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. Kanari AI: Kanari AI is a MENA-focused speech technology company whose Fenek AI platform automatically transcribes, translates, and subtitles Arabic-dialect and English audio and video, including meeting recordings. 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 Kanari AI when generating editable transcripts and shareable exports for content and research teams 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.
Kanari AI is a MENA-focused speech technology company whose Fenek AI platform automatically transcribes, translates, and subtitles Arabic-dialect and English audio and video, including meeting recordings.
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
Kanari AI is a speech-technology company founded in 2020, headquartered in Pasadena, California, with offices in Doha, Dubai, and Bangalore. It specializes in automatic speech recognition, text-to-speech, and natural language processing for Arabic dialects and English. Its consumer-facing product, Fenek AI, is a web-based transcription, translation, and subtitling platform that lets users upload audio and video files, including online meeting recordings, and convert them to editable text. It is notable for handling all major Arabic dialects, as well as mixed Arabic-and-English speech within the same sentence. Within the platform, users can edit transcripts, share and download files in multiple formats, generate subtitles for video, and create team workspaces to collaborate across projects. Kanari AI also offers its speech recognition and text-to-speech models through a web portal and an API available on request, serving media, education, government, and healthcare. It is built primarily for Arabic-speaking individuals, content teams, and organizations in the MENA region needing dialect-aware transcription and captioning.
Best suited for
Daisy is a free tier with paid upgrades (freemium); Kanari AI is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | Kanari AI |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | Automatic transcription of audio and video files, including online meeting recordings |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | Support for all major Arabic dialects and mixed Arabic-English speech in the same sentence |
| Team usage | Structured AI notes with action items and follow-ups | Translation and subtitle/caption generation for video |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | Transcript editing with sharing and multi-format export |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | Team workspaces for collaborative, multi-project work |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | Speech recognition and text-to-speech also available via web portal and API |
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.
Kanari AI
Choose Kanari AI if you need transcribing and subtitling arabic-dialect media, interviews, and meeting recordings — strengths include strong dialectal arabic coverage, including code-switching between arabic and english.
Daisy
Kanari AI
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while Kanari AI is strong for transcribing and subtitling arabic-dialect media, interviews, and meeting recordings. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and Kanari 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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