# Uberi/speech_recognition

Speech recognition module for Python, supporting several engines and APIs, online and offline.

Repository: https://github.com/Uberi/speech_recognition
Canonical: https://ross.abutalabs.com/products/speech_recognition
Homepage: https://pypi.python.org/pypi/SpeechRecognition/
Language: Python
License: BSD-3-Clause
License Family: permissive
Topics: python, audio, speech-recognition, speech-to-text
Last push: 2026-07-31T14:23:35+00:00

## Health v2 (maintenance only)
Score: 94/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 89, longevity 100
- inputs: {"age_days": 4515, "days_push": 33, "days_rel": 77, "gap_med": 20, "n_releases_24m": 16}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 8987, forks 2416 (observed 2026-08-28T04:10:26.664073+00:00)

## What it is
A Python library for performing speech recognition with support for multiple engines and APIs, both online (Google, Azure, Wit.ai, OpenAI Whisper API) and offline (CMU Sphinx, Vosk, Whisper). It provides a unified interface for capturing audio from microphones or files and transcribing it.

## Use cases
- transcribe audio files to text in python
- convert microphone speech to text
- offline speech recognition without cloud APIs
- add voice commands to a python app
- transcribe recordings using whisper
- build a voice assistant that listens to the mic

## When to choose
- you need a single unified API across many speech recognition engines
- you want to switch between cloud and offline transcription easily
- you're prototyping voice input in Python

## When to avoid
- you need speaker diarization or meeting-level transcription features
- you need streaming real-time ASR at scale in production
- you work outside Python

## Facets
- artifact type: library
- maturity: active
- function: speech-recognition, audio-processing, nlp
- domain: speech-processing
- platform: python, cross-platform
- tags: speech-to-text, transcription, microphone, whisper, vosk, cmu-sphinx, offline-speech-recognition, natural-language-processing, audio

## Member repositories
- Uberi/speech_recognition (main) score 94

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:26.664073+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 2026-08-29T17:24:23.155742+00:00, confidence not recorded.
  - readme: https://github.com/Uberi/speech_recognition (fetched 2026-08-28T04:10:26.664073+00:00, sha 871734391bd3)
  - homepage: https://pypi.python.org/pypi/SpeechRecognition/ (fetched 2026-08-29T08:24:26.297834+00:00, sha e9246fa557ea)
- Data as of 2026-08-30T08:39:29.467469+00:00.