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. WhisperLiveKit: Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Daglo when korean teams turning meeting recordings into structured summaries and action items matters most, and WhisperLiveKit when building privacy-first transcription into custom applications via compatible apis matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
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.
Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription.
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
WhisperLiveKit is an open-source, self-hosted toolkit for ultra-low-latency real-time speech-to-text and speaker diarization. Rather than naively running Whisper on each audio chunk, it uses state-of-the-art simultaneous-speech research for intelligent buffering and incremental processing, which preserves transcription quality while streaming results with minimal latency. The project ships a complete backend built on FastAPI with WebSocket support, an OpenAI-compatible REST API, a Deepgram-compatible WebSocket protocol, and a simple, customizable HTML and JavaScript web interface that captures microphone audio and streams it to the server. It supports multiple ASR backends including Whisper variants, Voxtral, and Qwen3-ASR, covers 200+ languages with translation, and includes real-time speaker diarization and voice activity detection to reduce processing overhead. It can handle multiple concurrent users on a single backend and is distributed via PyPI with Docker images for both GPU and CPU. Licensed under Apache 2.0 and actively maintained into 2026, the project explicitly lists meeting transcription, accessibility tooling, and podcast or call transcription with speaker identification among its intended use cases, making it a practical building block for private, on-premise meeting transcription pipelines. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Daglo is a free tier with paid upgrades (freemium); WhisperLiveKit is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Daglo | WhisperLiveKit |
|---|---|---|
| Core capability | Recording and file-upload transcription with AI summaries | Real-time streaming speech-to-text with low latency over WebSocket |
| Standout feature | Strong Korean speech recognition for technical and academic content | Real-time speaker diarization to distinguish multiple speakers |
| Team usage | AI chat to query and analyze recordings | FastAPI backend with OpenAI-compatible REST API and Deepgram-compatible WebSocket protocol |
| Integrations | Template-based summaries for different meeting types | Multiple ASR backends (Whisper variants, Voxtral, Qwen3-ASR) and 200+ language support with translation |
| Languages & capture | Keyword extraction, quiz generation, and slide-deck generation | Included customizable HTML/JavaScript web interface and Docker images (GPU and CPU) |
| Best-fit workflow | Support for roughly 14-16 languages plus document translation | Voice activity detection and multi-user support on a single backend |
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.
WhisperLiveKit
Choose WhisperLiveKit if you need self-hosted real-time meeting transcription with speaker labels — strengths include fully open source (apache 2.0) and self-hostable for private, on-premise transcription.
Daglo
WhisperLiveKit
It depends on your workflow. Daglo is strong for korean teams turning meeting recordings into structured summaries and action items, while WhisperLiveKit is strong for self-hosted real-time meeting transcription with speaker labels. Both transcribe and summarize meetings.
Daglo is a free tier with paid upgrades and WhisperLiveKit 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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