Local AI desktop workstation for automated video dubbing, voice cloning, and lip synchronization.
Translate, clone voices, and sync video lip movements entirely on your local workstation.
Reflow Studio is a desktop application designed for end-to-end video dubbing, voice cloning, and lip synchronization. It combines tools like XTTS v2, RVC, Wav2Lip, and GFPGAN into a unified graphical interface for video creators. You can batch-process translations locally without relying on external cloud APIs.
Reflow Studio orchestrates multiple AI models into a local video production pipeline. It translates audio, clones voices using RVC, realigns lip movements with Wav2Lip, and sharpens face details via GFPGAN. It also includes UVR5 stem separation to isolate background audio and built-in controls to clear render caches.
This workstation suits video editors, content creators, and localizers who need to translate video content while preserving background audio. It requires a workstation with a dedicated NVIDIA GPU for reasonable processing times. It is not intended for users who want cloud-based rendering or lightweight web apps.
Runs from a portable directory with embedded Python and FFmpeg binaries to avoid system configuration issues.
Pairs XTTS v2 text-to-speech with Retrieval-based Voice Conversion to mirror original speaker voices.
Re-aligns target mouth movements to match newly generated dubbed audio using Wav2Lip and GFPGAN.
Uses UVR5 stem separation to isolate background tracks so original music remains behind dubbed speech.
Provides a hard process kill button and cache wiper to unfreeze stuck render tasks and clear disk space.
Reflow Studio is open-source and free to download under the MIT license. Running costs depend entirely on your local hardware resources, electricity, and initial setup requirements.
767 open remote AI-training roles, updated November 14, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.
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An internet connection is required on the first launch to download AI model weights. Subsequent processing runs entirely offline.
An NVIDIA GPU supporting CUDA 11.8+ is strongly recommended, although CPU safe mode is available for fallback execution.
It uses UVR5 stem separation to strip vocal tracks from background music before generating and overlaying the dubbed voice.
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