Daglo: Korean all-in-one AI notetaker by Action Power that records, transcribes, and summarizes meetings and lectures, with strong Korean recognition and post-recording tools. 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. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Daglo when korean teams turning meeting recordings into structured summaries and action items matters most, and Daisy when feeding meeting transcripts into claude desktop or cursor via a local mcp server matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
Korean all-in-one AI notetaker by Action Power that records, transcribes, and summarizes meetings and lectures, with strong Korean recognition and post-recording tools.
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.
Daglo is a Korean AI notetaking and transcription platform operated by Action Power. It records or ingests audio files and converts them into text with summaries, positioned as an all-in-one tool for both meetings and lectures. Daglo is known for strong Korean speech recognition, particularly in maintaining sentence flow in complex or technical discussions where specialized terms and proper nouns appear frequently, making it popular in academic and business settings. Beyond basic transcription, Daglo emphasizes what it calls post-recording utilization: an AI chat that can analyze recordings and answer questions, template-based summaries tailored to different meeting types, keyword extraction for quick understanding and file organization, automatic quiz generation, slide-deck generation, and document translation. It supports transcription across roughly 14 to 16 languages including Korean and English, allowing it to handle international lectures and multilingual content. Daglo is frequently compared with other Korean services such as Clova Note in head-to-head reviews of Korean AI meeting tools, where it is highlighted for terminology recognition and varied summary templates. The service is actively operating and is described as a representative personal-productivity AI meeting minutes product in Korea, suited to individuals and teams who want to turn recordings into structured, reusable knowledge. Pricing varies by plan. Check the official website for current pricing.
Best suited for
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
Daglo is a free tier with paid upgrades (freemium); Daisy is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Daglo | Daisy |
|---|---|---|
| Core capability | Recording and file-upload transcription with AI summaries | Local recording of mic and system audio from any source via ScreenCaptureKit |
| Standout feature | Strong Korean speech recognition for technical and academic content | On-device transcription with WhisperKit and speaker diarization via Pyannote |
| Team usage | AI chat to query and analyze recordings | Structured AI notes with action items and follow-ups |
| Integrations | Template-based summaries for different meeting types | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP |
| Languages & capture | Keyword extraction, quiz generation, and slide-deck generation | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings |
| Best-fit workflow | Support for roughly 14-16 languages plus document translation | Exports to Notion, Linear, Attio, Slack, or custom webhooks |
Daglo
Choose Daglo if you need korean teams turning meeting recordings into structured summaries and action items — strengths include excellent korean recognition including specialized terminology.
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.
Daglo
Daisy
It depends on your workflow. Daglo is strong for korean teams turning meeting recordings into structured summaries and action items, while Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload. Both transcribe and summarize meetings.
Daglo is a free tier with paid upgrades and Daisy 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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