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. Deciphr: Deciphr is an AI platform that transcribes audio and video files and automatically repurposes them into transcripts, show notes, articles, social captions, and video reels. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Daisy when recording and transcribing meetings privately on a mac without cloud upload matters most, and Deciphr when marketers repurposing webinars and recorded talks into articles, newsletters, and social posts 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.
Deciphr is an AI platform that transcribes audio and video files and automatically repurposes them into transcripts, show notes, articles, social captions, and video reels.
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
Deciphr is an AI content-automation platform that transcribes audio and video—including podcasts, webinars, and meetings—and turns a single upload into a suite of derived content. After processing a recording, it generates a transcript plus assets such as show notes, episode summaries, chapters, quotes, SEO articles, FAQs, newsletters, social captions, audiograms, and video reels. Its built-in editor supports bulk editing, filler-word filtering, and automated speaker identification, letting users add speaker names and clean up text in-app. An AI chat assistant lets you query a transcript, brainstorm ideas, and pull suggestions from the uploaded content, and batch upload can pull from YouTube channels, playlists, or RSS feeds. Deciphr is aimed primarily at podcasters, YouTubers, webinar hosts, B2B marketers, agencies, and content creators whose main need is repurposing long-form recordings into many marketing assets rather than live meeting capture. It offers a free tier alongside paid Hobbyist, Professional, and Enterprise plans, with API access and advanced batch features available on higher tiers.
Best suited for
Daisy is a free tier with paid upgrades (freemium); Deciphr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | Deciphr |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | AI transcription of audio and video files, including podcasts, webinars, and meetings |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | Automated repurposing into 75+ asset types (show notes, summaries, articles, FAQs, captions, newsletters) |
| Team usage | Structured AI notes with action items and follow-ups | Audiogram and video reel generation, plus an AI clip finder for social media |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | In-app editor with bulk editing, filler-word filtering, and automated speaker identification |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | AI chat assistant to query transcripts and brainstorm content ideas |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | Batch upload from YouTube channels, playlists, or RSS feeds |
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.
Deciphr
Choose Deciphr if you need podcasters generating show notes, transcripts, chapters, and clips from each episode — strengths include turns one recording into many ready-to-use marketing assets, saving significant manual repurposing time.
Daisy
Deciphr
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while Deciphr is strong for podcasters generating show notes, transcripts, chapters, and clips from each episode. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and Deciphr 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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