Uberi/speech_recognition

DeepL AI Platform: Translation, Voice & API

Explore our AI suite and get more done: Translate speech, text, and media, or integrate the DeepL API.

Realtime and audio | OpenAI API

Learn which realtime and audio guide to use for each speech application.

voiceome.org

Find information, resources and relevant links for voiceome.org. This domain may be for sale.

Human Programming Interface | beepb00p

My life in a Python package

OpenAI.fm

An interactive demo for developers to try the latest text-to-speech model in the OpenAI API

Handy

Handy is a cross platform, open-source, speech-to-text application for your computer

VoiceInk - Advanced AI Voice Recognition for Mac

Transform Your Voice Into Text Instantly with Offline AI. Built for Mac, Optimized for Privacy. One-Time Purchase, No Subscriptions.

Real-Time Engagement & Conversational AI Platform | Agora

Build ultra-low latency voice, video, chat, and voice AI experiences for meaningful human-to-human and human-to-AI conversations, with flexible APIs and no-code & low-code tools.

Hex: local voice dictation

Private, local voice dictation. Hold the shortcut, speak, and release.

Superwhisper — AI Voice to Text for macOS, Windows & iOS

AI powered voice to text for macOS, Windows, and iOS. Dictate in any app with offline and cloud speech recognition, 100+ languages, and custom AI modes.

Local AI, together

Moss now turns speech into text on your own computer, and Presence uses it so a whole call gets transcribed with nobody’s voice leaving their machine. Any Moss tool can use it.

ICML WhisperKit: On-device Real-time ASR with Billion-Scale Transformers

Real-time Automatic Speech Recognition (ASR) is a fundamental building block for many commercial applications of ML, including live captioning, dictation, meeting transcriptions, and medical scribes. Accuracy and latency are the most important factors when companies select a system to deploy. We present WhisperKit, an optimized on-device inference system for real-time ASR that significantly outperforms leading cloud-based systems. We benchmark against server-side systems that deploy a diverse set of models, including a frontier model (OpenAI gpt-4o-transcribe), a proprietary model (Deepgram nova-3), and an open-source model (Fireworks large-v3-turbo).Our results show that WhisperKit matches the lowest latency at 0.46s while achieving the highest accuracy 2.2\% WER. The optimizations behind the WhisperKit system are described in detail in this paper.

Voice AI & Voice Agents | An Illustrated Primer

A comprehensive guide to voice AI in 2026

Launching a free, open-source, on-device transcription app

TL;DR – Please try Moonshine Note Taker on your Mac! For years I’ve been telling people that AI wants to be local, that on-device models aren’t just a poor man’s alternative…