Minutes and Speakr 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. Speakr: Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
How Hosiqo compares and tests toolsFinal recommendation
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 Speakr when privacy-conscious teams self-hosting transcription and summaries for internal meetings 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.
Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search.
Minutes is a free tier with paid upgrades (freemium); Speakr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Minutes | Speakr |
|---|---|---|
| Core capability | Local transcription with whisper.cpp or Parakeet, no cloud audio upload | Self-hosted transcription with automatic language detection |
| Standout feature | Speaker diarization to attribute who said what | Optional AI-powered speaker diarization |
| Team usage | Plain-markdown output with YAML frontmatter stored on your own disk | Customizable summaries plus an action-items view for decisions and tasks |
| Integrations | MCP server exposing tools so AI agents can query meeting history | Per-recording chat and an Inquire Mode for semantic search across the whole library |
| Languages & capture | Cross-meeting search, relationship tracking, and action-item extraction | System and browser-tab audio capture |
| Best-fit workflow | macOS desktop app plus cross-platform CLI and dictation hotkey mode | Multi-user support with SSO, group workspaces, and admin dashboard |
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.
Speakr
Choose Speakr if you need privacy-conscious teams self-hosting transcription and summaries for internal meetings — strengths include runs entirely on the user's own infrastructure for full data control.
Minutes
Speakr
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 Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings. Both transcribe and summarize meetings.
Minutes is a free tier with paid upgrades and Speakr is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.