Minutes and Typist are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Minutes: Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents. 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, so the right pick depends on team size, budget, and which meeting workflows you automate.
For ai-meeting-assistants workflows, shortlist Minutes when building a private, searchable memory of meetings and voice notes that ai agents can query 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, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents.
Cross-meeting search, relationship tracking, and action-item extractionLocal transcription with whisper.cpp or Parakeet, no cloud audio uploadmacOS desktop app plus cross-platform CLI and dictation hotkey mode
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
Minutes 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.
Local transcription with whisper.cpp or Parakeet, no cloud audio upload
Audio and video to text transcription across many file formats
Standout feature
Speaker diarization to attribute who said what
Export to SRT subtitles, WebVTT captions, DOCX, PDF, and TXT
Team usage
Plain-markdown output with YAML frontmatter stored on your own disk
Multiple transcription models trading off speed and accuracy
Integrations
MCP server exposing tools so AI agents can query meeting history
Speaker identification on the highest-accuracy tier
Languages & capture
Cross-meeting search, relationship tracking, and action-item extraction
Word-level and segment-level timestamps for clean subtitle timing
Best-fit workflow
macOS desktop app plus cross-platform CLI and dictation hotkey mode
Support for a wide range of languages and accents
Best for
Minutes
Choose Minutes if you need building a private, searchable memory of meetings and voice notes that ai agents can query — strengths include fully local-first and mit licensed, keeping conversation data private and portable.
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
Minutes
+ Fully local-first and MIT licensed, keeping conversation data private and portable
+ Markdown-on-disk format syncs through existing cloud-drive tools and avoids lock-in
- Desktop app is macOS-only; Windows and Linux are limited to the CLI
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 Minutes or Typist better for AI meeting notes?
It depends on your workflow. Minutes is strong for building a private, searchable memory of meetings and voice notes that ai agents can query, while Typist is strong for transcribing recorded interviews and research or client calls. Both transcribe and summarize meetings.
How do Minutes and Typist compare on price?
Minutes 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 Minutes and Typist?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.