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. Swell AI: Swell AI transcribes podcast audio and video with automatic speaker labeling and turns the transcript into show notes, articles, summaries, and social posts. 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 Swell AI when turning a single episode into show notes, a blog article, and social posts for distribution 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.
Swell AI transcribes podcast audio and video with automatic speaker labeling and turns the transcript into show notes, articles, summaries, and social posts.
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
Swell AI is a transcription and content-repurposing platform built for podcasters, content creators, marketers, and agencies. Users upload audio or video, or pull episodes in from sources such as RSS feeds, Apple Podcasts, YouTube links, and cloud storage like Dropbox, Google Drive, and OneDrive. Swell AI generates a transcript in which speakers are automatically identified and labeled, and provides a transcript editor where you can highlight and clip sections, which the platform saves for reuse across a team. From the same transcript it produces repurposed content: show notes, summaries, long-form SEO articles, newsletters, titles and keywords, and social posts such as LinkedIn posts, Twitter/X threads, and Instagram captions. It can also export highlighted sections as video clips and audiograms, and create an episode-trained chatbot that can be embedded on a site. The platform offers a REST API for custom integrations and a dashboard for managing multiple shows. It is distinct in pairing accurate transcription with a broad, podcast-focused repurposing pipeline rather than transcription alone.
Best suited for
Daisy is a free tier with paid upgrades (freemium); Swell AI is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | Swell AI |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | Audio and video transcription with automatic speaker identification and labeling |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | Transcript editor for highlighting and clipping sections, with AI-suggested compelling segments |
| Team usage | Structured AI notes with action items and follow-ups | Content repurposing into show notes, summaries, SEO articles, newsletters, and social posts |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | Video clip and audiogram export from highlighted transcript sections |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | Bulk import from RSS feeds, Apple Podcasts, YouTube, and cloud storage (Dropbox, Google Drive, OneDrive) |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | REST API and multi-show dashboard for teams and agencies |
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.
Swell AI
Choose Swell AI if you need transcribing podcast episodes and labeling speakers for an accurate, editable transcript — strengths include combines accurate transcription with a wide range of automated repurposing outputs in one tool.
Daisy
Swell AI
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while Swell AI is strong for transcribing podcast episodes and labeling speakers for an accurate, editable transcript. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and Swell AI 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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