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. Level AI: Level AI is a contact center conversation intelligence platform that transcribes, scores, and analyzes voice and text customer interactions with automated QA and real-time agent assist. 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 Level AI when coaching contact center agents using transcript-based insights and real-time call guidance matters most. Run both through a week of actual calls to see which suits your workflow.
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.
Level AI is a contact center conversation intelligence platform that transcribes, scores, and analyzes voice and text customer interactions with automated QA and real-time agent assist.
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
Level AI is a customer experience platform built for enterprise contact centers that captures, transcribes, and analyzes customer conversations across voice calls, chat, email, and bot interactions. Its proprietary speech-to-text engine, trained on noisy call center audio and fine-tuned to each customer's terminology, converts spoken conversations into searchable transcripts. On top of that transcription layer, Level AI applies semantic intelligence (natural language understanding) rather than keyword matching to detect intent, sentiment, and compliance issues, aiming to monitor 100% of interactions instead of a small sampled fraction. The platform automates quality assurance by scoring conversations against custom scorecards, including open-ended criteria via its QA-GPT feature, and surfaces coaching opportunities. A real-time Agent Assist module suggests next-best actions during live calls, and analytics dashboards extract voice-of-customer insights and dissatisfaction drivers. It is aimed at QA, CX, and operations teams in financial services, healthcare, insurance, and retail. Level AI also offers AI virtual agents for call deflection and screen recording for agent monitoring.
Best suited for
Daisy is a free tier with paid upgrades (freemium); Level AI is custom pricing (contact sales). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | Level AI |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | Speech-to-text transcription of voice calls plus ingestion of chat, email, and bot text across channels |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | Semantic conversation intelligence using NLU to detect intent, sentiment, and compliance signals |
| Team usage | Structured AI notes with action items and follow-ups | Automated quality assurance scoring of 100% of interactions via custom scorecards and QA-GPT |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | Real-time Agent Assist that surfaces recommended responses and guidance during live calls |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | Analytics dashboards for voice-of-customer insights, dissatisfaction drivers, and root-cause analysis |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | Agent screen recording and AI virtual agents for call triage and deflection |
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.
Level AI
Choose Level AI if you need automatically scoring and auditing agent calls and chats for quality assurance at scale — strengths include transcription engine is trained specifically on noisy contact center audio and tuned to customer-specific terminology.
Daisy
Level AI
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while Level AI is strong for automatically scoring and auditing agent calls and chats for quality assurance at scale. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and Level 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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