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. Scorebuddy: Scorebuddy is an AI-powered contact center quality assurance platform that transcribes and auto-scores voice, chat, email, and social interactions against customizable scorecards. 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 Scorebuddy when transcribing and analyzing multilingual customer calls to surface sentiment and contact drivers 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.
Scorebuddy is an AI-powered contact center quality assurance platform that transcribes and auto-scores voice, chat, email, and social interactions against customizable scorecards.
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
Scorebuddy (ScorebuddyCX) is a contact center quality assurance and conversation intelligence platform built for QA teams, CX leaders, and BPOs across industries such as financial services, technology, healthcare, and retail. It ingests agent-customer interactions across voice, chat, email, and social channels and uses GenAI auto-scoring to automatically evaluate conversations against fully customizable scorecards, scoring both human agents and AI chatbots while maintaining an audit trail for regulated environments. For voice, it provides AI transcription that converts multilingual call recordings into transcripts, then layers conversation analytics on top: automated sentiment analysis, contact-driver categorization, and pattern detection across interactions. Reviewers can view scorecards alongside AI marked-up conversations and build automated pass/fail rules. The platform also includes a built-in learning management system that assigns targeted coaching and AI-generated courses based on identified skill gaps, plus configurable dashboards for CX, product, and other teams. It integrates with leading contact center and CRM tools including Five9, Genesys, Salesforce, and Zendesk. What distinguishes it is the combination of configurable QA scorecards, transcription-driven analytics, and coaching/LMS in one workflow.
Best suited for
Daisy is a free tier with paid upgrades (freemium); Scorebuddy is custom pricing (contact sales). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | Scorebuddy |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | AI transcription of multilingual call recordings into text transcripts |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | GenAI auto-scoring of interactions against fully customizable scorecards |
| Team usage | Structured AI notes with action items and follow-ups | Conversation analytics with sentiment analysis and contact-driver categorization |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | Omnichannel coverage across voice, chat, email, and social interactions |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | Side-by-side view of scorecards and AI marked-up conversations with automated pass/fail rules |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | Built-in learning management system with targeted coaching and AI-generated courses |
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.
Scorebuddy
Choose Scorebuddy if you need automatically scoring and qa-evaluating up to 100% of contact center interactions across channels — strengths include covers qa, conversation analytics, transcription, and coaching/lms in a single integrated platform.
Daisy
Scorebuddy
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while Scorebuddy is strong for automatically scoring and qa-evaluating up to 100% of contact center interactions across channels. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and Scorebuddy is custom pricing. 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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