# Transcribe meeting recordings to text

**Use case:** 

Turn a meeting, interview or call recording into clean text with paragraphs and timestamped segments, using OpenAI Whisper. Paste a link to any audio or video file (MP3, WAV, M4A, MP4...) or upload it. Language is detected automatically, and you pay only per minute of audio.

## Input

```json
{
  "sources": [
    {
      "url": "https://raw.githubusercontent.com/openai/whisper/main/tests/jfk.flac"
    }
  ],
  "maxEpisodesPerFeed": 3,
  "onlyNewEpisodes": true,
  "model": "base",
  "language": "auto",
  "task": "transcribe",
  "outputs": [
    "text",
    "segments"
  ],
  "aiInsights": false,
  "insightsModel": "claude-opus-5",
  "saveFiles": false,
  "wordTimestamps": false,
  "subtitleMaxChars": 0,
  "subtitleMaxLines": 2,
  "subtitleMaxDuration": 6,
  "chunkSize": 1000,
  "skipSilence": true,
  "maxDurationMinutes": 240,
  "maxFileSizeMb": 1000,
  "failOnError": false
}
```

## Output

```json
{
  "source": {
    "label": "File",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "durationSeconds": {
    "label": "Duration (s)",
    "format": "number"
  },
  "billedMinutes": {
    "label": "Billed min",
    "format": "integer"
  },
  "stats.words": {
    "label": "Words",
    "format": "number"
  },
  "text": {
    "label": "Transcript",
    "format": "string"
  },
  "error": {
    "label": "Error",
    "format": "string"
  }
}
```

## About this Actor

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