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. EkaScribe: EkaScribe is an AI medical scribe by Eka Care that records doctor-patient conversations and automatically generates structured clinical notes, summaries, and prescriptions. 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 EkaScribe when producing structured prescriptions and soap notes directly into an emr workflow 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.
EkaScribe is an AI medical scribe by Eka Care that records doctor-patient conversations and automatically generates structured clinical notes, summaries, and prescriptions.
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
EkaScribe is an AI-powered medical scribe developed by Eka Care, built for doctors and clinicians. It captures clinical consultations through live in-app voice recording or audio file upload, then transcribes the speech and converts it into structured clinical documentation such as consultation summaries, SOAP notes, and prescriptions rather than producing plain transcripts. The tool is built on Eka Care's in-house "Parrotlet" model and is designed for medical accents and noisy clinical environments, supporting 20+ languages including English, Hindi, Bengali, Telugu, Tamil, Marathi, Gujarati, Kannada, Malayalam, Punjabi, and Urdu, and handling code-mixed speech where doctors switch between English and regional languages. It is available as a web application, a Chrome extension, and a mobile app (Google Play). The Chrome extension enables one-click insertion of generated notes into web-based EMR systems, with clipboard copy-paste for offline systems, and it integrates with Eka Care's own Eka Doc EMR. It is aimed at doctors across specialties, with a particular focus on the Indian healthcare market.
Best suited for
Daisy is a free tier with paid upgrades (freemium); EkaScribe is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | EkaScribe |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | Ambient/live voice recording and audio file upload capture |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | Converts speech into structured clinical notes, SOAP notes, summaries, and prescriptions |
| Team usage | Structured AI notes with action items and follow-ups | Multilingual support for 20+ languages including code-mixed English and regional Indian languages |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | Built on Eka Care's in-house 'Parrotlet' AI model tuned for medical accents and noisy clinical settings |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | Chrome extension for one-click note insertion into web-based EMR systems |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | Available on web, Chrome extension, and Android mobile app |
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.
EkaScribe
Choose EkaScribe if you need doctors generating clinical notes and summaries automatically from patient consultations — strengths include purpose-built for clinical documentation, producing emr-ready structured notes rather than raw transcripts.
Daisy
EkaScribe
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while EkaScribe is strong for doctors generating clinical notes and summaries automatically from patient consultations. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and EkaScribe 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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