WhisperLiveKit and joinly are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. 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. joinly: Open-source, self-hostable connector that lets AI agents join Google Meet, Zoom, and Microsoft Teams calls to transcribe, listen, and act in real time via MCP. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
How Hosiqo compares and tests toolsFinal recommendation
For ai-meeting-assistants workflows, shortlist WhisperLiveKit when self-hosted real-time meeting transcription with speaker labels matters most, and joinly when building custom ai meeting agents that answer questions and run tasks during live calls matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription.
Open-source, self-hostable connector that lets AI agents join Google Meet, Zoom, and Microsoft Teams calls to transcribe, listen, and act in real time via MCP.
WhisperLiveKit is a free tier with paid upgrades (freemium); joinly is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | WhisperLiveKit | joinly |
|---|---|---|
| Core capability | Real-time streaming speech-to-text with low latency over WebSocket | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Real-time speaker diarization to distinguish multiple speakers | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | FastAPI backend with OpenAI-compatible REST API and Deepgram-compatible WebSocket protocol | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Multiple ASR backends (Whisper variants, Voxtral, Qwen3-ASR) and 200+ language support with translation | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Included customizable HTML/JavaScript web interface and Docker images (GPU and CPU) | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Voice activity detection and multi-user support on a single backend | Docker-based self-hosting with optional CUDA GPU image |
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.
joinly
Choose joinly if you need building custom ai meeting agents that answer questions and run tasks during live calls — strengths include fully open source (mit) and self-hostable for complete data control.
WhisperLiveKit
joinly
It depends on your workflow. WhisperLiveKit is strong for self-hosted real-time meeting transcription with speaker labels, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
WhisperLiveKit is a free tier with paid upgrades and joinly 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 and the budget is justified.