# rishikanthc/Scriberr

Self-hosted AI audio transcription

Repository: https://github.com/rishikanthc/Scriberr
Canonical: https://ross.abutalabs.com/products/scriberr
Homepage: https://scriberr.app
Language: Go
License: MIT
License Family: permissive
Topics: ai, audio, transcript, transcription
Last push: 2026-06-01T03:07:49+00:00

## Health v2 (maintenance only)
Score: 70/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 85, release rhythm 62, longevity 49
- inputs: {"age_days": 698, "days_push": 93, "days_rel": 259, "gap_med": 3, "n_releases_24m": 14}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2990, forks 249 (observed 2026-08-28T04:07:34.423566+00:00)

## What it is
Scriberr is an open-source, fully offline audio transcription application designed for self-hosters who value privacy. It transcribes audio locally using AI models and exposes an API.

## Use cases
- transcribe audio recordings offline
- self-hosted alternative to cloud transcription services
- transcribe podcasts and meetings privately
- convert voice memos to text
- run speech-to-text on my own server

## When to choose
- you need private, offline transcription without sending audio to third parties
- you want a self-hosted Whisper-based transcription service with an API
- you value data sovereignty for sensitive recordings

## When to avoid
- you need managed, scalable transcription with guaranteed uptime
- you require real-time streaming transcription with vendor support
- you want actively developed features - development is currently paused

## Facets
- artifact type: application
- maturity: maintenance
- function: speech-recognition, self-hosted, audio-processing, http-server
- domain: speech-processing, self-hosted, privacy
- platform: self-hosted, windows
- tags: whisper, transcription, offline, diarization, go, audio, docker, linux, macos

## Member repositories
- rishikanthc/Scriberr (main) score 70

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:34.423566+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 2026-08-30T07:31:22.551586+00:00, confidence not recorded.
  - readme: https://github.com/rishikanthc/Scriberr (fetched 2026-08-28T04:07:34.423566+00:00, sha f25602bae194)
  - homepage: https://scriberr.app (fetched 2026-08-29T09:46:16.018633+00:00, sha e9e5beb041d9)
- Data as of 2026-08-30T08:39:29.467469+00:00.