AIDub
AI-powered tool that automates the dubbing of videos into different languages using advanced speech recognition, translation, and text-to-speech technologies.
Technology Stack
Python
AI/ML
React.js
Node.js
AIDub
Tech Stack: Python, AI/ML, React.js, Node.js, FFmpeg, Whisper, TTS
Overview
AIDub is an innovative AI-powered solution that automates the dubbing of videos into different languages. It seamlessly processes input videos by extracting audio, translating transcripts, synthesizing natural-sounding audio in target languages, and merging it back with the original video. This powerful tool is ideal for content creators, educators, and businesses aiming to reach a global audience without the high costs and time investment of traditional dubbing.
Key Features
🎤 Automatic Speech Recognition (ASR)
- Advanced speech-to-text conversion using state-of-the-art models
- Extracts accurate transcripts from video audio
- Support for multiple input languages
- Handles various audio qualities and accents
- Real-time processing capabilities
🌍 Multi-Language Translation
- Translates transcripts into multiple target languages
- Maintains context and meaning across translations
- Support for 50+ languages
- Preserves technical terms and proper nouns
- Intelligent handling of idioms and cultural references
🗣️ Text-to-Speech (TTS)
- Generates natural-sounding audio in target languages
- Multiple voice options for different demographics
- Adjustable speech rate and pitch
- High-quality audio output
- Emotion and tone preservation
🎬 Video Processing & Merging
- Seamless audio-video synchronization
- Preserves original video quality
- Automatic audio level balancing
- Support for various video formats
- FFmpeg-powered processing pipeline
🖥️ User-Friendly Web Interface
- Intuitive drag-and-drop video upload
- Easy language selection interface
- Real-time processing status updates
- Progress tracking with estimated completion time
- Quick preview and download options
Technical Implementation
Backend Architecture
- Python for core processing logic
- FFmpeg for video and audio manipulation
- Whisper AI for automatic speech recognition
- RESTful API design for frontend communication
- Async processing for handling large files
- Queue system for managing multiple requests
Frontend Interface
- React.js for responsive web application
- Node.js backend for file handling
- Modern, intuitive UI/UX design
- Real-time progress indicators
- Responsive design for all devices
- Secure HTTPS communication
AI/ML Pipeline
- Whisper by OpenAI for transcription
- State-of-the-art translation models
- Advanced TTS engines for natural speech
- Audio processing and enhancement
- Quality optimization algorithms
Video Processing Workflow
- Upload & Validation: Accept video files and validate formats
- Audio Extraction: Extract audio track using FFmpeg
- Transcription: Convert speech to text using ASR
- Translation: Translate transcript to target language
- Synthesis: Generate new audio using TTS
- Merging: Combine dubbed audio with original video
- Delivery: Serve processed video for download
Use Cases
Content Creators
- Expand YouTube reach to international audiences
- Create multilingual versions of educational content
- Increase viewer engagement across regions
- Monetize content in multiple markets
Businesses
- Localize marketing and promotional videos
- Create training materials in multiple languages
- Enhance global communication strategies
- Reduce costs compared to traditional dubbing
Educators
- Make educational content accessible worldwide
- Support language learning initiatives
- Create inclusive learning environments
- Reach diverse student populations
Technical Highlights
- Scalable Architecture: Handle multiple concurrent dubbing requests
- High Quality Output: Maintain video and audio quality throughout processing
- Fast Processing: Optimized pipeline for quick turnaround times
- Secure & Private: HTTPS encryption and secure file handling
- Format Support: Compatible with major video formats (MP4, AVI, MOV, etc.)
- Cost-Effective: Automated solution reducing manual dubbing costs
Performance Metrics
- Average processing time: 2-5 minutes per minute of video
- Support for videos up to 2GB in size
- 95%+ transcription accuracy
- Natural-sounding TTS output quality
- Minimal quality loss in final video
Future Enhancements
- Real-time dubbing for live streams
- Lip-sync technology for better visual matching
- Voice cloning to preserve original speaker's voice
- Batch processing for multiple videos
- API access for third-party integrations
- Mobile app for on-the-go dubbing
- Advanced voice customization options
- Support for subtitle generation
Collaboration
AIDub was developed by a collaborative team of five talented developers:
- Harsh Pandey - Full Stack Development
- Yash Gupta - Backend & AI Integration
- Aditya Mondal - Frontend Development
- Debayan Ghosh - Video Processing Pipeline
- Soumyadeep Basak - ML Model Optimization
Impact
AIDub democratizes video content localization, making it accessible and affordable for creators of all sizes. By automating the complex dubbing process, it enables global content distribution without language barriers, helping creators reach billions of new viewers worldwide.
Getting Started
Visit aidub.vercel.app to start dubbing your videos today!
- Upload your video
- Select target language
- Initiate dubbing process
- Download your dubbed video
Open Source: AIDub is open-source and available on GitHub. Contributions are welcome!