Open-source speech recognition model, not an app you sign in to
Whisper is OpenAI's open-source automatic speech recognition model, published with code and weights rather than as a finished product. It transcribes and translates audio in a wide range of languages, handles noisy recordings and accents better than many older systems, and ships in several sizes so you can trade accuracy against speed. Because it is a model, you use it through something else: the hosted API, a desktop app, or a local install with a wrapper. That flexibility is the point, and it also means setup is your responsibility.
Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.
local transcription, subtitle generation, research on speech models and offline captioning
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Not by itself. It is a model with code and weights, so you run it through the API, a command line install, or one of the many desktop and web apps that wrap it. Choosing that wrapper determines the interface you actually see.
Yes, once the model is downloaded and running locally no network connection is needed, which is why it is popular for confidential recordings. You pay in hardware instead, since larger models are slow on weaker machines.
Quality is strong for a freely available model, but it varies by language and recording quality, and translation into English is less reliable than plain transcription. Reviewing output before publishing is still standard practice.
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