Amberscript: Audio and video to text service offering automatic and human-verified transcripts and subtitles. 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. The right pick comes down to team size, budget, and the workflows you want to automate.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Amberscript when transcribing interviews, research, and media for accurate records matters most, and Daisy when feeding meeting transcripts into claude desktop or cursor via a local mcp server matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
Audio and video to text service offering automatic and human-verified transcripts and subtitles.
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.
Amberscript is a speech-to-text service that converts audio and video into text and subtitles, offering both automatic AI transcription and human-verified options. Users upload recordings and choose between editable automatic transcripts produced by speech recognition or expert-reviewed transcripts refined by professional editors for higher accuracy. The platform similarly provides subtitles in either automated or professionally edited form, including translation services, and offers a transcript editor for reviewing and correcting output. Amberscript supports a large number of languages and additionally provides a speech-to-text API and data annotation services, as well as a meeting transcription offering for capturing and converting spoken meetings into text. The combination of self-serve automatic transcription and a human-review tier lets users trade off speed against accuracy depending on the use case. Amberscript is aimed at researchers, media organizations, businesses, and public-sector users who need reliable transcripts and subtitles, including those with accuracy or accessibility requirements that justify human-reviewed output rather than automation alone. Pricing varies by plan. Check the official website for current pricing.
Best suited for
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
Amberscript is a free tier with paid upgrades (freemium); Daisy is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Amberscript | Daisy |
|---|---|---|
| Core capability | Automatic AI transcription of audio and video | Local recording of mic and system audio from any source via ScreenCaptureKit |
| Standout feature | Human-verified transcript and subtitle option for higher accuracy | On-device transcription with WhisperKit and speaker diarization via Pyannote |
| Team usage | Subtitle generation and translation services | Structured AI notes with action items and follow-ups |
| Integrations | Transcript editor for reviewing and correcting output | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP |
| Languages & capture | Speech-to-text API and meeting transcription support | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings |
| Best-fit workflow | Automatic AI transcription of audio and video | Exports to Notion, Linear, Attio, Slack, or custom webhooks |
Amberscript
Choose Amberscript if you need transcribing interviews, research, and media for accurate records — strengths include choice between fast automatic and accurate human-reviewed output.
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.
Amberscript
Daisy
It depends on your workflow. Amberscript is strong for transcribing interviews, research, and media for accurate records, while Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload. Both transcribe and summarize meetings.
Amberscript is a free tier with paid upgrades and Daisy 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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