Minutes and WhisperLiveKit 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. WhisperLiveKit: Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription. 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 WhisperLiveKit when self-hosted real-time meeting transcription with speaker labels 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.
Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription.
Minutes is a free tier with paid upgrades (freemium); WhisperLiveKit is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Minutes | WhisperLiveKit |
|---|---|---|
| Core capability | Local transcription with whisper.cpp or Parakeet, no cloud audio upload | Real-time streaming speech-to-text with low latency over WebSocket |
| Standout feature | Speaker diarization to attribute who said what | Real-time speaker diarization to distinguish multiple speakers |
| Team usage | Plain-markdown output with YAML frontmatter stored on your own disk | FastAPI backend with OpenAI-compatible REST API and Deepgram-compatible WebSocket protocol |
| Integrations | MCP server exposing tools so AI agents can query meeting history | Multiple ASR backends (Whisper variants, Voxtral, Qwen3-ASR) and 200+ language support with translation |
| Languages & capture | Cross-meeting search, relationship tracking, and action-item extraction | Included customizable HTML/JavaScript web interface and Docker images (GPU and CPU) |
| Best-fit workflow | macOS desktop app plus cross-platform CLI and dictation hotkey mode | Voice activity detection and multi-user support on a single backend |
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.
WhisperLiveKit
Choose WhisperLiveKit if you need self-hosted real-time meeting transcription with speaker labels — strengths include fully open source (apache 2.0) and self-hostable for private, on-premise transcription.
Minutes
WhisperLiveKit
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 WhisperLiveKit is strong for self-hosted real-time meeting transcription with speaker labels. Both transcribe and summarize meetings.
Minutes is a free tier with paid upgrades and WhisperLiveKit 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.