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

# Transcription

> Transcribe audio to text using OpenAI. Supports various models and optional timestamps.

## Overview

Transcribe audio to text using OpenAI. Supports various models and optional timestamps.

* **Output Type**: string
* **Estimated Cost**: 5 credits
* **Handler**: modal

## Parameters

### Required Parameters

<ParamField body="audio" type="audio" required>
  Audio to transcribe (e.g., mp3, mp4, wav, m4a). Max filesize is 25MB.

  * Label: Input audio
</ParamField>

### Optional Parameters

<ParamField body="model" type="string" default="gpt-4o-mini-transcribe">
  The OpenAI model to use for transcription. If timestamps are enabled, 'whisper-1' will be used regardless of this setting.

  <Tip>
    For the absolute best results, use gpt-4o-transcribe.
  </Tip>

  * Label: Transcription Model
  * Options: `gpt-4o-transcribe`, `gpt-4o-mini-transcribe`, `whisper-1`
</ParamField>

<ParamField body="use_timestamps" type="boolean" default={false}>
  Whether to include timestamps. If true, 'whisper-1' model will be used automatically.

  * Label: Enable Timestamps
</ParamField>

<ParamField body="timestamp_granularity" type="string" default="segment">
  The granularity of the timestamps to include in the transcription.

  * Label: Timestamp Granularity
  * Options: `segment`, `word`
</ParamField>

<ParamField body="prompt" type="string">
  Optional text to guide the model's style or improve recognition of specific words/acronyms.

  * Label: Prompt
</ParamField>