> ## Documentation Index
> Fetch the complete documentation index at: https://runcrate.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Vision API — Image Understanding

> Analyze images, describe scenes, read charts, and answer visual questions using Qwen3 VL and Llama 3.2 Vision. Curl, Python, and TypeScript examples.

export const RuncrateStyles = () => {
  if (typeof document !== 'undefined' && !document.getElementById('runcrate-overrides')) {
    const s = document.createElement('style');
    s.id = 'runcrate-overrides';
    s.textContent = `
      /* Match Runcrate's rounding scale (--radius: 0.75rem) */
      .rounded-sm { border-radius: 0.5rem !important; }   /* 8px */
      .rounded-md { border-radius: 0.625rem !important; } /* 10px */
      .rounded-lg { border-radius: 0.75rem !important; }  /* 12px */
      .rounded-l-sm { border-top-left-radius: 0.5rem !important; border-bottom-left-radius: 0.5rem !important; }
      .rounded-r-sm { border-top-right-radius: 0.5rem !important; border-bottom-right-radius: 0.5rem !important; }
      .rounded-l-md { border-top-left-radius: 0.625rem !important; border-bottom-left-radius: 0.625rem !important; }
      .rounded-r-md { border-top-right-radius: 0.625rem !important; border-bottom-right-radius: 0.625rem !important; }
      .rounded-l-lg { border-top-left-radius: 0.75rem !important; border-bottom-left-radius: 0.75rem !important; }
      .rounded-r-lg { border-top-right-radius: 0.75rem !important; border-bottom-right-radius: 0.75rem !important; }

      /* Cards: never pure white in light mode */
      .card { background-color: #fcfcfc !important; border-radius: 0.75rem !important; }
      html.dark .card { background-color: #141414 !important; }

      /* Docs hero box */
      .rc-hero { background-color: #fcfcfc; border: 1px solid #e0e0e0; }
      html.dark .rc-hero { background-color: #141414; border-color: #242424; }
      html.dark .rc-hero h1 { color: #f5f5f5; }

      /* Runcrate scrollbar — thin, transparent track, hide-until-hover thumb */
      ::-webkit-scrollbar { width: 6px; height: 6px; background-color: transparent; }
      ::-webkit-scrollbar-track { background-color: transparent; }
      ::-webkit-scrollbar-thumb { background-color: rgba(155, 155, 155, 0.5); border-radius: 10px; transition: opacity 0.3s ease; opacity: 0; }
      ::-webkit-scrollbar-thumb:hover { background-color: rgba(155, 155, 155, 0.7); }
      *:hover::-webkit-scrollbar-thumb,
      *:focus::-webkit-scrollbar-thumb,
      *:active::-webkit-scrollbar-thumb { opacity: 1; }
      * { scrollbar-width: thin; scrollbar-color: rgba(155, 155, 155, 0.5) transparent; }
    `;
    document.head.appendChild(s);
  }
  return null;
};

<RuncrateStyles />

Send an image to the Runcrate Models API and get detailed analysis back. Describe scenes, read charts, answer questions about visual content, or compare multiple images — all through the standard chat completions endpoint.

## Available vision models

| Model                                      | Context | Strengths                                                        |
| ------------------------------------------ | ------- | ---------------------------------------------------------------- |
| `Qwen/Qwen3-VL-235B-A22B-Instruct`         | 128K    | Strongest visual reasoning, chart/table extraction, multilingual |
| `meta-llama/Llama-3.2-90B-Vision-Instruct` | 128K    | Strong general vision, good at spatial reasoning                 |

***

## Analyze an image

<CodeGroup>
  ```bash curl theme={"theme":"github-dark"}
  curl https://api.runcrate.ai/v1/chat/completions \
    -H "Authorization: Bearer rc_live_YOUR_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{
      "model": "Qwen/Qwen3-VL-235B-A22B-Instruct",
      "messages": [
        {
          "role": "user",
          "content": [
            {"type": "text", "text": "Describe this image in detail. What objects are present, what is the setting, and what is happening?"},
            {"type": "image_url", "image_url": {"url": "https://example.com/photo.jpg"}}
          ]
        }
      ],
      "max_tokens": 1024
    }'
  ```

  ```python Python theme={"theme":"github-dark"}
  from openai import OpenAI

  client = OpenAI(
      base_url="https://api.runcrate.ai/v1",
      api_key="rc_live_YOUR_API_KEY",
  )

  response = client.chat.completions.create(
      model="Qwen/Qwen3-VL-235B-A22B-Instruct",
      messages=[
          {
              "role": "user",
              "content": [
                  {"type": "text", "text": "Describe this image in detail."},
                  {"type": "image_url", "image_url": {"url": "https://example.com/photo.jpg"}},
              ],
          }
      ],
      max_tokens=1024,
  )
  print(response.choices[0].message.content)
  ```
</CodeGroup>

***

## Read charts and graphs

Pass a chart image and ask the model to extract data points. Works with bar charts, line graphs, tables, and diagrams. Use `base64` encoding for local files:

```python theme={"theme":"github-dark"}
from openai import OpenAI
import base64
from pathlib import Path

client = OpenAI(
    base_url="https://api.runcrate.ai/v1",
    api_key="rc_live_YOUR_API_KEY",
)

chart_data = base64.b64encode(Path("quarterly-revenue.png").read_bytes()).decode()

response = client.chat.completions.create(
    model="Qwen/Qwen3-VL-235B-A22B-Instruct",
    messages=[{
        "role": "user",
        "content": [
            {"type": "text", "text": "Extract all data points from this chart as a markdown table."},
            {"type": "image_url", "image_url": {"url": f"data:image/png;base64,{chart_data}"}},
        ],
    }],
    max_tokens=1024,
)
print(response.choices[0].message.content)
```

***

## Next steps

* [AI OCR and document extraction](/examples/ocr-document-extraction) — purpose-built models for text extraction from documents and receipts.
* [Extract structured data](/examples/structured-output) — combine vision output with schemas for production data pipelines.
* [Model catalog](/models/model-catalog) — browse all available vision models and pricing.