speech-to-text

Creating a software for automatic monitoring in online proctoring

Real-time transcription using faster-whisper

A native macOS menu bar dictation app using local speech-to-text with WhisperKit

Fast, private, local-first voice app for Apple Silicon Macs — dictation, file/media transcription, meeting recording, Transforms, and a public automation CLI. Free and open-source.

An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine

An open-source on-device voice IME (keyboard) for Android using the Vosk library.

A Python library for solving reCAPTCHA v2 and v3 with Playwright

C++ ggml runtime hub for multilingual ASR and TTS models: Cohere Transcribe, Parakeet TDT, Voxtral, Canary 1B v2, etc, plus universal forced alignment, and more

A modular node-programming language, program creator, animation system, toolkit, router, and debugger made for VRChat

🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI

한국어 음성인식 STT API 리스트. 각 성능 벤치마크.

The J.A.R.V.I.S. Speech API is designed to be simple and efficient, using the speech engines created by Google to provide functionality for parts of the API. Essentially, it is an API written in Java, including a recognizer, synthesizer, and a microphone capture utility. The project uses Google services for the synthesizer and recognizer. While this requires an Internet connection, it provides a complete, modern, and fully functional speech API in Java.

This is a list of features, scripts, blogs and resources for better using Kaldi ( http://kaldi-asr.org/ )

A speech recognition library running in the browser thanks to a WebAssembly build of Vosk

Phonetisaurus G2P

This tool uses AI to evaluate your pronunciation.

Open source, local, and self-hosted highly optimized language inference server supporting ASR/STT, TTS, and LLM across WebRTC, REST, and WS

open source audio and video transcription software

VOSK Speech Recognition Toolkit

Lightning-fast, free, local first voice dictation for macOS with on-device transcription