OpenTranscribe and Typist are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. OpenTranscribe: Self-hosted, containerized web app for transcribing and analyzing audio/video with WhisperX, speaker diarization, search, and collaboration. Typist: AI speech-to-text service that converts audio and video into text and exports captions, with tiered models for speed or accuracy. They overlap on ai-meeting-assistants, ai-transcription, so the right pick depends on team size, budget, and which meeting workflows you automate.
For ai-meeting-assistants, ai-transcription workflows, shortlist OpenTranscribe when teams self-hosting a searchable archive of transcribed meeting and media recordings matters most, and Typist when transcribing recorded interviews and research or client calls matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Self-hosted, containerized web app for transcribing and analyzing audio/video with WhisperX, speaker diarization, search, and collaboration.
AI summarization, topic extraction, and content analysis via multiple LLM providersAuto-import from local folders, S3, and SMB sharesAutomatic speaker diarization via PyAnnote v4 with overlap detection
AI speech-to-text service that converts audio and video into text and exports captions, with tiered models for speed or accuracy.
Audio and video to text transcription across many file formatsExport to SRT subtitles, WebVTT captions, DOCX, PDF, and TXTMultiple transcription models trading off speed and accuracy
OpenTranscribe is a free tier with paid upgrades (freemium); Typist is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
WhisperX transcription with large-v3-turbo and 100+ language support
Audio and video to text transcription across many file formats
Standout feature
Automatic speaker diarization via PyAnnote v4 with overlap detection
Export to SRT subtitles, WebVTT captions, DOCX, PDF, and TXT
Team usage
Full-text search and filtering powered by OpenSearch
Multiple transcription models trading off speed and accuracy
Integrations
AI summarization, topic extraction, and content analysis via multiple LLM providers
Speaker identification on the highest-accuracy tier
Languages & capture
Time-stamped comments for collaboration and annotation
Word-level and segment-level timestamps for clean subtitle timing
Best-fit workflow
Auto-import from local folders, S3, and SMB shares
Support for a wide range of languages and accents
Best for
OpenTranscribe
Choose OpenTranscribe if you need teams self-hosting a searchable archive of transcribed meeting and media recordings — strengths include fully self-hosted web app with a complete transcription-and-analysis stack.
Typist
Choose Typist if you need transcribing recorded interviews and research or client calls — strengths include clean subtitle exports (srt and webvtt) that import into video editors.
Pros & cons
OpenTranscribe
+ Fully self-hosted web app with a complete transcription-and-analysis stack
+ Strong speaker diarization and 100+ language coverage via WhisperX
- AGPL-3.0 license imposes copyleft obligations on modifications served to users
Typist
+ Clean subtitle exports (SRT and WebVTT) that import into video editors
+ Choice of models lets users prioritize speed or accuracy per job
- Speaker identification is limited to the top tier
FAQ
Is OpenTranscribe or Typist better for AI meeting notes?
It depends on your workflow. OpenTranscribe is strong for teams self-hosting a searchable archive of transcribed meeting and media recordings, while Typist is strong for transcribing recorded interviews and research or client calls. Both transcribe and summarize meetings.
How do OpenTranscribe and Typist compare on price?
OpenTranscribe is a free tier with paid upgrades and Typist is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Can I use both OpenTranscribe and Typist?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.