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. Traq.ai: Conversation intelligence platform that records, transcribes, and analyzes sales calls and links insights to the CRM. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Daisy when recording and transcribing meetings privately on a mac without cloud upload matters most, and Traq.ai when coaching reps using recorded conversations and analytics matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
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.
Conversation intelligence platform that records, transcribes, and analyzes sales calls and links insights to the CRM.
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
Traq.ai is a conversation intelligence platform built for sales teams that records, transcribes, and analyzes sales calls and meetings. After each conversation, the platform generates summaries, action items, and recommended next steps, and applies analysis such as sentiment and topic detection to surface buyer preferences, competitive mentions, and obstacles raised during the call. These outputs are attached to the relevant prospect or deal record in connected systems, helping reduce manual note-taking and administrative work. Traq.ai integrates with common CRMs including HubSpot and Salesforce, as well as conferencing tools such as Zoom, Microsoft Teams, and Google Meet, and offers a mobile app for capturing in-person meetings. An AI assistant, referred to as Ask Ava, lets users query their full repository of recorded conversations to find specific information and trends across deals. The platform is aimed at sales managers and reps who want consistent call documentation, coaching material drawn from real conversations, and CRM records that stay current without heavy manual entry. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Daisy is a free tier with paid upgrades (freemium); Traq.ai is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | Traq.ai |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | Automatic call recording and transcription |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | AI summaries, action items, and recommended next steps |
| Team usage | Structured AI notes with action items and follow-ups | Sentiment and conversation analytics |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | CRM integrations (HubSpot, Salesforce) and conferencing connectors (Zoom, Teams, Meet) |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | Ask Ava AI assistant to query past conversations |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | Mobile app for in-person meeting capture |
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.
Traq.ai
Choose Traq.ai if you need documenting sales calls with summaries and action items — strengths include links call insights directly to crm prospect and deal records.
Daisy
Traq.ai
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while Traq.ai is strong for documenting sales calls with summaries and action items. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and Traq.ai 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.
More head-to-head comparisons involving Daisy and Traq.ai.
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. Deepting: Real-time AI transcription and meeting summary app for meetings, interviews, and lectures across mobile and web. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
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. Demodesk: AI sales meeting platform that records, transcribes, coaches reps, and automates note-taking, follow-ups, and CRM updates. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
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. DepoDash: Cloud court-reporting platform delivering verbatim deposition transcription via AI, stenographers, or voice writers. The right pick comes down to team size, budget, and the workflows you want to automate.
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. Deposely: AI deposition platform for litigators covering prep, real-time insights, and transcript review and summaries. This comparison weighs them on pricing, features, and everyday workflow fit.
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. Descript: Video/podcast editor with transcription and meeting recording Below, they line up on price, capture method, and how each fits a real meeting stack.
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. Dialpad: AI-powered communications platform with a sales dialer that provides real-time transcription, live coaching cards, and post-call summaries. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
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. Dicte: Privacy-focused AI meeting assistant that records, transcribes, and summarizes meetings and voice notes on mobile and desktop. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
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. Dovetail: Customer insights platform that centralizes interviews and feedback, with AI transcription, analysis, search, and a research repository. The right pick comes down to team size, budget, and the workflows you want to automate.
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. Dscout: Experience research platform for moderated interviews, diary studies, and usability testing with AI transcription, themes, and analysis. The right pick comes down to team size, budget, and the workflows you want to automate.
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. Echometer: Psychology-based platform for agile retrospectives, recurring team health checks, and structured 1:1 meetings with AI-assisted suggestions. Below, they line up on price, capture method, and how each fits a real meeting stack.
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. Edisyn: Real-time AI meeting assistant from a Turkish-founded team that listens to calls and provides live notes, summaries, and suggested questions and answers. Below, they line up on price, capture method, and how each fits a real meeting stack.
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. Efficlose: An AI meeting platform offering a bot-free Chrome extension plus desktop and web apps that transcribe, summarize, and extract action items from calls. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.