# Transcribe a speech recording to text and SRT

**Use case:** 

Transcribes a 26-second public-domain speech recording into text with timestamps and SRT and VTT subtitles. Paste your own audio or video URL or podcast RSS feed.

## Input

```json
{
  "mediaUrls": [
    "https://api.apify.com/v2/key-value-stores/sTnmNrGoSsi7tLQvs/records/fdr-1941-26s.ogg"
  ],
  "podcastRssUrls": [
    "https://feeds.npr.org/500005/podcast.xml"
  ],
  "maxEpisodesPerFeed": 1,
  "publishedAfter": "2026-01-01",
  "onlyNewSinceLastRun": false,
  "language": "en",
  "translateTo": "es",
  "chapters": false,
  "maxAudioMinutesPerRun": 600
}
```

## Output

```json
{
  "episodeTitle": {
    "label": "Episode title",
    "format": "string"
  },
  "feedTitle": {
    "label": "Feed title",
    "format": "string"
  },
  "publishedAt": {
    "label": "Published at",
    "format": "string"
  },
  "durationSec": {
    "label": "Duration sec",
    "format": "number"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "wordCount": {
    "label": "Word count",
    "format": "number"
  },
  "text": {
    "label": "Text",
    "format": "string"
  },
  "srtUrl": {
    "label": "SRT",
    "format": "string"
  },
  "vttUrl": {
    "label": "VTT",
    "format": "string"
  },
  "translatedLanguage": {
    "label": "Translated language",
    "format": "string"
  },
  "translatedText": {
    "label": "Translated text",
    "format": "string"
  },
  "translatedSrtUrl": {
    "label": "Translated SRT",
    "format": "string"
  },
  "chaptersText": {
    "label": "Chapters",
    "format": "string"
  },
  "summary": {
    "label": "Summary",
    "format": "string"
  },
  "keywords": {
    "label": "Keywords",
    "format": "array"
  },
  "minutesBilled": {
    "label": "Minutes billed",
    "format": "number"
  },
  "mediaUrl": {
    "label": "Media",
    "format": "string"
  },
  "error": {
    "label": "Error",
    "format": "string"
  },
  "translationError": {
    "label": "Translation error",
    "format": "string"
  },
  "chaptersError": {
    "label": "Chapters error",
    "format": "string"
  },
  "note": {
    "label": "Note",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Audio, Video & Podcast Transcription: Speech to Text Actor is ready to run with the inputs already set for "Transcribe a speech recording to text and SRT". [Sign up or log in](https://console.apify.com/create-task-from-example/P6OwymfIh9l6kf9qd) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Transcribe a speech recording to text and SRT" task

The Audio, Video & Podcast Transcription: Speech to Text Actor will start running based on the input automatically. You can also change all the input fields, like direct audio or video file urls, podcast rss feed urls, and more, to match your specific use case.

### 3. Receive the "Transcribe a speech recording to text and SRT" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as episode title, feed title, published at, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Transcribe a speech recording to text and SRT" task via API](https://apify.com/brasspage/media-transcriber.md).

## About this Actor

This example demonstrates how to use [Audio, Video & Podcast Transcription: Speech to Text](https://apify.com/brasspage/media-transcriber.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/brasspage/media-transcriber.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

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

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).