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. TranscribeTube: TranscribeTube is an AI transcription web app that turns YouTube videos, podcasts, and audio files into timestamped text with speaker labels, summaries, and subtitle export. 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 TranscribeTube when generating srt subtitle files for youtube videos and other video content 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.
TranscribeTube is an AI transcription web app that turns YouTube videos, podcasts, and audio files into timestamped text with speaker labels, summaries, and subtitle export.
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
TranscribeTube is a browser-based AI transcription tool that converts spoken content into editable text. Users paste a YouTube URL or upload audio and video files, and the platform returns a timestamped transcript with automatic speaker diarization, so each speaker's lines are labeled. It handles content of any length, from short clips to multi-hour podcasts, live streams, and lectures. Beyond raw transcription, it offers AI-powered summarization to surface key points, smart chapter segmentation, and one-click translation across a large set of languages. Finished transcripts can be edited in an in-browser text editor and exported in multiple formats, including SRT subtitles for video editors and YouTube Studio, plain text, and PDF. It is aimed at content creators, podcasters, video producers, researchers, and academics who need accurate written versions of spoken media. An API is available on higher tiers for developers who want to integrate transcription into their own workflows. The company states it does not store video content, only the resulting transcript text, and claims GDPR compliance.
Best suited for
Daisy is a free tier with paid upgrades (freemium); TranscribeTube is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | TranscribeTube |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | Paste a YouTube URL or upload audio/video to generate timestamped transcripts |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | Automatic speaker identification (diarization) with labeled speakers |
| Team usage | Structured AI notes with action items and follow-ups | AI-powered summaries and smart chapter segmentation of long videos |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | Translation across a large set of languages |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | Export to SRT subtitles, plain text, and PDF, plus an in-browser transcript editor |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | API access for developers on higher-tier plans |
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.
TranscribeTube
Choose TranscribeTube if you need transcribing podcast episodes into searchable, editable text for show notes or repurposing — strengths include works directly from a youtube url with no browser extension or download needed.
Daisy
TranscribeTube
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while TranscribeTube is strong for transcribing podcast episodes into searchable, editable text for show notes or repurposing. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and TranscribeTube is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
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