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. VALSEA: A speech-intelligence platform that transcribes and analyzes Southeast Asian accented, code-switched voice into structured transcripts with summaries, action items, and sentiment. The right pick comes down to team size, budget, and the workflows you want to automate.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Daisy when recording and transcribing meetings privately on a mac without cloud upload matters most, and VALSEA when converting voice notes and field recordings into action items and crm entries for regional operations teams 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.
A speech-intelligence platform that transcribes and analyzes Southeast Asian accented, code-switched voice into structured transcripts with summaries, action items, and sentiment.
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
VALSEA is a Singapore-built speech-intelligence platform designed to understand Southeast Asian accented and code-switched speech that mainstream models often mishandle. It transcribes audio and turns it into structured output, including annotated transcripts, English conversions, translations, sentiment, and meeting-style notes with action items and decisions. The platform is tuned for Singlish, Malay, Indonesian, Thai, Vietnamese, Filipino, Tamil, and Khmer, plus East Asian languages, and is built for "messy reality" such as WhatsApp compression, Zoom artifacts, and noisy environments rather than studio-quality audio. Users can try an interactive demo on the homepage by selecting a language and recording or uploading audio to see transcription with semantic tagging and sentiment analysis. Beyond raw transcripts, VALSEA emphasizes turning voice into workflows, generating meeting notes for a CRM, assigning action items, and triggering follow-ups. It targets regional SMEs, support and sales teams, field operations, and content creators, and offers REST API, webhooks, a dashboard, and connections to Zapier, Make, and n8n.
Best suited for
Daisy is a free tier with paid upgrades (freemium); VALSEA is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | VALSEA |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | Transcription of Southeast Asian accented and code-switched speech (Singlish, Malay, Thai, Vietnamese, Tamil, Khmer, and more) |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | Semantic tagging plus sentiment and emotion analysis on transcripts |
| Team usage | Structured AI notes with action items and follow-ups | Multilingual translation and plain-English conversion of voice notes |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | Meeting-style structured output: summaries, action items, and documented decisions/owners |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | Robustness to real-world audio (WhatsApp compression, Zoom artifacts, background noise) |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | Workflow automation via REST API, webhooks, dashboard, and Zapier/Make/n8n integrations |
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.
VALSEA
Choose VALSEA if you need transcribing and summarizing customer support or sales calls conducted in mixed southeast asian languages — strengths include specialized handling of southeast asian accents and code-switching that general transcription tools struggle with.
Daisy
VALSEA
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while VALSEA is strong for transcribing and summarizing customer support or sales calls conducted in mixed southeast asian languages. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and VALSEA 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.
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