Documentation
Learn NeuroBridgeEDU.
A short, curated set of docs covering the things you'll actually want to know — how to install it, how it works, how to fix the common gotchas, and what's coming next.
Start here
The three docs that cover most questions.
Getting started
Getting started
How installation will work at launch: download a model on first launch, then make your first recording in minutes.
Read
Concepts
How it works
The pipeline from microphone to summary: Whisper transcription runs locally on every platform, and Built-in AI summaries run on-device on macOS, Windows, and Linux.
Read
Reference
Features
Recording, transcription, summarisation, search, exam-radar, and the rest of the surface — what each one does and when to reach for it.
Read
Help
Troubleshooting
Common problems and how to fix them, in the order people usually hit them. Recording, transcription, summarisation, the lot.
Read
All docs
Browse by category.
Six pages, one curated index. The full docs collection — all twenty-plus markdown files — lives on GitHub.
Quick answers
Common questions
If you're new and want to get oriented fast — start here.
Where do I start?
Read Getting started first — it walks you through install, first-launch model download, and your first recording. Most users are productive within ten minutes.
Is the app open source?
Yes — under our non-commercial open source licence. Source is on GitHub at EmminiX/NeuroBridge-EDU-OpenSource. Free for individuals and educational institutions; commercial licensing is a separate conversation.
Does it work offline?
Yes. Recording, Whisper transcription, and Built-in AI summaries all work offline on every platform after the model download. Ollama (local) and optional Pro cloud are additional provider choices when you want them.
Where is my data stored?
Locally on your device. Recordings are WAV files; transcripts and summaries live in a SQLite database in the OS application support directory. The full storage path and API-key storage model are documented in Privacy and data.
I'm stuck. Where do I get help?
Three places, in order of usefulness for most issues:
- Troubleshooting — covers the most common issues with the fixes.
- Support FAQ — shorter, more product-level questions.
- Open a GitHub issue or email us — see the contact page.
Which languages does it support?
Whisper supports many transcription languages on every platform. EuroLLM 9B is the Built-in AI option for European language mixing and code-switching, with Mistral particularly strong on French and major European languages, and it runs on-device on macOS, Windows, and Linux. The interface is available in 32 European languages, selectable in Settings.
Looking for the source?
The full documentation lives on GitHub.
The pages here are a curated subset edited for the public marketing surface. The complete source — including internal architecture notes and per-feature documentation — is in the open-source repo.