Speakr and aTrain are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Speakr: Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search. 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, so the right pick depends on team size, budget, and which meeting workflows you automate.
For ai-meeting-assistants workflows, shortlist Speakr when privacy-conscious teams self-hosting transcription and summaries for internal meetings 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.
Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search.
Configurable AI models compatible with OpenAI, OpenRouter, and local modelsCustomizable summaries plus an action-items view for decisions and tasksMulti-user support with SSO, group workspaces, and admin dashboard
Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection.
Built on OpenAI Whisper via the faster-whisper engineExports compatible with MAXQDA, ATLAS.ti, and NVivoGraphical interface requiring no programming skills
Speakr 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.
Self-hosted transcription with automatic language detection
Offline, fully local transcription with no data leaving the device
Standout feature
Optional AI-powered speaker diarization
Built on OpenAI Whisper via the faster-whisper engine
Team usage
Customizable summaries plus an action-items view for decisions and tasks
Speaker detection/diarization using pyannote.audio
Integrations
Per-recording chat and an Inquire Mode for semantic search across the whole library
Exports compatible with MAXQDA, ATLAS.ti, and NVivo
Languages & capture
System and browser-tab audio capture
Graphical interface requiring no programming skills
Best-fit workflow
Multi-user support with SSO, group workspaces, and admin dashboard
NVIDIA GPU acceleration support
Best for
Speakr
Choose Speakr if you need privacy-conscious teams self-hosting transcription and summaries for internal meetings — strengths include runs entirely on the user's own infrastructure for full data control.
aTrain
Choose aTrain if you need researchers transcribing recorded interviews for qualitative analysis — strengths include free and open source under agpl-3.0.
Pros & cons
Speakr
+ Runs entirely on the user's own infrastructure for full data control
+ Action-item extraction and per-recording chat go beyond plain transcripts
- Current releases are alpha-stage and may not be production-stable
- Works on recorded files rather than live meeting capture
FAQ
Is Speakr or aTrain better for AI meeting notes?
It depends on your workflow. Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings, while aTrain is strong for researchers transcribing recorded interviews for qualitative analysis. Both transcribe and summarize meetings.
How do Speakr and aTrain compare on price?
Speakr 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.
Can I use both Speakr and aTrain?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.
Speakr vs aTrain: Pricing, Features & Recommendation | Hosiqo