# midas-research/audino

Open source audio annotation tool for humans

Repository: https://github.com/midas-research/audino
Canonical: https://ross.abutalabs.com/products/audino
Language: TypeScript
License: NOASSERTION
License Family: other
Topics: audio-processing, speech-processing, machine-learning, annotation-tool, audio-annotation, python, datasets
Last push: 2026-02-03T14:08:58+00:00

## Health v2 (maintenance only)
Score: 52/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 65, release rhythm 8, longevity 100
- inputs: {"age_days": 2526, "days_push": 211, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1146, forks 141 (observed 2026-08-28T04:03:45.809009+00:00)

## What it is
Audino is an open-source, self-hosted web application for annotating audio, supporting transcription, labeling, and speaker-related tasks. It is designed to build datasets for speech and audio machine learning tasks such as VAD, diarization, ASR, and emotion recognition.

## Use cases
- annotate audio clips for voice activity detection datasets
- transcribe speech recordings for ASR training data
- label speakers for diarization and speaker identification
- create emotion recognition datasets from audio
- manage annotation projects and tasks across a team
- export labeled audio data in standard formats

## When to choose
- you need a free, self-hosted alternative to commercial audio annotation platforms
- you are building speech or audio ML datasets and need transcription plus labeling
- you want multi-user project, task, and job management for annotation work

## When to avoid
- you need image or video annotation rather than audio
- you want a fully polished, stable release and cannot tolerate an actively evolving v2.0
- you cannot run Docker-based deployments

## Facets
- artifact type: application
- maturity: active
- function: audio-processing, speech-recognition, machine-learning, data-generation
- domain: speech-processing, machine-learning, data-science
- platform: self-hosted
- tags: audio-annotation, annotation-tool, transcription, labeling, vad, diarization, speech-datasets, audio, docker, web-server

## Member repositories
- midas-research/audino (main) score 52

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:45.809009+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 2026-08-30T06:34:11.432937+00:00, confidence not recorded.
  - readme: https://github.com/midas-research/audino (fetched 2026-08-28T04:03:45.809009+00:00, sha 2b1228d8631d)
- Data as of 2026-08-30T08:39:29.467469+00:00.