> For the complete documentation index, see [llms.txt](https://docs.mozilla.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.mozilla.ai/llamafile/whisperfile/index.md).

# Overview

Whisperfile is a high-performance speech-to-text tool built on [whisper.cpp](https://github.com/ggerganov/whisper.cpp) by Georgi Gerganov, et al., and [OpenAI's Whisper](https://github.com/openai/whisper) model weights.

Whisperfile bundles the binary and model weights into a **single self-contained executable** that runs on Linux, macOS, and Windows without installation.

## Quick Start

```sh
# transcribe a local audio file
whisperfile -m whisper-tiny.en-q5_1.bin audio.wav

# translate non-English speech to English
whisperfile -m ggml-medium-q5_0.bin -f audio.ogg --translate

# start the HTTP server
whisper-server -m whisper-tiny.en-q5_1.bin --port 8080
```

## Features

* Transcribes WAV, MP3, FLAC, and Ogg Vorbis audio
* GPU acceleration via Apple Metal, NVIDIA CUDA, and AMD ROCm
* Translates speech from any language into English
* HTTP server with a REST API for remote transcription
* Pack the binary and model weights into a single portable executable

## Documentation

* [Getting Started](/llamafile/whisperfile/getting-started.md)
* [Packaging](/llamafile/whisperfile/packaging.md)
* [Using GPUs](/llamafile/whisperfile/gpu.md)
* [Speech Translation](/llamafile/whisperfile/translate.md)
* [Server](/llamafile/whisperfile/server.md)


---

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