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. spf.io: AI captioning and translation platform for in-person, virtual, and hybrid events, supporting 100+ languages with broad streaming integrations. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Daisy when recording and transcribing meetings privately on a mac without cloud upload matters most, and spf.io when providing multilingual accessibility for webinars streamed via zoom, youtube, or obs matters most. Run both through a week of actual calls to see which suits your workflow.
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.
AI captioning and translation platform for in-person, virtual, and hybrid events, supporting 100+ languages with broad streaming integrations.
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
spf.io, operated by TheoTech LLC, is an AI-powered captioning and translation platform built for in-person, virtual, and hybrid events. It provides automatic live captions and real-time translation in more than 100 languages, plus AI-generated translated audio in over 70 languages, so multilingual and deaf or hard-of-hearing audiences can follow sessions in their preferred language. Output can be shown on projectors with up to four languages at once, embedded into web and app players, or accessed by attendees on mobile devices through a QR code or URL with both text and audio options. The platform integrates with common meeting and streaming tools including Zoom, Microsoft Teams, Google Meet, YouTube, Facebook Live, OBS, StreamYard, vMix, and Twitch. Beyond fully automatic captions, spf.io supports supervised and edited captioning for quality control, bidirectional translation, manuscript-based delivery, and interpreter subtitling. It offers customization such as vocabulary fine-tuning, adapted machine translation models, custom speech recognition, and profanity filtering, and it makes remote operators, professional captioners, and interpreters available as add-on services. The company publishes ongoing product updates into 2026, confirming it is actively operating. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Daisy is a free tier with paid upgrades (freemium); spf.io is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | spf.io |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | Automatic live captions and translation in 100+ languages, with translated audio in 70+ |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | Projector display of up to four languages plus mobile QR/URL attendee access |
| Team usage | Structured AI notes with action items and follow-ups | Integrations with Zoom, Teams, Google Meet, YouTube, OBS, StreamYard, vMix, and Twitch |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | Supervised/edited captioning and bidirectional translation modes |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | Vocabulary fine-tuning, custom speech recognition, and adapted translation models |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | Optional professional captioners, interpreters, and remote operators as add-ons |
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.
spf.io
Choose spf.io if you need captioning and translating large in-person conferences across projectors and mobile devices — strengths include very broad language coverage for both captions and translated audio.
Daisy
spf.io
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while spf.io is strong for captioning and translating large in-person conferences across projectors and mobile devices. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and spf.io 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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