Meeting Transcriber and Typist 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. 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.
How Hosiqo compares and tests toolsFinal recommendation
For ai-meeting-assistants, ai-transcription workflows, shortlist Meeting Transcriber when privacy-conscious professionals who want meeting transcripts and notes kept on their own mac 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 macOS app that auto-records Teams, Zoom, and Webex calls and transcribes, diarizes, and summarizes them entirely on-device.
AI speech-to-text service that converts audio and video into text and exports captions, with tiered models for speed or accuracy.
Meeting Transcriber 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.
| Feature | Meeting Transcriber | Typist |
|---|---|---|
| Core capability | Automatic recording of Teams, Zoom, and Webex meetings via a macOS menu bar app | Audio and video to text transcription across many file formats |
| Standout feature | On-device transcription with selectable engines: WhisperKit, Parakeet TDT v3, or Qwen3-ASR | Export to SRT subtitles, WebVTT captions, DOCX, PDF, and TXT |
| Team usage | Dual-track diarization with separate app and microphone tracks for clean speaker separation | Multiple transcription models trading off speed and accuracy |
| Integrations | Recurring-speaker recognition using stored voice embeddings matched by cosine similarity | Speaker identification on the highest-accuracy tier |
| Languages & capture | Structured Markdown protocols (summary, participants, topics, decisions, tasks, open questions, transcript) | Word-level and segment-level timestamps for clean subtitle timing |
| Best-fit workflow | Pluggable summarization backends: Claude Code CLI, OpenAI-compatible APIs (Ollama, LM Studio), or transcript-only | Support for a wide range of languages and accents |
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.
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.
Meeting Transcriber
Typist
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 Typist is strong for transcribing recorded interviews and research or client calls. Both transcribe and summarize meetings.
Meeting Transcriber 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.
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.