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. Velaris: Customer success platform that analyzes meeting transcripts and customer conversations into actionable insights. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Daisy when recording and transcribing meetings privately on a mac without cloud upload matters most, and Velaris when teams spotting early churn risk from meeting and message signals 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.
Customer success platform that analyzes meeting transcripts and customer conversations into actionable insights.
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
Velaris is an AI customer success platform that consolidates account health, product usage, and engagement signals, and includes capabilities for capturing and analyzing customer conversations. Its meeting and communication analysis can listen to meetings, create follow-up tasks, and turn meeting transcripts, emails, and chats into structured insights, surfacing context that would otherwise stay buried in call recordings and inboxes. Features such as call analysis and conversation summaries reduce the manual effort customer success managers spend recapping calls, while topic and signal dashboards highlight early churn risk, product feedback, and expansion opportunities across accounts. Velaris is built for customer success and account management teams at B2B SaaS companies with recurring revenue, where understanding the substance of customer meetings is central to retention. The platform integrates with many other tools so conversation insights connect to the broader customer record. It is actively operating in 2025 and 2026, with current customer logos, active integrations, and recent industry recognition, positioning its meeting analysis as part of a vertical customer success workflow. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Daisy is a free tier with paid upgrades (freemium); Velaris is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | Velaris |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | Analysis of customer meeting transcripts and conversations |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | Automatic follow-up task creation from meetings |
| Team usage | Structured AI notes with action items and follow-ups | Conversation summaries that reduce manual recap work |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | Topic and signal dashboards for churn and expansion cues |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | Integrations with many customer success and communication tools |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | Analysis of customer meeting transcripts and conversations |
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.
Velaris
Choose Velaris if you need cs managers turning customer calls into structured follow-ups — strengths include connects meeting insights to overall account health.
Daisy
Velaris
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while Velaris is strong for cs managers turning customer calls into structured follow-ups. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and Velaris is a free tier with paid upgrades. 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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