Desktop, web and CLI tool that transcribes, translates, dubs and re-muxes a video into another language.
Speech recognition, subtitle translation, AI voices and video merge in one free desktop app.
pyVideoTrans runs the whole chain of recognising speech, translating subtitles, synthesising a dub and merging it back into the video. It suits creators and localisers who want to pick their own models and keep the files on their machine.
You feed it a video and it runs speech recognition, subtitle translation, text-to-speech and video synthesis, with a pause at each stage so you can proofread. It can also work as separate tools for audio-to-SRT, subtitle translation and text-to-speech, and it offers speaker diarization plus voice cloning through models such as F5-TTS, CosyVoice and GPT-SoVITS.
It suits YouTubers, course makers and subtitle teams who want to mix local models with online APIs and edit each stage by hand. It is a poor fit if you want a polished hosted service with support, or if you cannot check the licences of the third-party models you plug in.
Chains recognition, subtitle translation, speech synthesis and video merge into one run.
You can stop and hand-edit the transcript, translation and dub before continuing.
Speaker diarization lets you give each speaker a different AI voice.
Plugs into F5-TTS, CosyVoice and GPT-SoVITS for zero-shot voice cloning.
Use the desktop app, a browser interface on port 7860, or a headless command line.
Includes vocal separation, subtitle merging and audio-video alignment helpers.
Free under GPL-3.0; the project site states there is no subscription, sign-up or licence code. Your only costs are hardware and any paid translation or voice APIs you connect, which are billed by those vendors.
870 open remote AI-training roles, updated November 14, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.
These reviewed AI tools do the same job instantly — from our scored directory.
The code is GPL-3.0 and the project site says there are no fees or sign-up. The README adds that integrated local models and online APIs carry their own terms, so check those before commercial use.
The site says it runs with or without an NVIDIA card. A card with CUDA speeds up local recognition, and the README names CUDA 12.8 and cuDNN 9.11 for that.
Yes. The README documents a CLI for headless runs and a Gradio-based WebUI, with a Docker image exposing port 7860.
See Zekai first in Google