# Transcribe the latest episodes of a podcast RSS feed

**Use case:** 

Give it a podcast RSS or Atom feed and it transcribes the newest episodes, with each episode's title and publish date, timestamped segments, SRT subtitles and Markdown show notes text. Choose how many episodes per feed and cap the minutes per episode to control the cost. Example: the LibriVox short story podcast, 2 episodes, first 3 minutes each.

## Input

```json
{
  "urls": [
    "https://archive.org/download/short_story_036_0904_librivox/shortstory036_sciencevsluck_gam_64kb.mp3"
  ],
  "podcastFeeds": [
    "https://librivox.org/rss/2774"
  ],
  "episodesPerFeed": 2,
  "model": "base",
  "language": "auto",
  "task": "transcribe",
  "wordTimestamps": false,
  "maxMinutesPerFile": 3,
  "chunkSize": 0,
  "chunkOverlap": 200,
  "saveFiles": true,
  "maxFileSizeMb": 500,
  "requestHeaders": {}
}
```

## Output

```json
{
  "url": {
    "label": "URL",
    "format": "link"
  },
  "fileName": {
    "label": "File"
  },
  "episodeTitle": {
    "label": "Episode"
  },
  "language": {
    "label": "Language"
  },
  "durationSec": {
    "label": "Duration (s)",
    "format": "number"
  },
  "billedMinutes": {
    "label": "Billed minutes",
    "format": "number"
  },
  "wordCount": {
    "label": "Words",
    "format": "number"
  },
  "text": {
    "label": "Transcript"
  },
  "error": {
    "label": "Error"
  }
}
```

## How it works

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

The Audio to Text — Whisper Transcription, SRT, RAG Chunks Actor is ready to run with the inputs already set for "Transcribe the latest episodes of a podcast RSS feed". [Sign up or log in](https://console.apify.com/create-task-from-example/UNeEB2t2LVz8OOvfY) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Transcribe the latest episodes of a podcast RSS feed" task

The Audio to Text — Whisper Transcription, SRT, RAG Chunks Actor will start running based on the input automatically. You can also change all the input fields, like audio or video links, podcast feeds (rss), and more, to match your specific use case.

### 3. Receive the "Transcribe the latest episodes of a podcast RSS feed" 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 URL, file, episode, 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 the latest episodes of a podcast RSS feed" task via API](https://apify.com/saliga/audio-to-text.md).

## About this Actor

This example demonstrates how to use [Audio to Text — Whisper Transcription, SRT, RAG Chunks](https://apify.com/saliga/audio-to-text.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/saliga/audio-to-text.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/saliga/audio-to-text.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`).