Professional Video Subtitle Processing
LLM-Powered intelligent subtitle generation. Process a 14-minute video in just 4 minutes, costing less than $0.002. Supports 99 languages recognition and 37 languages translation.
Powered by cutting-edge AI technology, VideoCaptioner delivers professional-grade subtitle processing with minimal effort and cost.
Process a 14-minute video in just 4 minutes with Whisper + LLM integration. Each video costs less than $0.002 — incredibly efficient and affordable.
Semantic segmentation, automatic error correction, terminology unification, and expression optimization. Your subtitles are polished and professional.
Recognize 99 languages and translate to 37 languages with a reflection translation mechanism for higher accuracy and natural expression.
All video processing happens on your local machine. Your data stays private — nothing is sent to third parties without your knowledge.
CPU-based Whisper with optional GPU acceleration. Supports both cloud API and offline local models — works on any modern computer.
Simply drag and drop multiple videos. Automated queue processing handles everything while you focus on other tasks.
Built-in templates for beautiful subtitles. Supports hard/soft subtitles and multiple formats including SRT, ASS, and VTT.
VAD voice activity detection, vocal separation, word-level timestamps, and manuscript matching for precise subtitle alignment.
Native installers for Windows, macOS, and Linux. Built with PyQt5 for a smooth, responsive desktop experience.
From raw video to professional subtitles in minutes.
Drag and drop your video files or use the file browser. Supports all major video formats including MP4, MKV, AVI, and more.
Whisper transcribes speech to text, then LLM optimizes segmentation, corrects errors, and translates — all automatically.
Download your subtitled video or export subtitle files in SRT, ASS, or VTT format. Customize styles before final export.
Combining the world's leading speech recognition and language models.
Whisper API, FasterWhisper, WhisperCpp — choose the engine that fits your needs. Supports 99 languages with VAD and vocal separation.
LLM-powered semantic segmentation, terminology optimization, error correction, and manuscript matching for perfect subtitles.
Multiple translation backends — LLM translation, Google Translate, Bing Translate, and DeepLX. 37 target languages supported.
FFmpeg-powered video processing with multiple output formats. Batch processing with automated queue management.
Find answers to common questions about VideoCaptioner.
VideoCaptioner offers a Free plan with essential subtitle features and a Pro plan with advanced AI capabilities. The Free plan is free forever. The Pro plan starts at $9.99/month and includes LLM-powered optimization, batch processing, and more. API costs for cloud services are minimal — less than $0.002 per 14-minute video.
No. VideoCaptioner supports CPU-based Whisper processing and cloud API options. You can use it on any modern computer. GPU acceleration is optional and supported for faster local processing.
VideoCaptioner can recognize speech in 99 languages and translate subtitles to 37 languages. The reflection translation mechanism ensures high accuracy and natural expression.
Absolutely! The batch processing feature allows you to drag and drop multiple videos. They will be processed automatically in a queue while you focus on other tasks.
VideoCaptioner supports SRT, ASS, and VTT subtitle formats. You can also burn subtitles directly into the video (hard subtitles) or keep them as separate files (soft subtitles).
Yes, all video processing happens on your local machine. If you use cloud APIs for speech recognition or translation, only the audio/text data is sent to the respective service providers.
Join thousands of content creators who trust VideoCaptioner. Powerful, fast, and professional.