SRTGen vs VideoCaptioner

SRTGen is a web and API platform for creating and localizing subtitles for video and audio. It transcribes uploads into editable, time-coded text, then lets users review captions, translate them, style them or burn them into video. Subtitle exports include SRT, VTT, ASS and TXT; JSON is available through agent localization. The service supports 100 caption languages and a workflow combining transcription, translation, voice dubbing, review and export. Its stated content range includes social videos, podcasts, courses, marketing videos and news. The free plan includes 20 signup credits, 20 transcription minutes and 40 translation minutes, with recording capped at five minutes and 720p. Paid plans start at $4 per month for the first two months, then $8 per month. Monthly or yearly billing and non-expiring top-ups are offered. SRTGen also supports MCP-compatible agents, collaborative workspaces and a REST developer API on higher plans.

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.