Natively and aTrain are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Natively: A free, open-source desktop AI meeting assistant offering real-time transcription, structured notes, and on-call answers with local processing and bring-your-own-key support. 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 Natively when capturing real-time transcripts and structured notes from calls without a visible bot 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 free, open-source desktop AI meeting assistant offering real-time transcription, structured notes, and on-call answers with local processing and bring-your-own-key support.
Bring-your-own-key support for Gemini, OpenAI, Claude, and GroqFully local/offline option through Ollama with local data storage by defaultOn-demand AI assist via keyboard shortcut during calls
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
Natively 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.
Real-time transcription with a low-latency Rust-based audio pipeline
Offline, fully local transcription with no data leaving the device
Standout feature
Structured, searchable meeting notes with action items and decisions
Built on OpenAI Whisper via the faster-whisper engine
Team usage
On-demand AI assist via keyboard shortcut during calls
Speaker detection/diarization using pyannote.audio
Integrations
Bring-your-own-key support for Gemini, OpenAI, Claude, and Groq
Exports compatible with MAXQDA, ATLAS.ti, and NVivo
Languages & capture
Fully local/offline option through Ollama with local data storage by default
Graphical interface requiring no programming skills
Best-fit workflow
Works alongside Zoom, Google Meet, and Microsoft Teams without a visible bot
NVIDIA GPU acceleration support
Best for
Natively
Choose Natively if you need capturing real-time transcripts and structured notes from calls without a visible bot — strengths include free and open source with active development.
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
Natively
+ Free and open source with active development
+ Can run entirely offline and store data locally for privacy
- Cloud models require user-supplied API keys and incur external usage costs
- Works on recorded files rather than live meeting capture
FAQ
Is Natively or aTrain better for AI meeting notes?
It depends on your workflow. Natively is strong for capturing real-time transcripts and structured notes from calls without a visible bot, while aTrain is strong for researchers transcribing recorded interviews for qualitative analysis. Both transcribe and summarize meetings.
How do Natively and aTrain compare on price?
Natively 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 Natively and aTrain?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.