WhisperLiveKit and aTrain 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. aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. They overlap on ai-meeting-assistants, ai-transcription, 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, ai-transcription workflows, shortlist WhisperLiveKit when self-hosted real-time meeting transcription with speaker labels matters most, and aTrain when researchers transcribing recorded interviews for qualitative analysis 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 offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection.
WhisperLiveKit is a free tier with paid upgrades (freemium); aTrain is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | WhisperLiveKit | aTrain |
|---|---|---|
| Core capability | Real-time streaming speech-to-text with low latency over WebSocket | Offline, fully local transcription with no data leaving the device |
| Standout feature | Real-time speaker diarization to distinguish multiple speakers | Built on OpenAI Whisper via the faster-whisper engine |
| Team usage | FastAPI backend with OpenAI-compatible REST API and Deepgram-compatible WebSocket protocol | Speaker detection/diarization using pyannote.audio |
| Integrations | Multiple ASR backends (Whisper variants, Voxtral, Qwen3-ASR) and 200+ language support with translation | Exports compatible with MAXQDA, ATLAS.ti, and NVivo |
| Languages & capture | Included customizable HTML/JavaScript web interface and Docker images (GPU and CPU) | Graphical interface requiring no programming skills |
| Best-fit workflow | Voice activity detection and multi-user support on a single backend | NVIDIA GPU acceleration support |
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.
aTrain
Choose aTrain if you need researchers transcribing recorded interviews for qualitative analysis — strengths include free and open source under agpl-3.0.
WhisperLiveKit
aTrain
It depends on your workflow. WhisperLiveKit is strong for self-hosted real-time meeting transcription with speaker labels, while aTrain is strong for researchers transcribing recorded interviews for qualitative analysis. Both transcribe and summarize meetings.
WhisperLiveKit is a free tier with paid upgrades and aTrain 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.