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. Dscout: Experience research platform for moderated interviews, diary studies, and usability testing with AI transcription, themes, and analysis. 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 Dscout when capturing in-context diary studies and video feedback 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.
Experience research platform for moderated interviews, diary studies, and usability testing with AI transcription, themes, and analysis.
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
Dscout is an experience research platform that pairs human participant feedback with AI tools to help teams gather and analyze qualitative insights at scale. It supports a range of research methods, including live and uploaded moderated interviews, usability testing with heat maps and task success metrics, real-time site intercepts, field studies, diary studies with multiple activities, and media-rich surveys. For interviews, Dscout simplifies scheduling across time zones, integrates incentives, supports observers, and can capture both a participant's face and screen, and it also offers an AI Moderator that can autonomously guide participants, seek clarification, and capture feedback. On the analysis side, Dscout provides automated transcription, AI-generated summaries of open-ended and video responses, AI-generated themes presented as smart tags for pattern identification, and surfacing of notable moments that highlight strong opinions or surprising insights. Teams can recruit from Dscout's verified Scout participant pool or bring their own audience. Known historically for mobile and in-context research, Dscout positions itself as an AI-native platform that helps researchers capture high-fidelity feedback and move quickly from raw sessions to organized, analyzable insights. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Daisy is a free tier with paid upgrades (freemium); Dscout is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | Dscout |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | Moderated live and uploaded video interviews with observer support |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | AI Moderator that dynamically guides participants and captures feedback |
| Team usage | Structured AI notes with action items and follow-ups | Automated transcription of interviews and responses |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | AI-generated summaries of open-ended and video responses |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | AI-generated themes as smart tags and surfaced notable moments |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | Diary studies, usability testing, intercepts, and media-rich surveys |
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.
Dscout
Choose Dscout if you need running and transcribing moderated user interviews — strengths include supports many research methods beyond interviews in one platform.
Daisy
Dscout
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while Dscout is strong for running and transcribing moderated user interviews. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and Dscout 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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