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. Observe.AI: Observe.AI is a contact-center conversation intelligence platform that records, transcribes, and auto-scores customer calls and chats against quality scorecards while guiding agents in real time. 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 Observe.AI when contact-center agents getting real-time prompts and after-call summaries during live interactions 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.
Observe.AI is a contact-center conversation intelligence platform that records, transcribes, and auto-scores customer calls and chats against quality scorecards while guiding agents in real time.
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
Observe.AI is a conversation intelligence and CX platform built for contact centers. It captures customer interactions across voice, chat, and email, then transcribes them using a proprietary automatic speech recognition (ASR) engine that produces diarized transcripts with built-in PII redaction. On top of those transcripts, it layers large language models to automatically evaluate 100% of conversations against configurable QA scorecards, replacing the manual sampling most quality teams rely on. The platform surfaces sentiment, keyword spotting, and operational insights, and feeds them into coaching workflows for supervisors. For frontline agents, an Agent Copilot delivers real-time guidance, next-best-action prompts, and automated after-call summaries during live interactions. It's aimed at enterprise CX, support, and sales operations in regulated industries such as banking, insurance, healthcare, and travel, and offers hundreds of pre-built integrations with common contact-center and CRM systems. Distinct points include full-coverage auto QA, real-time agent assist tied to live sentiment, and an ASR engine tuned specifically for contact-center audio rather than general meetings.
Best suited for
Daisy is a free tier with paid upgrades (freemium); Observe.AI is custom pricing (contact sales). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | Observe.AI |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | Proprietary ASR that produces diarized call transcriptions with built-in PII redaction |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | Automated quality assurance that scores 100% of interactions against configurable QA scorecards |
| Team usage | Structured AI notes with action items and follow-ups | Real-time Agent Copilot delivering live guidance, prompts, and next-best-action suggestions |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | Automated after-call summaries for voice and chat interactions |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | Sentiment analysis, keyword spotting, and conversation analytics across voice, chat, and email |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | Supervisor coaching workflows and pre-built integrations with contact-center and CRM tools |
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.
Observe.AI
Choose Observe.AI if you need quality assurance teams auto-scoring every support call against compliance and qa scorecards — strengths include auto-scores 100% of conversations instead of a small manual sample, giving full qa coverage.
Daisy
Observe.AI
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while Observe.AI is strong for quality assurance teams auto-scoring every support call against compliance and qa scorecards. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and Observe.AI is custom pricing. Check each vendor's pricing page for the latest plans and free-tier limits.
You can — some teams pair them when each covers a different part of the meeting workflow.
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