# KrillinAI — AI Video Translation and Dubbing in 100 Languages

> An open-source tool that uses LLMs to translate and dub video content into over 100 languages with one-click deployment, optimized for YouTube, TikTok, and other platforms.

## Install

Save in your project root:

# KrillinAI — AI Video Translation and Dubbing in 100 Languages

## Quick Use
```bash
docker run -d -p 8888:8888 \
  -e OPENAI_API_KEY=your-key \
  krillinai/krillinai:latest
# Open http://localhost:8888 and paste a video URL
```

## Introduction
KrillinAI is an open-source video translation and dubbing platform that leverages LLMs to produce natural-sounding translations for video content. It handles the entire pipeline from speech recognition through translation to voice synthesis, outputting platform-ready videos with synchronized subtitles and dubbed audio.

## What KrillinAI Does
- Extracts and transcribes audio from video files or URLs
- Translates transcripts into 100+ target languages using LLMs
- Generates dubbed audio with TTS matching the original timing
- Burns translated subtitles into the output video
- Exports in formats optimized for YouTube, TikTok, and Bilibili

## Architecture Overview
KrillinAI orchestrates a multi-stage pipeline: FFmpeg extracts audio, a speech recognition model (Whisper or alternatives) produces timestamped transcripts, an LLM translates segments while preserving timing constraints, and a TTS engine synthesizes the dubbed audio. A Go backend coordinates these stages and serves a web UI for job management. Results are composited back into the video with synchronized subtitles.

## Self-Hosting & Configuration
- Deploy via Docker with a single command
- Requires an LLM API key (OpenAI, or compatible providers)
- Configure TTS provider (built-in or external like ElevenLabs)
- Set source and target languages per job
- GPU recommended for faster Whisper transcription but not required

## Key Features
- End-to-end pipeline from raw video to translated output
- Supports 100+ language pairs for translation
- Platform-aware output formats (vertical for TikTok, widescreen for YouTube)
- Web UI for managing translation jobs and reviewing results
- Batch processing for translating multiple videos

## Comparison with Similar Tools
- **Rask.ai** — cloud SaaS with subscription; KrillinAI is self-hosted and open source
- **HeyGen** — avatar-focused video translation; KrillinAI preserves original video
- **Kapwing** — general video editor with limited translation; KrillinAI is purpose-built
- **Whisper + manual workflow** — requires manual orchestration; KrillinAI automates the full pipeline
- **VideoCaptioner** — subtitle-focused; KrillinAI adds full audio dubbing

## FAQ
**Q: Does it support local LLMs?**
A: Yes. Any OpenAI-compatible API endpoint works, including Ollama and vLLM.

**Q: How accurate is the translation?**
A: Quality depends on the LLM used. GPT-4 class models produce near-professional results for major languages.

**Q: Can it handle long videos?**
A: Yes. It processes videos in segments and stitches the output together, handling videos of any length.

**Q: Does it clone the original speaker voice?**
A: By default it uses standard TTS voices. Voice cloning can be configured with compatible TTS providers.

## Sources
- https://github.com/krillinai/KrillinAI


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Source: https://tokrepo.com/en/workflows/asset-e0ea662e
Author: AI Open Source