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. QEval: QEval is an AI contact center quality assurance platform that transcribes and scores customer conversations across voice, chat, email, and SMS against customizable scorecards. 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 QEval when real-time compliance monitoring and de-escalation support during live customer calls matters most. Try them side by side on real calls before deciding — needs vary by team.
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.
QEval is an AI contact center quality assurance platform that transcribes and scores customer conversations across voice, chat, email, and SMS 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
QEval, built by Etech Global Services, is an AI-powered contact center quality assurance and performance management platform. It automatically transcribes recorded and live customer interactions across voice, chat, email, and SMS channels, then applies speech analytics, sentiment detection, and topic classification to evaluate every conversation against customizable quality scorecards rather than a small manual sample. Built for contact center QA teams, compliance officers, and operations leaders, it converts interactions into searchable transcripts in near real time, scoring both human and AI agents. QEval includes real-time agent assist that surfaces compliance prompts and de-escalation guidance during live calls, automated PCI/HIPAA/GDPR compliance monitoring with PHI/PII redaction, and coaching workflows with analytics and gamification to drive agent improvement. A flexible scorecard builder supports numeric, weighted, blind, and holistic scoring formats. Distinct from generic LLM wrappers, QEval emphasizes a proprietary multi-expert evaluation architecture, vendor-neutral scoring of third-party AI agents, and a roughly 30-day deployment timeline aimed at enterprise contact centers.
Best suited for
Daisy is a free tier with paid upgrades (freemium); QEval is custom pricing (contact sales). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | QEval |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | Automated transcription of recorded and live calls into searchable text via speech analytics |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | Customizable quality scorecards (numeric, weighted, blind, and holistic scoring formats) |
| Team usage | Structured AI notes with action items and follow-ups | Evaluation across 100% of voice, chat, email, and SMS interactions instead of manual samples |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | Real-time agent assist with live compliance prompts and de-escalation guidance |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | Compliance monitoring for PCI, HIPAA, and GDPR with PHI/PII redaction |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | Scoring of both human agents and third-party AI agents, plus coaching, analytics, and gamification |
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.
QEval
Choose QEval if you need automating quality monitoring and scoring of agent customer interactions at scale — strengths include transcribes and analyzes 100% of interactions across multiple channels rather than a sampled subset.
Daisy
QEval
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while QEval is strong for automating quality monitoring and scoring of agent customer interactions at scale. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and QEval is custom pricing. 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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