Meeting Transcriber and Speakr are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Meeting Transcriber: Open-source, local-first macOS app that auto-records Teams, Zoom, and Webex calls and transcribes, diarizes, and summarizes them entirely on-device. 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 Meeting Transcriber when privacy-conscious professionals who want meeting transcripts and notes kept on their own mac 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 macOS app that auto-records Teams, Zoom, and Webex calls and transcribes, diarizes, and summarizes them entirely on-device.
Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search.
Meeting Transcriber 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 | Meeting Transcriber | Speakr |
|---|---|---|
| Core capability | Automatic recording of Teams, Zoom, and Webex meetings via a macOS menu bar app | Self-hosted transcription with automatic language detection |
| Standout feature | On-device transcription with selectable engines: WhisperKit, Parakeet TDT v3, or Qwen3-ASR | Optional AI-powered speaker diarization |
| Team usage | Dual-track diarization with separate app and microphone tracks for clean speaker separation | Customizable summaries plus an action-items view for decisions and tasks |
| Integrations | Recurring-speaker recognition using stored voice embeddings matched by cosine similarity | Per-recording chat and an Inquire Mode for semantic search across the whole library |
| Languages & capture | Structured Markdown protocols (summary, participants, topics, decisions, tasks, open questions, transcript) | System and browser-tab audio capture |
| Best-fit workflow | Pluggable summarization backends: Claude Code CLI, OpenAI-compatible APIs (Ollama, LM Studio), or transcript-only | Multi-user support with SSO, group workspaces, and admin dashboard |
Meeting Transcriber
Choose Meeting Transcriber if you need privacy-conscious professionals who want meeting transcripts and notes kept on their own mac — strengths include fully open source under the mit license with development in the open on github.
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.
Meeting Transcriber
Speakr
It depends on your workflow. Meeting Transcriber is strong for privacy-conscious professionals who want meeting transcripts and notes kept on their own mac, while Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings. Both transcribe and summarize meetings.
Meeting Transcriber 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.