Beta commercial application for automated video and audio localization.
AI Dubbing Studio converts source media into a dubbed version in another language while preserving the original speaker identity and timing as closely as possible. The workflow covers transcription, translation, voice generation, and final media rendering in a single process.
- Input: audio or video files
- Process: transcription, translation, voice synthesis, and media reassembly
- Output: dubbed audio, translated transcript, and final video when applicable
- Use case: localization for content teams, media publishers, and multilingual distribution
Upload source media
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Extract audio (video only)
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Transcribe with timestamps
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Translate by segment
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Generate translated voice in source voice profile
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Rebuild final audio/video
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Deliver downloadable outputs
- Speech-to-text transcription with timing data
- Segment-level translation for natural pacing
- Voice cloning to preserve the original speaker's sound
- Video reassembly with the dubbed audio track
- Downloadable transcript and final output files
Browser / Client
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API layer (FastAPI)
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+--> Storage (R2)
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+--> Processing pipeline
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+--> WhisperX for transcription
+--> Groq for translation
+--> Zonos-2 for voice generation
+--> FFmpeg for media handling
Final outputs are returned to the application and made available for download.
- WhisperX: transcription and alignment
- Groq: translation
- Zonos-2: voice cloning and speech generation
- FFmpeg: audio and video processing
- FastAPI: backend orchestration
- Cloud storage + worker pipeline: job handling and delivery
This project is a beta commercial application. It is intended for controlled production evaluation, deployment, and operational use, with outputs suitable for teams that require a practical dubbing workflow without a manual editing pipeline.
- Dubbed audio file
- Translated transcript
- Final dubbed video (when the source is video)
- Download links provided through the application workflow
This repository is structured for a managed product workflow rather than as a local-run developer guide. The platform is intended to support repeatable, production-oriented localization work in a controlled deployment environment.