johunsang

Local AI video translation, dubbing, subtitles, and blur editing with faster-whisper, Argos Translate, Supertonic, FFmpeg, and yt-dlp

10
8
100% credibility
Found May 22, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

kekedubing (케케더빙) is a free, open-source tool that lets you translate and dub videos entirely on your own computer. You can upload a video file or import one from YouTube and supported sites, then the app listens to the speech, translates it, generates a new voice that fits the timing, and creates subtitles. You can customize the voice style, subtitle appearance, and even blur parts of the video for privacy. Everything runs locally without needing cloud services or accounts.

How It Works

1
🎬 You find a video you want to share with the world

You discover a great video in another language and want to translate it for your friends or followers.

2
🚀 You start the app and it opens in your browser

The app runs locally on your computer as a simple web page, ready to help you translate and dub videos.

3
📁 You add your video

Drag and drop a video file from your computer, or paste a link from YouTube or any of 1,800+ supported video sites.

4
🎨 You choose how your dubbed video should look and sound

Pick the languages, select a voice (male or female), choose subtitle colors and positions, and optionally draw a blur box to hide sensitive areas.

5
You click 'Create Dubbed Video' and watch the magic happen

The app listens to the speech, translates the words, generates a new voice that matches the timing, and burns the subtitles into your video.

🎉 You download your finished dubbed video

Your video is ready with translated speech, matching subtitles, and your chosen style. Share it with the world!

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Star Growth

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AI-Generated Review

What is kekedubing?

Kekedubing is a local-first web app for translating, dubbing, and captioning videos without touching the cloud. Drop in a local file or paste a YouTube URL, pick your source and target languages, choose a synthetic voice, and export a dubbed MP4 with burned-in subtitles. It also lets you draw rectangular blur boxes on the video for privacy editing. The backend runs Python with FastAPI, speech-to-text uses faster-whisper, translation uses Argos Translate local models, and video rendering uses FFmpeg. A Live Interpreter tab handles streaming URL dubbing in real-time.

Why is it gaining traction?

The pitch is simple: your videos never leave your machine. For creators tired of uploading content to cloud services, this is a privacy win. The Live Interpreter mode is the standout feature -- it groups Whisper segments into 3-7 second chunks, translates and synthesizes each one, then pads or trims the audio to fit the original timing. The result plays in sync with the muted video. It supports 1,800+ video sites via yt-dlp and offers 35 subtitle style presets, which covers most creator workflows without leaving the app.

Who should use this?

Content creators localizing videos for international audiences will get the most value. Privacy-conscious users who want to dub or subtitle without cloud dependencies should consider it. Developers building automated video pipelines can extend it since everything runs locally. It is not a polished SaaS product -- expect to run Docker commands and tune environment variables.

Verdict

At 10 stars, this is an early-stage project with minimal community validation. The 1.0% credibility score reflects that reality. Setup is straightforward with Docker, but long videos are CPU-intensive and first runs download models on demand. Worth trying if you need local video dubbing, but treat it as experimental rather than production-ready.

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