# NGC Speech Model Catalog Workflow

**Use case:** 

Build a repeatable NVIDIA NGC catalog run for speech-to-text models, including framework and result-count controls.

## Input

```json
{
  "searchQuery": "bert",
  "application": "Speech To Text",
  "framework": "NeMo",
  "maxResults": 100,
  "maxRequestRetries": 3
}
```

## Output

```json
{
  "displayName": {
    "label": "Model Name",
    "format": "text"
  },
  "publisher": {
    "label": "Publisher",
    "format": "text"
  },
  "application": {
    "label": "Application",
    "format": "text"
  },
  "framework": {
    "label": "Framework",
    "format": "text"
  },
  "precision": {
    "label": "Precision",
    "format": "text"
  },
  "modelFormat": {
    "label": "Format",
    "format": "text"
  },
  "latestVersion": {
    "label": "Version",
    "format": "text"
  },
  "latestVersionSizeMb": {
    "label": "Size (MB)",
    "format": "number"
  },
  "shortDescription": {
    "label": "Description",
    "format": "text"
  },
  "catalogUrl": {
    "label": "Catalog URL",
    "format": "link"
  },
  "updatedDate": {
    "label": "Updated",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [NVIDIA NGC Model Catalog Scraper](https://apify.com/automation-lab/nvidia-ngc-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/nvidia-ngc-scraper) to learn more, explore other use cases, and run it yourself.