VideoCaptioner

WeiFeng · WEIFENG2333.VideoCaptioner

A powered tool for easy and efficient video subtitling.

Kaka Subtitle Assistant (VideoCaptioner) is easy to operate and doesn't require high-end hardware. It supports both online API calls and local offline processing (with GPU support) for speech recognition. It leverages Large Language Models (LLMs) for intelligent subtitle segmentation, correction, and translation. It offers a one-click solution for the entire video subtitle workflow! Add stunning subtitles to your videos. The latest version now supports VAD, vocal separation, word-level timestamps, batch subtitle processing, and other practical features. - 🎯 No GPU required to use powerful speech recognition engines for accurate subtitle generation. - ✂️ LLM-based intelligent segmentation and sentence breaking for more natural subtitle reading. - 🔄 AI subtitle multi-threading optimization and translation, adjusting subtitle format and making expressions more idiomatic and professional. - 🎬 Supports batch video subtitle synthesis, improving processing efficiency. - 📝 Intuitive subtitle editing and viewing interface, supporting real-time preview and quick editing. - 🤖 Low model token consumption, and built-in basic LLM model to ensure out-of-the-box use.

winget install --id WEIFENG2333.VideoCaptioner --exact --source winget

Latest 1.3.3

Release Notes

Installer type: inno

Architecture Scope Download SHA256
x64 Download 7AEE706E8E99921D879D4B088C94E025E7F13868B06DE09AD7D69870102AC8F1

Details

Homepage
https://github.com/WEIFENG2333/VideoCaptioner
License
GPL-3.0
Publisher
WeiFeng
Support
https://github.com/WEIFENG2333/VideoCaptioner/issues
Copyright
© Copyright 2025, Weifeng.

Tags

captionrecognitionspeech-recognitionsubtitlevideo

Older versions (1)

1.3.2
Architecture Scope Download SHA256
x64 Download BE5B5327241F5A5E04481CCC5CCC14C515EC702C0911664F9466C59EA813C304