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. StreamText: StreamText is a real-time captioning platform that delivers live human or AI-generated captions, translations, and transcripts for events and meetings. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Daisy when recording and transcribing meetings privately on a mac without cloud upload matters most, and StreamText when real-time captioning and translation in classrooms and lectures for accessibility 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.
StreamText is a real-time captioning platform that delivers live human or AI-generated captions, translations, and transcripts for events and meetings.
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
StreamText is an enterprise real-time captioning platform, founded in 2003, that delivers spoken words as live captions to web pages, devices, and conferencing tools. It supports two modes: professional human captioners (using stenography, re-speaking, and text interpreting) and AI-powered automatic speech recognition (ASR), which converts speech to text in real time and produces captions, translations, and transcripts. Source audio is captioned live and streamed to an ADA-compliant viewer that works with screen readers, while AI captioning recognizes around 20 source languages and offers realtime translation into well over 100 languages. Captioned sessions can be exported as timed-text transcript files such as .srt and .vtt, and StreamCast lets organizers overlay captions onto videos and presentations. It integrates with Zoom, Webex, YouTube, and Adobe, and exposes a full API for OEM and third-party embedding. It is aimed at corporate and hybrid events, conferences, classrooms, trade shows, and legal or government settings needing accessibility. Pricing is usage-based per minute with no subscriptions or setup fees.
Best suited for
Daisy is a free tier with paid upgrades (freemium); StreamText is a free tier with paid upgrades (paid). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | StreamText |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | Real-time live captioning streamed to web pages and devices |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | AI-powered automatic speech recognition (ASR) for live captions and transcripts |
| Team usage | Structured AI notes with action items and follow-ups | Professional human captioning via stenography, re-speaking, and text interpreting |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | Realtime translation into 100+ languages with ~20 source languages |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | Downloadable timed-text transcripts (.srt, .vtt) and on-demand transcription |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | Integrations with Zoom, Webex, YouTube, and Adobe plus a full 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.
StreamText
Choose StreamText if you need providing live captions and transcripts for corporate, hybrid, and virtual events — strengths include offers both professional human captions and ai captions on one platform.
Daisy
StreamText
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while StreamText is strong for providing live captions and transcripts for corporate, hybrid, and virtual events. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and StreamText 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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