OpenWhispr and Typist are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. OpenWhispr: Open-source, privacy-first voice-to-text desktop app for Mac, Windows, and Linux that also transcribes meetings into AI-organized notes. 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 OpenWhispr when privately transcribing computer-audio meetings without a bot joining the call 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.
Open-source, privacy-first voice-to-text desktop app for Mac, Windows, and Linux that also transcribes meetings into AI-organized notes.
AI Notepad that turns rough meeting notes plus transcript into structured minutesBring-your-own-key cloud model option for flexibilityCross-platform desktop app for macOS, Windows, and Linux
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
OpenWhispr 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.
Open-source and auditable, with code published on GitHub
Audio and video to text transcription across many file formats
Standout feature
Cross-platform desktop app for macOS, Windows, and Linux
Export to SRT subtitles, WebVTT captions, DOCX, PDF, and TXT
Team usage
Local transcription via bundled Whisper and NVIDIA Parakeet models
Multiple transcription models trading off speed and accuracy
Integrations
Bring-your-own-key cloud model option for flexibility
Speaker identification on the highest-accuracy tier
Languages & capture
AI Notepad that turns rough meeting notes plus transcript into structured minutes
Word-level and segment-level timestamps for clean subtitle timing
Best-fit workflow
Full-text search and AI Chat across captured meetings
Support for a wide range of languages and accents
Best for
OpenWhispr
Choose OpenWhispr if you need privately transcribing computer-audio meetings without a bot joining the call — strengths include fully open source, so users can inspect and self-host the code.
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
OpenWhispr
+ Fully open source, so users can inspect and self-host the code
+ Local model support enables private, offline transcription
- Primarily a dictation tool, so meeting features are secondary rather than the main focus
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 OpenWhispr or Typist better for AI meeting notes?
It depends on your workflow. OpenWhispr is strong for privately transcribing computer-audio meetings without a bot joining the call, while Typist is strong for transcribing recorded interviews and research or client calls. Both transcribe and summarize meetings.
How do OpenWhispr and Typist compare on price?
OpenWhispr 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 OpenWhispr and Typist?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.