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. Maestra: AI platform for transcription, subtitles, dubbing, and live captioning across many languages. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Daisy when recording and transcribing meetings privately on a mac without cloud upload matters most, and Maestra when adding live captions to webinars, streams, and meetings matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
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 platform for transcription, subtitles, dubbing, and live captioning across many languages.
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
Maestra is an AI-powered media platform that provides transcription, subtitling, translation, and dubbing for audio and video content, both on demand and in real time. For transcription, users upload audio or video and Maestra produces speech-to-text output with features such as speaker detection, punctuation, and timestamps. The platform can auto-generate subtitles and captions, which users can edit, style, and export in multiple formats, and it can translate that text across a large set of languages. Maestra also offers live transcription for meetings, webinars, and streams, with stated integrations for platforms including Zoom and Microsoft Teams, as well as live production tools. This makes it usable both as a post-production transcription and captioning service and as a real-time captioning layer over live sessions. Maestra is aimed at media companies, content creators, marketers, and organizations that need multilingual transcripts, subtitles, and captions, and that may also want real-time captioning for live events and meetings. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Daisy is a free tier with paid upgrades (freemium); Maestra is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | Maestra |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | AI transcription with speaker detection, punctuation, and timestamps |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | Automatic subtitle and caption generation with editing tools |
| Team usage | Structured AI notes with action items and follow-ups | Translation of transcripts and subtitles across many languages |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | Real-time live transcription for meetings, webinars, and streams |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | Integrations with live and meeting platforms such as Zoom and Microsoft Teams |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | AI transcription with speaker detection, punctuation, and timestamps |
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.
Maestra
Choose Maestra if you need generating multilingual subtitles for video content — strengths include covers both on-demand and real-time transcription needs.
Daisy
Maestra
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while Maestra is strong for generating multilingual subtitles for video content. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and Maestra is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Sure. Running both makes sense when their strengths don't overlap and the budget allows.
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