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. Scribewave: Scribewave is a European AI transcription platform that converts audio and video into editable text across dozens of languages and dialects, with speaker diarization and an AI assistant for summaries and notes. 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 Scribewave when universities and qualitative researchers transcribing recorded sessions with speaker labels 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.
Scribewave is a European AI transcription platform that converts audio and video into editable text across dozens of languages and dialects, with speaker diarization and an AI assistant for summaries and notes.
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
Scribewave is an AI transcription platform from Belgian company Quantum Noodle BV (Leuven/Beerzel) that automatically converts audio and video files into editable text. Users upload recordings, the AI transcribes them, and an integrated editor lets people review and correct the text while audio plays, with click-to-audio sync so clicking a word jumps to that moment in the recording. The platform supports a wide range of languages and dialects, positioning itself around linguistic diversity and regional and mixed-language speech rather than English alone. It includes speaker diarization, custom vocabularies to preserve names and jargon, batch uploads, and exports to formats such as Word, Google Docs, and subtitle files (SRT/VTT), plus the ability to render captioned videos. An AI assistant can answer questions about a transcript and generate summaries, chapters, and meeting notes with timecode references. Scribewave emphasizes data ownership, European servers, and GDPR compliance, and states it does not use customer content to train its models. It targets journalists, researchers, universities, and content creators.
Best suited for
Daisy is a free tier with paid upgrades (freemium); Scribewave is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | Scribewave |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | AI transcription of audio and video files into editable text across many languages and dialects |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | Speaker diarization and speaker identification, including handling overlapping speech |
| Team usage | Structured AI notes with action items and follow-ups | Synchronized editor with click-to-audio word sync for review and correction |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | AI assistant that answers questions and generates summaries, chapters, and meeting notes with timecodes |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | Custom vocabularies to preserve names, jargon, and domain terms |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | Exports to Word, Google Docs, PDF, and subtitle formats (SRT/VTT), plus captioned video output |
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.
Scribewave
Choose Scribewave if you need journalists and researchers transcribing and reviewing interviews across multiple languages — strengths include strong multilingual and dialect coverage with a focus on smaller and regional languages.
Daisy
Scribewave
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while Scribewave is strong for journalists and researchers transcribing and reviewing interviews across multiple languages. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and Scribewave is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
You can — some teams pair them when each covers a different part of the meeting workflow.
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