> ## Documentation Index
> Fetch the complete documentation index at: https://handbook.aiql.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Speech-to-text

> Transcription of audio and video into convert

The **speech-to-text** model turns spoken audio into transcript text. Convert on the [Middleware API](/products/middleware) uses it for audio files and for the soundtrack of video. The transcript then follows the same split, shape, and extract path as any other source.

## Parameters

The production ASR model is language-model speech recognition. It is multilingual. Language can be pinned per ingest.

| Parameter | Value                                                                                             |
| --------- | ------------------------------------------------------------------------------------------------- |
| Kind      | Language-model automatic speech recognition                                                       |
| Input     | Audio (`mp3`, `wav`, `m4a`) and video soundtrack (`mp4`, `mov`)                                   |
| Languages | Multilingual. ISO language codes can be pinned. Each pinned code produces its own transcript page |
| Biasing   | Domain terms and proper nouns can be supplied so recognition prefers them                         |
| Output    | Transcript text into convert                                                                      |

## Configuration

| Setting  | How it is configured                                                                                 |
| -------- | ---------------------------------------------------------------------------------------------------- |
| Convert  | Audio and video sources are transcribed before split, shape, and extract.                            |
| Language | Callers can pin one or more ISO codes. Unpinned language is auto-detected where the model allows it. |
| Serving  | AiQL selects the checkpoint. Customers do not pick a speech-to-text model.                           |