# Transcribe a podcast episode to timestamped text

**Use case:** 

Turn a podcast episode into clean text with timestamps and paragraph breaks. Billed per minute of speech, not file length. No API key.

## Input

```json
{
  "mediaUrls": [
    "https://archive.org/download/aesop_fables_volume_one_librivox/fables_01_00_aesop_64kb.mp3"
  ],
  "model": "base",
  "outputFormats": [
    "text",
    "paragraphs"
  ],
  "includeSegments": true,
  "chunkForRag": false,
  "chunkSize": 1200,
  "chunkOverlap": 120,
  "maxMinutesPerFile": 0
}
```

## Output

```json
{
  "filename": {
    "label": "File",
    "format": "string"
  },
  "language": {
    "label": "Lang",
    "format": "string"
  },
  "durationSeconds": {
    "label": "Duration (s)",
    "format": "number"
  },
  "speechSeconds": {
    "label": "Speech (s)",
    "format": "number"
  },
  "text": {
    "label": "Transcript",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Audio & Video Transcriber - Speech to Text, SRT & Timestamps](https://apify.com/readable_slash/audio-video-transcriber) with a specific input configuration. Visit the [Actor detail page](https://apify.com/readable_slash/audio-video-transcriber) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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This Task's input is already configured above — use it as-is rather than inventing a new one.

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/readable_slash/audio-video-transcriber.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).