VoiceInk - Advanced AI Voice Recognition for Mac

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.

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…

Introducing Whisper – an open source voice note taking app! Record voice notes and transcribe them into lists, blogs, & more with AI. 100% free & open source. https://t.co/UZWGkUDJ6d

Introducing Whisper – an open source voice note taking app!Record voice notes and transcribe them into lists, blogs, & more with AI.100% free & open source. pic.twitter.com/UZWGkUDJ6d— Hassan (@nutlope) July 22, 2025

DeepL AI Platform: Translation, Voice & API

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

Voice AI & Voice Agents | An Illustrated Primer

A comprehensive guide to voice AI in 2026

How OpenAI delivers low-latency voice AI at scale

How OpenAI rebuilt its WebRTC stack to power real-time Voice AI with low latency, global scale, and seamless conversational turn-taking.

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.

Ivan Fioravanti ᯅ on Twitter / X

Playing with Qwen3-TTS is and MLX-Audio locally on Mac Studio M3 Ultra 🔥Amazing model by @Alibaba_Qwen and great work by @Prince_Canuma bringing this magic to MLX!Tuning the voice with instructions feels like magic!Command and prompts to run it are in the video. pic.twitter.com/qIfWKOedXr— Ivan Fioravanti ᯅ (@ivanfioravanti) January 23, 2026

MacPaw Partners with Liquid AI to Bring On-Device AI to Millions of Mac Users — Blog

MacPaw partners with Liquid AI to bring private, fast, on-device AI to millions of Mac users, starting with the Eney assistant for macOS.

\robotoslablightdots.tts Technical Report

Text-to-speech (TTS) systems have largely solved intelligibility on standard read-speech benchmarks. What users expect from a modern system is broader: expressive and controllable output, real-time synthesis, and coverage of neutral reading, emotional dialogue, paralinguistic events, singing, and general audio. Current systems pursue this goal along three roughly distinct technical routes, and each route has its own unresolved problem.

The future of Siri, or: why private inference isn’t private enough

Yesterday Apple announced a big step towards deploying real AI in their Siri ecosystem. In most ways this is good and inevitable: Siri is one of the world’s most widely-used voice agents, and…

Apple’s accessibility features add more AI-powered processing

Apple’s adding AI-generated subtitling for any video.

Arthur-Ficial/apfel

The free AI already on your Mac. CLI tool, OpenAI-compatible server, and interactive chat — all on-device via Apple Intelligence. No API keys, no cloud, no downloads.