Attendee: Open-source, self-hostable meeting bot API that sends bots into Zoom, Google Meet, and Microsoft Teams to capture recordings and transcripts. 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. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Attendee when developers embedding meeting recording and transcription into their own saas products matters most, and WhisperLiveKit when building privacy-first transcription into custom applications via compatible apis matters most. Run both through a week of actual calls to see which suits your workflow.
Open-source, self-hostable meeting bot API that sends bots into Zoom, Google Meet, and Microsoft Teams to capture recordings and transcripts.
Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription.
Attendee is an open-source REST API, developed by Attendee Labs, that abstracts the engineering work of building meeting bots into a single developer-friendly interface. Instead of maintaining separate bot stacks for each video platform, developers send one API request and Attendee dispatches a bot that joins a Zoom, Google Meet, or Microsoft Teams call, then returns recordings, transcripts, and real-time media streams. It is built on widely used, battle-tested technologies such as Django, PostgreSQL, and Redis, and is designed to run from a single Docker image so teams can self-host it on their own infrastructure for data residency, compliance, and cost control. The project documents real-time transcription, webhooks, calendar integration, scheduled meetings, and websocket audio input/output. Because it is open source and self-hosted, organizations in regulated industries can keep meeting audio and transcripts inside their own environment rather than routing them through a third-party vendor. The repository is actively maintained with frequent releases, and the project markets itself as a lower-cost alternative to closed-source meeting-bot platforms for developers who want to embed meeting capture and transcription into their own applications. 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
Attendee 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 | Attendee | WhisperLiveKit |
|---|---|---|
| Core capability | Unified REST API for deploying bots to Zoom, Google Meet, and Microsoft Teams | Real-time streaming speech-to-text with low latency over WebSocket |
| Standout feature | Meeting recording and transcript retrieval through API endpoints | Real-time speaker diarization to distinguish multiple speakers |
| Team usage | Real-time media pipeline with websocket audio input/output | FastAPI backend with OpenAI-compatible REST API and Deepgram-compatible WebSocket protocol |
| Integrations | Webhooks for event-driven workflows | Multiple ASR backends (Whisper variants, Voxtral, Qwen3-ASR) and 200+ language support with translation |
| Languages & capture | Calendar integration and scheduled-meeting support | Included customizable HTML/JavaScript web interface and Docker images (GPU and CPU) |
| Best-fit workflow | Single Docker image self-hosting built on Django, PostgreSQL, and Redis | Voice activity detection and multi-user support on a single backend |
Attendee
Choose Attendee if you need developers embedding meeting recording and transcription into their own saas products — strengths include fully open source and designed for convenient self-hosting, keeping meeting data on your own infrastructure.
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.
Attendee
WhisperLiveKit
It depends on your workflow. Attendee is strong for developers embedding meeting recording and transcription into their own saas products, while WhisperLiveKit is strong for self-hosted real-time meeting transcription with speaker labels. Both transcribe and summarize meetings.
Attendee 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.
More head-to-head comparisons involving Attendee and WhisperLiveKit.
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