KrillinAI

Video translation and dubbing tool powered by LLMs. The video translator offers 100 language translations and one-click full-process deployment. The video translation output is optimized for platforms like YouTube，TikTok. AI视频翻译配音工具，100种语言双向翻译，一键部署全流程，可以生抖音，小红书，哔哩哔哩，视频号，TikTok，Youtube等形态的内容成适配

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Install / Use

/learn @krillinai/KrillinAI

About this skill

Quality Score

0/100

README

Minimalist AI Video Translation and Dubbing Tool

English｜简体中文｜日本語｜한국어｜Tiếng Việt｜Français｜Deutsch｜Español｜Português｜Русский｜اللغة العربية

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Project Introduction (Try the online version now!)

Quick Start

KrillinAI is a versatile audio and video localization and enhancement solution developed by Krillin AI. This minimalist yet powerful tool integrates video translation, dubbing, and voice cloning, supporting both landscape and portrait formats to ensure perfect presentation on all major platforms (Bilibili, Xiaohongshu, Douyin, WeChat Video, Kuaishou, YouTube, TikTok, etc.). With an end-to-end workflow, you can transform raw materials into beautifully ready-to-use cross-platform content with just a few clicks.

Key Features and Functions:

🎯 One-click Start: No complex environment configuration required, automatic dependency installation, ready to use immediately, with a new desktop version for easier access!

📥 Video Acquisition: Supports yt-dlp downloads or local file uploads

📜 Accurate Recognition: High-accuracy speech recognition based on Whisper

🧠 Intelligent Segmentation: Subtitle segmentation and alignment using LLM

🔄 Terminology Replacement: One-click replacement of professional vocabulary

🌍 Professional Translation: LLM translation with context to maintain natural semantics

🎙️ Voice Cloning: Offers selected voice tones from CosyVoice or custom voice cloning

🎬 Video Composition: Automatically processes landscape and portrait videos and subtitle layout

💻 Cross-Platform: Supports Windows, Linux, macOS, providing both desktop and server versions

Effect Demonstration

The image below shows the effect of the subtitle file generated after importing a 46-minute local video and executing it with one click, without any manual adjustments. There are no omissions or overlaps, the segmentation is natural, and the translation quality is very high. Alignment Effect

Subtitle Translation

https://github.com/user-attachments/assets/bba1ac0a-fe6b-4947-b58d-ba99306d0339

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Dubbing

https://github.com/user-attachments/assets/0b32fad3-c3ad-4b6a-abf0-0865f0dd2385

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Portrait Mode

https://github.com/user-attachments/assets/c2c7b528-0ef8-4ba9-b8ac-f9f92f6d4e71

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🔍 Supported Speech Recognition Services

All local models in the table below support automatic installation of executable files + model files; you just need to choose, and Klic will prepare everything for you.

| Service Source | Supported Platforms | Model Options | Local/Cloud | Remarks | |------------------------|---------------------|------------------------------------------|-------------|-----------------------------| | OpenAI Whisper | All Platforms | - | Cloud | Fast speed and good effect | | FasterWhisper | Windows/Linux | tiny/medium/large-v2 (recommended medium+) | Local | Faster speed, no cloud service cost | | WhisperKit | macOS (M-series only) | large-v2 | Local | Native optimization for Apple chips | | WhisperCpp | All Platforms | large-v2 | Local | Supports all platforms | | Alibaba Cloud ASR | All Platforms | - | Cloud | Avoids network issues in mainland China |

🚀 Large Language Model Support

✅ Compatible with all cloud/local large language model services that comply with OpenAI API specifications, including but not limited to:

OpenAI
Gemini
DeepSeek
Tongyi Qianwen
Locally deployed open-source models
Other API services compatible with OpenAI format

🎤 TTS Text-to-Speech Support

Alibaba Cloud Voice Service
OpenAI TTS

Language Support

Input languages supported: Chinese, English, Japanese, German, Turkish, Korean, Russian, Malay (continuously increasing)

Translation languages supported: English, Chinese, Russian, Spanish, French, and 101 other languages

Interface Preview

🚀 Quick Start

You can ask questions on the Deepwiki of KrillinAI. It indexes the files in the repository, so you can find answers quickly.

Basic Steps

First, download the executable file that matches your device system from the Release, then follow the tutorial below to choose between the desktop version or non-desktop version. Place the software download in an empty folder, as running it will generate some directories, and keeping it in an empty folder will make management easier.

【If it is the desktop version, i.e., the release file with "desktop," see here】 The desktop version is newly released to address the issues of new users struggling to edit configuration files correctly, and there are some bugs that are continuously being updated.

Double-click the file to start using it (the desktop version also requires configuration within the software)

【If it is the non-desktop version, i.e., the release file without "desktop," see here】 The non-desktop version is the initial version, which has a more complex configuration but is stable in functionality and suitable for server deployment, as it provides a UI in a web format.

Create a config folder within the folder, then create a config.toml file in the config folder. Copy the contents of the config-example.toml file from the source code's config directory into config.toml, and fill in your configuration information according to the comments.
Double-click or execute the executable file in the terminal to start the service
Open your browser and enter http://127.0.0.1:8888 to start using it (replace 8888 with the port you specified in the configuration file)

To: macOS Users

【If it is the desktop version, i.e., the release file with "desktop," see here】 Due to signing issues, the desktop version currently cannot be double-clicked to run or installed via dmg; you need to manually trust the application. The method is as follows:

Open the terminal in the directory where the executable file (assuming the file name is KrillinAI_1.0.0_desktop_macOS_arm64) is located
Execute the following commands in order:

sudo xattr -cr ./KrillinAI_1.0.0_desktop_macOS_arm64
sudo chmod +x ./KrillinAI_1.0.0_desktop_macOS_arm64 
./KrillinAI_1.0.0_desktop_macOS_arm64

【If it is the non-desktop version, i.e., the release file without "desktop," see here】 This software is not signed, so when running on macOS, after completing the file configuration in the "Basic Steps," you also need to manually trust the application. The method is as follows:

Open the terminal in the directory where the executable file (assuming the file name is KrillinAI_1.0.0_macOS_arm64) is located

Execute the following commands in order:

sudo xattr -rd com.apple.quarantine ./KrillinAI_1.0.0_macOS_arm64
 sudo chmod +x ./KrillinAI_1.0.0_macOS_arm64
 ./KrillinAI_1.0.0_macOS_arm64

This will start the service

Docker Deployment

This project supports Docker deployment; please refer to the Docker Deployment Instructions

Based on the provided configuration file, here is the updated "Configuration Help (Must Read)" section for your README file:

Configuration Help (Must Read)

The configuration file is divided into several sections: [app], [server], [llm], [transcribe], and [tts]. A task is composed of speech recognition (transcribe) + large model translation (llm) + optional voice services (tts). Understanding this will help you better grasp the configuration file.

Easiest and Quickest Configuration:

For Subtitle Translation Only:

In the [transcribe] section, set provider.name to openai.
You will then only need to fill in your OpenAI API key in the [llm] block to start performing subtitle translations. The app.proxy, model, and openai.base_url can be filled in as needed.

Balanced Cost, Speed, and Quality (Using Local Speech Recognition):