Daisy: Local-first, open-source macOS meeting recorder and AI notes app that transcribes on-device and exposes meetings to AI tools through a local MCP server. Typist: AI speech-to-text service that converts audio and video into text and exports captions, with tiered models for speed or accuracy. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Daisy when recording and transcribing meetings privately on a mac without cloud upload matters most, and Typist when generating srt or webvtt captions for podcasts and videos matters most. Try them side by side on real calls before deciding — needs vary by team.
Local-first, open-source macOS meeting recorder and AI notes app that transcribes on-device and exposes meetings to AI tools through a local MCP server.
AI speech-to-text service that converts audio and video into text and exports captions, with tiered models for speed or accuracy.
Daisy, from Addicted Studio, is a local-first meeting recorder and AI notes application for macOS that records meetings on the Mac, transcribes them on the device, and then exposes the captured conversations as a local MCP server for AI tools. It captures both microphone and system audio from any source, including Zoom, Google Meet, Telegram, and other apps, using ScreenCaptureKit, and performs on-device transcription with WhisperKit plus speaker identification via Pyannote diarization, so audio never leaves the Mac unless the user explicitly enables a cloud LLM provider. Beyond raw transcription, Daisy generates structured notes with action items and follow-ups and supports multiple summarization backends including Apple Intelligence, Anthropic, and OpenAI, as well as MCP. Because it runs a local MCP server, tools such as Claude Desktop and Cursor can read recorded meetings directly, and Daisy can export results to Notion, Linear, Attio, Slack, or arbitrary webhooks. It offers several capture modes covering meeting recording, voice dictation, and quick voice notes. Daisy is a native Mac application (not Electron) for Apple Silicon, is fully open source on GitHub under the Apache 2.0 license, and emphasizes privacy with no telemetry, tracking, or required account. The project maintains a product site at mydaisy.io with installation, FAQ, and support documentation. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Typist is an AI transcription service that converts audio and video files into text and caption files. Users upload recordings in common formats such as MP3, MP4, M4A, WAV, OGG, FLAC, and WebM, and Typist returns a transcript that can be exported to DOCX, SRT subtitles, WebVTT captions, PDF, or plain text. The platform offers multiple transcription models, described as Turbo for speed, Pro for a balance of speed and accuracy, and Studio for the highest accuracy, with the Studio tier adding speaker identification. Typist supports a wide range of languages and accents and provides word-level and segment-level timestamps, which makes it suitable for producing subtitles that import cleanly into video editors. The product positions itself around fast turnaround for pre-recorded content and predictable, credit-based usage. Its documented use cases span lectures, podcasts, interviews, research and client calls, and consulting meetings, alongside students, therapists, and video editors. A free tier with a limited number of minutes lets new users try the service before moving to paid plans, and a web dashboard handles uploads, transcription, and exports. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Daisy 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 | Daisy | Typist |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | Audio and video to text transcription across many file formats |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | Export to SRT subtitles, WebVTT captions, DOCX, PDF, and TXT |
| Team usage | Structured AI notes with action items and follow-ups | Multiple transcription models trading off speed and accuracy |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | Speaker identification on the highest-accuracy tier |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | Word-level and segment-level timestamps for clean subtitle timing |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | Support for a wide range of languages and accents |
Daisy
Choose Daisy if you need recording and transcribing meetings privately on a mac without cloud upload — strengths include fully local-first with audio kept on-device unless a cloud llm is explicitly enabled.
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.
Daisy
Typist
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while Typist is strong for transcribing recorded interviews and research or client calls. Both transcribe and summarize meetings.
Daisy 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.
Often yes: teams combine tools when one handles capture and another handles analysis.
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