Shadow and aTrain are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Shadow: A bot-free, Mac-based AI meeting assistant that transcribes and summarizes calls locally without joining as a participant. 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 Shadow when capturing notes and summaries across multiple conferencing platforms without a bot joining 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.
A bot-free, Mac-based AI meeting assistant that transcribes and summarizes calls locally without joining as a participant.
Bot-free capture that records system audio without joining the meeting as a participantCaptures on-screen content in addition to spoken audioCustomizable prompts/Skills to generate notes, summaries, and emails
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
Shadow 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.
Bot-free capture that records system audio without joining the meeting as a participant
Offline, fully local transcription with no data leaving the device
Standout feature
On-device (local) transcription on macOS
Built on OpenAI Whisper via the faster-whisper engine
Team usage
Speaker identification during transcription
Speaker detection/diarization using pyannote.audio
Integrations
Captures on-screen content in addition to spoken audio
Exports compatible with MAXQDA, ATLAS.ti, and NVivo
Languages & capture
Customizable prompts/Skills to generate notes, summaries, and emails
Graphical interface requiring no programming skills
Best-fit workflow
Webhook integration to connect outputs to other tools
NVIDIA GPU acceleration support
Best for
Shadow
Choose Shadow if you need capturing notes and summaries across multiple conferencing platforms without a bot joining — strengths include does not add a visible bot to meetings.
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
Shadow
+ Does not add a visible bot to meetings
+ Local transcription keeps core audio processing on the device
- Works on recorded files rather than live meeting capture
FAQ
Is Shadow or aTrain better for AI meeting notes?
It depends on your workflow. Shadow is strong for capturing notes and summaries across multiple conferencing platforms without a bot joining, while aTrain is strong for researchers transcribing recorded interviews for qualitative analysis. Both transcribe and summarize meetings.
How do Shadow and aTrain compare on price?
Shadow 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 Shadow and aTrain?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.