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. Minom: India-built AI meeting notes app that records conversations and generates speaker-aware minutes, decisions, and action items across major Indian languages. The right pick comes down to team size, budget, and the workflows you want to automate.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Daisy when recording and transcribing meetings privately on a mac without cloud upload matters most, and Minom when generating minutes of meeting, decisions, and action items for indian teams matters most. Run both through a week of actual calls to see which suits your workflow.
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.
India-built AI meeting notes app that records conversations and generates speaker-aware minutes, decisions, and action items across major Indian 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
Minom is an India-built AI meeting notes application designed for multilingual Indian teams. It records in-person conversations through a device microphone and can also import online meeting transcripts, then produces speaker-aware summaries, minutes of meeting (MoM), decisions, and action items automatically. According to its official site, Minom is positioned specifically for Indian organizations and supports transcription in a broad set of Indian languages including Hindi, Gujarati, Marathi, Tamil, Telugu, Kannada, Malayalam, Bengali, and Punjabi, alongside English and other global languages. It is built to handle Indian accents and multi-speaker meeting flow, converting speech into structured text. The product supports conference-room/in-person recording and integration with Microsoft Teams meeting transcripts, with outputs organized into transcripts, summaries, decisions, speaker notes, and follow-up tasks. Minom is available as an Android app via Google Play, with an iOS version listed as coming soon, and offers a web dashboard for reviewing generated notes. It targets teams that conduct meetings in regional Indian languages and need accurate, structured documentation rather than relying on global tools optimized primarily for English. Pricing and full plan details are listed on the official website. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Daisy is a free tier with paid upgrades (freemium); Minom is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | Minom |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | Records in-person/conference-room conversations via microphone |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | Generates speaker-aware summaries, decisions, and action items |
| Team usage | Structured AI notes with action items and follow-ups | Transcription support for many Indian languages (Hindi, Gujarati, Marathi, Tamil, Telugu, Kannada, Malayalam, Bengali, Punjabi) plus English and global languages |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | Imports Microsoft Teams meeting transcripts |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | Produces structured minutes of meeting (MoM) and follow-up tasks |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | Android app with web dashboard (iOS listed as coming soon) |
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.
Minom
Choose Minom if you need documenting multilingual business meetings held in hindi or regional indian languages — strengths include built specifically for multilingual indian teams and indian accents.
Daisy
Minom
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while Minom is strong for documenting multilingual business meetings held in hindi or regional indian languages. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and Minom 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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