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Whisper is an open-source AI-powered speech recognition system developed by OpenAI

Official

Whisper.cpp - Port of Whisper in C++.
- Bindings for many languages
WhisperX - Adds fast automatic speaker recognition with word-level timestamps and speaker diarization.
faster-whisper - Faster reimplementation of Whisper using CTranslate2.
Whisper JAX - JAX implementation of Whisper for up to 70x speed-up on TPU.
whisper-timestamped - Adds word-level timestamps and confidence scores.
whisper-openvino - Whisper running on OpenVINO.
whisper.tflite - Whisper running on TensorFlow Lite.
Whisper variants - Various Whisper variants on Hugging Faces.
Whisper-AT - Whisper that can recognize non-speech audio events in addition to speech.

Aiko - Audio transcription iOS and macOS app.
MacWhisper - Audio transcription macOS app. (Freemium)
Whisper Memos - Audio transcription iOS app. (Freemium)
FourYou - Audio journal iOS app.
Jojo Transcribe - Audio transcription macOS app.
Buzz - Audio transcription and translation macOS app.
WhisperScript - Audio transcription macOS app. (Freemium · Electron)
Audio Podium - Audio/video management macOS app.
superwhisper - Global audio transcription macOS menu bar app.
Speech Note - Audio transcription Linux app.
FridayGPT - Dictation macOS app powered by OpenAI API.
EasyWhisper - Windows and macOS app for audio transcription and speaker diarization. (Freemium)

Subs AI - Subtitle generation.
WaaS - GUI and API for Whisper.
writeout.ai - Laravel app to transcribe and translate audio files.
Meeper - Transcriptions, summary and more for meetings and any browser tab. (Chrome app)

yt-whisper - YouTube subtitle generation.
phonix - Generate captions for videos.
whisper-standalone-win - Standalone Windows executable for Whisper and Faster Whisper.
whisper-ctranslate2 - Whisper command-line tool based on CTranslate2, compatible with the original.
insanely-fast-whisper-cli - Achieve transcription speeds near 30x real-time with several optimizations.
whisper-diarization - Automatic speech recognition with speaker diarization.

Whispers of A.I.’s Modular Future - The future of machine learning lies in adaptable and accessible open-source speech-transcription programs.
How to Run Whisper Speech Recognition Model - Explains how to install and run the model, as well as providing a performance analysis comparing Whisper to other models.
Create your own speech to text app using Flask - The tutorial demonstrates Whisper’s speech-to-text model, with a demo on running it in a Gradient Notebook and a guide for setting up a Flask app with Gradient Deployments.
Convert Podcasts to Text - Tutorial on the Whisper API with Python for speech-to-text transcription, showcasing GPU’s faster transcription and advanced technology.

APIs that use Whisper.

Whisper+ - Extension of the Whisper model which adds powerful features such as speaker identification custom vocabulary, summarization, and chapter generation.
Replicate - Use Whisper running on Replicate.