# Speech to Text: Transcribe Audio from a URL

**Use case:** 

Convert speech in an audio or video link to text with timestamps and ready-to-use TXT, SRT and VTT files. Works with MP3, WAV, M4A, OGG and MP4 links and public Drive or Dropbox links, in 90+ languages. The example transcribes the 3-minute Apollo 13 "we have a problem" radio clip. $0.006 per minute of audio.

## Input

```json
{
  "urls": [
    "https://upload.wikimedia.org/wikipedia/commons/6/6f/Apollo13-wehaveaproblem.ogg"
  ],
  "maxEpisodesPerFeed": 1,
  "usePublisherTranscripts": true,
  "language": "en",
  "transcriptionEngine": "fast",
  "saveSubtitles": true,
  "saveTranscriptFiles": true,
  "summarize": false,
  "meetingNotes": false,
  "speakerLabels": false,
  "wordTimestamps": false,
  "subtitleLanguages": [],
  "maxTotalMinutes": 4,
  "maxConcurrency": 3,
  "fileConcurrency": 3,
  "fileTimeoutSecs": 1800,
  "downloadVia": "auto",
  "downloadUserAgent": "auto",
  "newEpisodesOnly": false,
  "backfillOlderEpisodes": false,
  "tiktokOnly": false
}
```

## Output

```json
{
  "url": {
    "label": "Audio",
    "format": "string"
  },
  "episodeTitle": {
    "label": "Episode",
    "format": "string"
  },
  "success": {
    "label": "OK",
    "format": "boolean"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "durationSeconds": {
    "label": "Duration (s)",
    "format": "number"
  },
  "billedMinutes": {
    "label": "Billed min",
    "format": "number"
  },
  "text": {
    "label": "Transcript",
    "format": "string"
  },
  "summary": {
    "label": "Summary",
    "format": "string"
  },
  "srtUrl": {
    "label": "SRT",
    "format": "string"
  },
  "error": {
    "label": "Error",
    "format": "string"
  }
}
```

## How it works

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

The Audio Transcription - Speech to Text, Audio to Text, Whisper Actor is ready to run with the inputs already set for "Speech to Text: Transcribe Audio from a URL". [Sign up or log in](https://console.apify.com/create-task-from-example/4vXV47NnChMiOSOzs) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Speech to Text: Transcribe Audio from a URL" task

The Audio Transcription - Speech to Text, Audio to Text, Whisper Actor will start running based on the input automatically. You can also change all the input fields, like audio or video file urls, episodes per podcast feed, and more, to match your specific use case.

### 3. Receive the "Speech to Text: Transcribe Audio from a URL" 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 audio, episode, OK, 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 "Speech to Text: Transcribe Audio from a URL" task via API](https://apify.com/tidytools/audio-transcriber.md).

## About this Actor

This example demonstrates how to use [Audio Transcription - Speech to Text, Audio to Text, Whisper](https://apify.com/tidytools/audio-transcriber.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/tidytools/audio-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/tidytools/audio-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`).