# davabase/whisper_real_time

Real time transcription with OpenAI Whisper.

Repository: https://github.com/davabase/whisper_real_time
Canonical: https://ross.abutalabs.com/products/whisper_real_time
Language: Python
License Family: other
Last push: 2025-04-15T22:25:27+00:00

## Health v2 (maintenance only)
Score: 39/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 16, release rhythm 35, longevity 98
- inputs: {"age_days": 1373, "days_push": 505, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2941, forks 476 (observed 2026-08-28T04:07:31.069973+00:00)

## What it is
A Python demo application that performs real-time speech-to-text transcription using OpenAI's Whisper model. It records audio continuously in a background thread and concatenates raw bytes across recordings to produce live transcriptions.

## Use cases
- transcribe microphone audio to text in real time
- live caption speech as it is spoken
- demo real-time speech recognition with Whisper
- convert spoken audio into text on the fly
- build a live dictation tool with Whisper

## When to choose
- you want a simple, minimal real-time Whisper transcription demo
- you need live speech-to-text from a microphone in Python
- you want a starting point to build your own streaming transcription app

## When to avoid
- you need a production-ready transcription service with an API or UI
- you require batch transcription of audio files rather than live input
- you need a licensed, maintained product - this repo has no license and is a demo

## Facets
- artifact type: application
- maturity: active
- function: speech-recognition, audio-processing, streaming
- domain: speech-processing, artificial-intelligence
- platform: python, cross-platform, cli
- tags: whisper, real-time-transcription, speech-to-text, demo, natural-language-processing

## Member repositories
- davabase/whisper_real_time (main) score 39

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:31.069973+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 2026-08-30T07:32:56.968685+00:00, confidence not recorded.
  - readme: https://github.com/davabase/whisper_real_time (fetched 2026-08-28T04:07:31.069973+00:00, sha bb35f5a94ee7)
- Data as of 2026-08-30T08:39:29.467469+00:00.