# aTrainTranscription/aTrain

A GUI tool for offline transcription of speech recordings, including speaker diarization, utilizing state-of-the-art machine learning models.

Repository: https://github.com/aTrainTranscription/aTrain
Canonical: https://ross.abutalabs.com/products/atrain
Language: Python
License: AGPL-3.0
License Family: copyleft
Last push: 2026-08-25T13:56:43+00:00

## Health v2 (maintenance only)
Score: 79/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 56, longevity 76
- inputs: {"age_days": 1065, "days_push": 8, "days_rel": 217, "gap_med": 58, "n_releases_24m": 6}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1205, forks 91 (observed 2026-08-28T04:03:59.149097+00:00)

## What it is
aTrain is a desktop GUI application for offline transcription of speech recordings using Whisper-based machine learning models, with speaker diarization via pyannote.audio. It runs entirely locally to preserve privacy and support GDPR compliance, and is distributed via Flathub and the Microsoft Store.

## Use cases
- transcribe interview recordings offline
- transcribe audio without uploading to the cloud
- add speaker labels to a transcript automatically
- transcribe research interviews in a GDPR-compliant way
- convert meeting recordings to text locally
- transcribe audio in multiple languages on my laptop
- offline speech-to-text for sensitive recordings

## When to choose
- you need transcription of sensitive audio that must never leave your device
- you want a simple GUI instead of scripting Whisper yourself
- you need speaker diarization alongside transcription
- you work with many languages and want local processing

## When to avoid
- you need real-time streaming transcription
- you want a cloud API with high-throughput batch processing
- you need a CLI-only or headless server workflow
- your hardware cannot run local ML models efficiently

## Facets
- artifact type: application
- maturity: active
- function: speech-recognition, gui, machine-learning, nlp
- domain: speech-processing, privacy, desktop-applications, developer-tools
- platform: windows, cross-platform, python
- tags: transcription, whisper, speaker-diarization, offline, gdpr, faster-whisper, pyannote, natural-language-processing, linux, desktop

## Member repositories
- aTrainTranscription/aTrain (main) score 79

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:59.149097+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:19:24.152246+00:00, confidence not recorded.
  - readme: https://github.com/aTrainTranscription/aTrain (fetched 2026-08-28T04:03:59.149097+00:00, sha 1a3458062b4d)
- Data as of 2026-08-30T08:39:29.467469+00:00.