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. Mr. Transcription: Japanese AI transcription service (文字起こしさん) that converts audio, video, images, and PDFs to text and can auto-summarize recordings into meeting minutes. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Daisy when recording and transcribing meetings privately on a mac without cloud upload matters most, and Mr. Transcription when transcribing interviews and lectures with speaker separation matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
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.
Japanese AI transcription service (文字起こしさん) that converts audio, video, images, and PDFs to text and can auto-summarize recordings into meeting minutes.
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
Mr. Transcription (文字起こしさん) is a Japanese AI transcription service that converts audio, video, image, and PDF files into text directly in the browser. While it is a general-purpose transcription tool, it includes meeting-oriented capabilities: it can transcribe meeting recordings and then use AI to automatically summarize results into meeting minutes with key points. The service supports very large inputs (files up to roughly 1GB or several hours), generates subtitle files in SRT and VTT formats, and offers translation across more than 100 languages with automatic language detection for mixed-language audio. It is built around a privacy stance, with paid plans described as keeping no logs and not learning from user data. Mr. Transcription includes a customizable dictionary that improves recognition of frequently used or specialized terms over time, speaker recognition to distinguish multiple participants, and noise handling for clearer results in imperfect recording environments. The service operates a free tier offering a limited amount of daily audio and image transcription after registration, alongside several paid monthly and annual plans that scale up monthly transcription hours. It is currently operating and is used for meeting minutes, interviews, lecture notes, and subtitle creation, with broad multilingual coverage centered on Japanese. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Daisy is a free tier with paid upgrades (freemium); Mr. Transcription is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | Mr. Transcription |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | Transcription of audio, video, image, and PDF files in the browser |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | AI summarization that turns recordings into meeting minutes with key points |
| Team usage | Structured AI notes with action items and follow-ups | Subtitle generation in SRT and VTT formats |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | Translation across 100+ languages with automatic language detection |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | Speaker recognition and a customizable terminology dictionary |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | Privacy-focused paid plans described as keeping no logs |
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.
Mr. Transcription
Choose Mr. Transcription if you need creating meeting minutes and summaries from uploaded recordings — strengths include handles large files and a wide range of input formats including pdfs and images.
Daisy
Mr. Transcription
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while Mr. Transcription is strong for creating meeting minutes and summaries from uploaded recordings. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and Mr. Transcription 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.
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