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VideoCaptioner

videocaptioner.cn

Free plan WindowsmacOSLinuxSelf-hosted
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Spec score 8.5 #25 of 99 in AI Video Caption Generators

What it is

VideoCaptioner processes video subtitles through speech transcription, segmentation, correction, translation, and video synthesis. It supports SRT, ASS, and VTT subtitle files, and can produce captions burned into the picture or subtitles embedded as a separate track. The homepage lists recognition for 99 languages and translation into 37. Recognition choices include FasterWhisper, WhisperCpp, and Whisper API; translation options include LLM translation, Bing Translate, Google Translate, and DeepLX. Listed LLM integrations include OpenAI, DeepSeek, SiliconCloud, Gemini, Ollama, LM Studio, and ChatGLM. Users can supply video files or YouTube and Bilibili links, and a batch workflow queues multiple videos. Processing can be local or cloud-based; local use can run on a CPU, with optional GPU acceleration. The homepage says user data stays local when processing locally. Platforms listed are Linux, macOS, Windows, and self-hosted. VideoCaptioner is free and open source under the MIT license. Docker deployment is marked experimental and basic; the guide specifies Windows 10/11 64-bit, macOS 10.15 or later, and Ubuntu 20.04+, Debian 11+, or Fedora 35+ for Linux.

Spec sheet

Purpose
VideoCaptioner processes video subtitles with speech transcription, semantic segmentation, correction, translation, and video synthesis.Read 11 Oct 2026 · videocaptioner.cn
Free plan
YesRead 22 Sep 2026 · videocaptioner.cn
Privacy
The homepage says user data stays local and describes local use as keeping privacy under the user's control.Read 11 Oct 2026 · videocaptioner.cn
Support
The homepage directs users with questions to submit GitHub issues, where the community can help.Read 11 Oct 2026 · videocaptioner.cn
Batch processing
The getting started guide describes a batch processing workflow for adding multiple video files to a queue.Read 11 Oct 2026 · videocaptioner.cn
Burn-in captions
YesRead 22 Sep 2026 · videocaptioner.cn
Caption styling
YesRead 22 Sep 2026 · videocaptioner.cn
Deployment limitation
The guide labels Docker deployment experimental and says that version is currently basic.Read 11 Oct 2026 · videocaptioner.cn
Languages
The homepage says it recognizes 99 languages and translates into 37 languages.Read 11 Oct 2026 · videocaptioner.cn
LLM integrations
The LLM guide lists OpenAI, DeepSeek, SiliconCloud, Gemini, Ollama, LM Studio, and ChatGLM.Read 11 Oct 2026 · videocaptioner.cn
Local processing
The homepage says the application can run locally on CPU, with optional GPU acceleration, and offers cloud or local processing.Read 11 Oct 2026 · videocaptioner.cn
Recognition engines
The getting started guide lists FasterWhisper, WhisperCpp, and Whisper API among its speech recognition options.Read 11 Oct 2026 · videocaptioner.cn
Subtitle export
other formatsRead 22 Sep 2026 · videocaptioner.cn
Subtitle formats
It supports SRT, ASS, and VTT subtitle formats.Read 11 Oct 2026 · videocaptioner.cn
Subtitle output
The guide says users can create hard subtitles burned into video or soft subtitles embedded as a track.Read 11 Oct 2026 · videocaptioner.cn
System requirements
The guide specifies Windows 10/11 64-bit, macOS 10.15 or later, and Ubuntu 20.04+, Debian 11+, or Fedora 35+ for Linux.Read 11 Oct 2026 · videocaptioner.cn
Translation integrations
The guide lists LLM translation, Bing Translate, Google Translate, and DeepLX as translation options.Read 11 Oct 2026 · videocaptioner.cn
Video input
The guide says users can provide video files or links from YouTube and Bilibili.Read 11 Oct 2026 · videocaptioner.cn

Plans and prices

VideoCaptioner Free Free and open source · MIT license Read 11 Oct 2026 · videocaptioner.cn

Every VideoCaptioner plan and price →

Strong points and limits

Strong points

  • Supports SRT, ASS, and VTT.
  • Lists recognition in 99 languages.
  • Offers local processing with optional GPU acceleration.
  • Can queue multiple videos.
  • Free and open source under MIT.

Limits

  • Docker deployment is experimental and basic.
  • Linux requirements specify Ubuntu, Debian, or Fedora versions.

Who it suits

VideoCaptioner may suit people who need to transcribe, translate, correct, or embed subtitles in videos. Local processing may appeal to users who want their data to stay on their own device.

Verdict

VideoCaptioner combines subtitle processing with translation and hard- or soft-subtitle output. Its Docker option is explicitly limited, and users should check the listed operating-system requirements.

Where Specifiction places it

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