QuintinShaw/openasr
β² +5 β this week
Local-first speech-to-text: no cloud, no telemetry, fail-closed by design. One CLI, seven model families, signed model catalog, OpenAI-compatible local API.
ποΈ Offline audio transcription with Whisper.
$ git clone https://github.com/aza-ali/speech-to-text-in-python.gitβ² +5 β this week
Local-first speech-to-text: no cloud, no telemetry, fail-closed by design. One CLI, seven model families, signed model catalog, OpenAI-compatible local API.
Obsidian plugin to create high-quality transcriptions from markdown linked audio files
GUI for FasterβWhisperβXXL transcription tool: download YouTube audio, transcribe local files, manage models, and export multiple formats with themes and auto ytβdlp updates.
Multi-backend whisper app. Blazing fast. Mac-arm optimized. Easy install. Input a local file or url and this service will transcribe it using Whisper AI. Completely private and Free π€―π€―π€―
Whisper-Flow is a framework designed to enable real-time transcription of audio content using OpenAIβs Whisper model. Rather than processing entire files after upload (βbatch modeβ), Whisper-Flow accepts a continuous stream of audio chunks and produces incremental transcripts immediately.
Data from GitHub Β· snapshot Nov 13, 2026