# Extract Audio & Video Transcripts

**Use case:** 

Extract timestamped speech-to-text from a public audio or video URL with Whisper, including transcript text, language, duration, segments, SRT, and VTT files.

## Input

```json
{
  "mediaUrls": [
    {
      "url": "https://raw.githubusercontent.com/ggml-org/whisper.cpp/master/samples/jfk.wav?apia7120=final013-small-1"
    }
  ],
  "maxEpisodesPerFeed": 5,
  "language": "en",
  "model": "base.en",
  "task": "transcribe",
  "maxMinutesPerItem": 1
}
```

## Output

```json
{
  "inputUrl": {
    "label": "Input URL",
    "format": "string"
  },
  "sourceType": {
    "label": "Source type",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "uploader": {
    "label": "Uploader",
    "format": "string"
  },
  "durationSeconds": {
    "label": "Duration (s)",
    "format": "number"
  },
  "transcribedSeconds": {
    "label": "Transcribed (s)",
    "format": "number"
  },
  "language": {
    "label": "Detected language",
    "format": "string"
  },
  "languageProbability": {
    "label": "Language confidence",
    "format": "number"
  },
  "task": {
    "label": "Task",
    "format": "string"
  },
  "text": {
    "label": "Transcript",
    "format": "string"
  },
  "wordCount": {
    "label": "Words",
    "format": "integer"
  },
  "feedUrl": {
    "label": "Feed origin",
    "format": "string"
  },
  "feedGuid": {
    "label": "Feed episode ID",
    "format": "string"
  },
  "error": {
    "label": "Error",
    "format": "string"
  },
  "scrapedAt": {
    "label": "Processed",
    "format": "string"
  }
}
```

## About this Actor

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


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

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