Open source voice cloning. Local-first. Free forever.
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
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…
Serving Voice AI at $1/hr: Open-source, LoRAs, Latency, Load Balancing - Neil Dwyer, Gabber
Voice AI & Voice Agents | An Illustrated Primer
A comprehensive guide to voice AI in 2026
Stream: Private Voice Ring — Notes, Chat, Dictation
Experience Stream — the private voice ring for everything on your mind. Pre-order today
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.
OpenAI's WebRTC Problem - Media over QUIC
Media over QUIC: There are ways to do voice AI without being traumatized by WebRTC.
Building Effective Voice Agents — Toki Sherbakov + Anoop Kotha, OpenAI
DeepL AI Platform: Translation, Voice & API
Explore our AI suite and get more done: Translate speech, text, and media, or integrate the DeepL API.
Dialog DB "Serverless" Replication Demo
Announcing transcribe.cpp
Meet transcribe.cpp, a new open-source C/C++ speech-to-text inference library with portable, GPU-accelerated support for multiple STT models. Developed through Mozilla.ai's Builders in Residence program, it makes adding fast, local transcription to applications easier than ever.
Why MLX — Prince Canuma, Neywa Labs
Pipecat Cloud: Enterprise Voice Agents Built On Open Source - Kwindla Hultman Kramer, Daily
VoiceTra - NICT
VoiceTra is a speech translation app that translates your speech into different languages.
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.