AI Audio&Video Translation and Dubbing Tool

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📢 New Release for Win & Mac Desktop Version – Welcome to Test and Provide Feedback

Overview

Krillin AI is an all-in-one solution for effortless video localization and enhancement. This minimalist yet powerful tool handles everything from translation, dubbing to voice cloning，formatting—seamlessly converting videos between landscape and portrait modes for optimal display across all content platforms(YouTube, TikTok, Bilibili, Douyin, WeChat Channel, RedNote, Kuaishou). With its end-to-end workflow, Krillin AI transforms raw footage into polished, platform-ready content in just a few clicks.

Key Features:

🎯 One-Click Start - Launch your workflow instantly,New desktop version available—easier to use!

📥 Video download - yt-dlp and local file uploading supported

📜 Precise Subtitles - Whisper-powered high-accuracy recognition

🧠 Smart Segmentation - LLM-based subtitle chunking & alignment

🌍 Professional Translation - Paragraph-level translation for consistency

🔄 Term Replacement - One-click domain-specific vocabulary swap

🎙️ Dubbing and Voice Cloning - CosyVoice selected or cloning voices

🎬 Video Composition - Auto-formatting for horizontal/vertical layouts

Showcase

The following picture demonstrates the effect after the subtitle file, which was generated through a one-click operation after importing a 46-minute local video, was inserted into the track. There was no manual adjustment involved at all. There are no missing or overlapping subtitles, the sentence segmentation is natural, and the translation quality is also quite high.

🔍 Speech Recognition Support

All local models in the table below support automatic installation of executable files + model files. Just make your selection, and KrillinAI will handle everything else for you.

🚀 Large Language Model Support

✅ Compatible with all OpenAI API-compatible cloud/local LLM services including but not limited to:

• OpenAI
• DeepSeek
• Qwen (Tongyi Qianwen)
• Self-hosted open-source models
• Other OpenAI-format compatible API services

🌍 Language Support

Input languages: Chinese, English, Japanese, German, Turkish supported (more languages being added)
Translation languages: 56 languages supported, including English, Chinese, Russian, Spanish, French, etc.

Interface Preview

🚀 Quick Start

Basic Steps

First, download the Release executable file that matches your device's system. Follow the instructions below to choose between the desktop or non-desktop version, then place the software in an empty folder. Running the program will generate some directories, so keeping it in an empty folder makes management easier.

[For the desktop version (release files with "desktop" in the name), refer here]
The desktop version is newly released to address the difficulty beginners face in editing configuration files correctly. It still has some bugs and is being continuously updated.

Double-click the file to start using it.

[For the non-desktop version (release files without "desktop" in the name), refer here]
The non-desktop version is the original release, with more complex configuration but stable functionality. It is also suitable for server deployment, as it provides a web-based UI.

Create a config folder in the directory, then create a config.toml file inside it. Copy the contents of the config-example.toml file from the source code's config directory into your config.toml and fill in your configuration details. (If you want to use OpenAI models but don’t know how to get a key, you can join the group for free trial access.)

Double-click the executable or run it in the terminal to start the service.

Open your browser and enter http://127.0.0.1:8888 to begin using it. (Replace 8888 with the port number you specified in the config file.)

To: macOS Users

[For the desktop version, i.e., release files with "desktop" in the name, refer here]
The current packaging method for the desktop version cannot support direct double-click execution or DMG installation due to signing issues. Manual trust configuration is required as follows:

1. Open the directory containing the executable file (assuming the filename is KrillinAI_1.0.0_desktop_macOS_arm64) in Terminal

2. Execute the following commands sequentially:

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  

[For the non-desktop version, i.e., release files without "desktop" in the name, refer here]
This software is not signed, so after completing the file configuration in the "Basic Steps," you will need to manually trust the application on macOS. Follow these steps:

1. Open the terminal and navigate to the directory where the executable file (assuming the file name is KrillinAI_1.0.0_macOS_arm64) is located.
2. Execute the following commands in sequence:

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.

Cookie Configuration Instructions

If you encounter video download failures, please refer to the Cookie Configuration Instructions to configure your cookie information.

Configuration Help

The quickest and most convenient configuration method:

• Select openai for both transcription_provider and llm_provider. In this way, you only need to fill in openai.apikey in the following three major configuration item categories, namely openai, local_model, and aliyun, and then you can conduct subtitle translation. (Fill in app.proxy, model and openai.base_url as per your own situation.)

The configuration method for using the local speech recognition model (macOS is not supported for the time being) (a choice that takes into account cost, speed, and quality):

• Fill in fasterwhisper for transcription_provider and openai for llm_provider. In this way, you only need to fill in openai.apikey and local_model.faster_whisper in the following three major configuration item categories, namely openai and local_model, and then you can conduct subtitle translation. The local model will be downloaded automatically. (The same applies to app.proxy and openai.base_url as mentioned above.)

The following usage situations require the configuration of Alibaba Cloud:

• If llm_provider is filled with aliyun, it indicates that the large model service of Alibaba Cloud will be used. Consequently, the configuration of the aliyun.bailian item needs to be set up.
• If transcription_provider is filled with aliyun, or if the "voice dubbing" function is enabled when starting a task, the voice service of Alibaba Cloud will be utilized. Therefore, the configuration of the aliyun.speech item needs to be filled in.
• If the "voice dubbing" function is enabled and local audio files are uploaded for voice timbre cloning at the same time, the OSS cloud storage service of Alibaba Cloud will also be used. Hence, the configuration of the aliyun.oss item needs to be filled in. Configuration Guide: Alibaba Cloud Configuration Instructions

Frequently Asked Questions

Please refer to Frequently Asked Questions

Contribution Guidelines

• Do not submit unnecessary files like .vscode, .idea, etc. Please make good use of .gitignore to filter them.
• Do not submit config.toml; instead, submit config-example.toml.

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