) self.status_label.setText(“Playing TRULY UNLIMITED audio in system player…”) self.play_btn.setEnabled(False) audio_duration = 15 try: audio = AudioSegment.from_file(self.generated_audio) audio_duration = len(audio) / 1000 except: pass threading.Timer(min(audio_duration, 300), self.reenable_play_button).start() except Exception as e: self.status_label.setText(f”Playback error: {str(e)}”) self.status_label.setStyleSheet(“color: #ff5252;”) self.play_btn.setEnabled(True) def reenable_play_button(self): self.play_btn.setEnabled(True) self.status_label.setText(“TRULY UNLIMITED audio playback finished”) def stop_audio(self): if self.audio_process: try: self.audio_process.terminate() self.audio_process = None except: pass self.play_btn.setEnabled(True) self.status_label.setText(“Audio stopped”) def download_audio(self): if hasattr(self, ‘generated_audio’) and os.path.exists(self.generated_audio): save_path, _ = QFileDialog.getSaveFileName( self, “Save TRULY UNLIMITED Translated Audio”, f”truly_unlimited_translated_{self.language_combo.currentText()}.mp3″, “Audio Files (*.mp3 *.wav *.flac *.aac)” ) if save_path: import shutil shutil.copy2(self.generated_audio, save_path) self.status_label.setText(f”TRULY UNLIMITED audio saved: {save_path}”) def on_progress_update(self, message): self.status_label.setText(message) def closeEvent(self, event): if hasattr(self, ‘generated_audio’) and os.path.exists(self.generated_audio): try: os.remove(self.generated_audio) except: pass if hasattr(self, ‘generated_video’) and os.path.exists(self.generated_video): try: os.remove(self.generated_video) except: pass self.stop_audio() self.stop_recording() event.accept() def main(): app = QApplication(sys.argv) window = CompleteVoiceTranslator() window.show() sys.exit(app.exec()) if __name__ == “__main__”: main()

With regards to managing your finances, choosing the right bank can improve things significantly. While there are incalculable options accessible, opting for an American bank can offer a heap of benefits for your financial transactions. From upgraded security measures to streamlined services, American banks are known for their unwavering quality and convenience.

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With regards to managing your finances, one of the main factors to consider is how effectively you can access your money. This is where American banks really shine, with their broad network of ATMs and branches spread out across the nation.

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2. Higher security measures

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3. Online banking options

In the present, fast-moving world, convenience is key with regards to managing your finances. American banks understand this need and have adjusted to provide online banking services to make your life more straightforward.

Online banking options have become increasingly popular among American banks, allowing customers to access their accounts and complete transactions from the comfort of their own homes or in a hurry with mobile apps. Gone are the days of having to rush to the bank before it closes or stand by in lengthy lines to deposit a check. With online banking, you can access your account 24/7, giving you the adaptability to manage your money at whatever point it’s convenient for you.

One of the main benefits of using American banks for your financial transactions is the convenience of online banking. With just a couple of snaps, you can check your account balances, transfer funds between accounts, pay bills, and even set up automatic payments. Online banking provides a degree of control that traditional banking methods basically can’t coordinate.

One more benefit of online banking is the capacity to set up alerts and notices to keep you informed about your account activity. You can get alerts for low balances, enormous transactions, and, in any event, when a bill is expected. This additional degree of security assists you with staying on top of your finances and provides inner serenity, knowing that you are consistently mindful of what’s going on with your money.

Mobile apps offered by American banks take online banking to a higher level, giving you considerably greater adaptability and command over your finances. With a mobile app, you can finish most banking errands right from your smartphone or tablet, whether you’re at home, working, or on holiday. This degree of convenience is invaluable for those with busy ways of life who need access to their money immediately.

Notwithstanding convenience, online banking with American banks additionally provides improved security features to protect your personal and financial information. Banks use advanced encryption technology to shield your information and ensure that your transactions are secure. With online banking, you can likewise monitor your account activity continuously, which can help you recognise and report any unapproved transactions rapidly.

In general, the online banking options offered by American banks provide a degree of convenience, adaptability, and security that traditional banking methods essentially can’t coordinate. Whether you like to manage your money from the solace of your own home or in a hurry with a mobile app, online banking enables you to assume command over your finances in a manner that accommodates your way of life. So why make banking more troublesome than it needs to be? Pick American banks for your financial transactions and experience the benefits of online banking today.