Whisper ASR

What it does

Experience fast, private, and GPU‑accelerated speech‑to‑text with a full Whisper‑powered transcription suite built for creators, developers, and power users. This app brings official OpenAI Whisper models directly to your desktop with seamless Hugging Face Hub integration, resume‑supported downloads, and a clean GGML model browser with a full library—letting you transcribe speech in 100 languages and translate those transcriptions into 136 languages in one seamless flow.

🎙️ Whisper ASR — Audio & Video Transcriber 🎧

Ultra‑fast, on‑device transcription — up to 20× faster than real‑time

22 minutes transcribed in 58 seconds using the fastest GGML Whisper model (~20× real‑time) — GPU-enabled

Experience fast, private, and GPU‑accelerated speech‑to&#

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  Port of OpenAI's Whisper model in C/C++2022 · github.com · ▲399

  Hi HN, OpenAI recently released a model for automatic speech recognition called Whisper [0]. I decided to reimplement the inference of the model from scratch using C/C++. To achieve this I implemented a minimalistic tensor library in C and ported the high-level architecture of the model in C++. The entire code is less than 8000 lines of code and is contained in just 2 source files without any third-party dependencies. The Github project is here: https://github.com/ggerganov/whisper.cpp With this implementation I can very easily build and run the model - “make…

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  Whisper by OpenAI2022 · openai.com · ▲182

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  I made a free transcription service powered by Whisper AI2022 · freesubtitles.ai · ▲224

  Free AI transcription: convert video and audio to text, translate into 120 languages, download SRT, VTT, ASS or TXT, or export the video with subtitles on it.

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  Windows port of OpenAI's Whisper automatic speech recognition model2023 · github.com · ▲43

  This project is a Windows port of the whisper.cpp implementation: https://github.com/ggerganov/whisper.cpp Which in turn is a C++ port of OpenAI's Whisper automatic speech recognition (ASR) model: https://github.com/openai/whisper The implementation has no dependencies, usually much faster than realtime, and should hopefully work on most Windows computers in the world.

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