VideoCaptioner

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VideoCaptionerProfessional Video Subtitle Processing

Open Source · LLM-Powered · Process 14-minute video in 4 minutes, cost less than $0.002

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GitHub Repository
VideoCaptioner
⚡

Lightning Fast, Ultra Low Cost

Process 14-minute video in just 4 minutes, cost less than $0.002. Powered by Whisper + LLM stack for quality and speed.

🧠

LLM-Powered Intelligence

Beyond speech recognition. LLM semantic segmentation, auto error correction, terminology unification, expression optimization for professional results.

🌐

Multilingual Support

Recognize 99 languages, translate to 37 languages. Reflection translation mechanism ensures quality with precise timeline alignment.

📖

Fully Open Source & Free

MIT license, no hidden fees. Run locally for complete data privacy control. Community-driven continuous improvement.

💻

No High-End Hardware

Run Whisper on CPU, optional GPU acceleration. Choose between cloud API or local offline processing.

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Batch Processing

Drag and drop videos for automatic processing with batch queue support. From recognition to translation to synthesis, zero manual intervention.

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Professional Subtitle Styles

Built-in style templates. Support hard/soft subtitles with SRT/ASS/VTT multi-format output.

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Advanced Features

VAD voice detection, vocal separation, word-level timestamps, manuscript matching, custom prompts, and more.

🖥️

Cross-Platform Desktop App

Windows/macOS/Linux installers available. Modern PyQt5 interface with real-time preview and quick editing.

Interface Preview ​

Software Interface Preview

Quick Experience ​

bash
# Download and run the installer directly
# Or run from source
git clone https://github.com/WEIFENG2333/VideoCaptioner.git
cd VideoCaptioner
run.bat
bash
# Use automatic installation script
git clone https://github.com/WEIFENG2333/VideoCaptioner.git
cd VideoCaptioner
chmod +x run.sh
./run.sh

Why Choose VideoCaptioner? ​

  • 🎯 Efficient Processing: Full processing of a 14-minute video takes only about 4 minutes, costing less than ¥0.01
  • 🌟 Quality Assurance: Uses advanced Whisper models and large language models to ensure subtitle quality
  • 💡 Intelligent Optimization: Automatically corrects typos, unifies terminology, optimizes expressions
  • 🚀 Easy to Use: Drag and drop videos for fully automatic processing, no complex configuration needed

Core Features ​

Speech Recognition & Transcription ​

  • Supports Whisper API, FasterWhisper, WhisperCpp, and other engines
  • Supports 99 language recognition
  • Supports VAD (Voice Activity Detection)
  • Supports vocal separation

Intelligent Subtitle Processing ​

  • LLM semantic segmentation for smoother reading
  • Automatically optimizes terminology, code snippets, mathematical formulas
  • Supports manuscript matching to improve accuracy
  • Precise subtitle timeline alignment

High-Quality Translation ​

  • Supports LLM translation, Google Translate, Bing Translate, DeepLX
  • Reflection translation mechanism improves translation quality
  • Maintains complete timeline consistency
  • Supports 37 target languages

Video Synthesis ​

  • Supports hard subtitles and soft subtitles
  • Rich subtitle style templates
  • Supports multiple subtitle formats (SRT, ASS, VTT, TXT)
  • Supports batch video processing

Get Started ​

Ready to begin? Check out the Getting Started Guide to learn how to use VideoCaptioner.

Released under the MIT License

Copyright © 2024-present WEIFENG