# Saik0s/Whisperboard

The open-source iOS app that's making quality voice transcription more accessible on mobile devices.

Repository: https://github.com/Saik0s/Whisperboard
Canonical: https://ross.abutalabs.com/products/whisperboard
Language: Swift
License: GPL-3.0
License Family: copyleft
Topics: openai, ios, speech-recognition, speech-to-text, swiftui, transcription, audio-to-text, composable-architecture, tca, tuist, whisper, whisper-cpp
Last push: 2025-12-18T06:51:44+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 57, release rhythm 35, longevity 96
- inputs: {"age_days": 1349, "days_push": 258, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1093, forks 114 (observed 2026-08-28T04:03:33.785363+00:00)

## What it is
WhisperBoard is an open-source iOS app for voice recording and transcription powered by OpenAI's Whisper model running on-device via whisper.cpp. It supports importing/exporting audio files, microphone selection, and downloading arbitrary Whisper models directly in the app.

## Use cases
- transcribe voice memos on iphone
- on-device speech to text app for ios
- record meetings and get transcripts
- convert audio files to text on mobile
- try different whisper models on iphone
- offline voice transcription without cloud

## When to choose
- you need an iOS app for private, on-device transcription
- you want to experiment with different Whisper model sizes on mobile
- you want an open-source, self-buildable transcription app

## When to avoid
- you need real-time streaming transcription (still on the roadmap)
- you need an Android or desktop app
- you need a server-side or batch transcription service

## Facets
- artifact type: application
- maturity: active
- function: speech-recognition, audio-processing, gui
- domain: speech-processing, mobile-development
- platform: -
- tags: whisper, whisper-cpp, transcription, swiftui, composable-architecture, voice-memos, on-device-ai, natural-language-processing, ios, swift, mobile

## Member repositories
- Saik0s/Whisperboard (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:33.785363+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 2026-08-30T06:47:40.576302+00:00, confidence not recorded.
  - readme: https://github.com/Saik0s/Whisperboard (fetched 2026-08-28T04:03:33.785363+00:00, sha f06567cff061)
- Data as of 2026-08-30T08:39:29.467469+00:00.