curl --request POST \
  --url https://api.z.ai/api/paas/v4/layout_parsing \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "glm-ocr",
  "file": "https://cdn.bigmodel.cn/static/logo/introduction.png"
}
'

import requests

url = "https://api.z.ai/api/paas/v4/layout_parsing"

payload = {
    "model": "glm-ocr",
    "file": "https://cdn.bigmodel.cn/static/logo/introduction.png"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({model: 'glm-ocr', file: 'https://cdn.bigmodel.cn/static/logo/introduction.png'})
};

fetch('https://api.z.ai/api/paas/v4/layout_parsing', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

HttpResponse<String> response = Unirest.post("https://api.z.ai/api/paas/v4/layout_parsing")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"glm-ocr\",\n  \"file\": \"https://cdn.bigmodel.cn/static/logo/introduction.png\"\n}")
  .asString();

{
  "id": "task_123456789",
  "created": 1727156815,
  "model": "GLM-OCR",
  "md_results": "# Doc title\nThis is the document content...",
  "layout_details": [
    [
      {
        "index": 1,
        "label": "text",
        "bbox_2d": [
          0.1,
          0.1,
          0.5,
          0.3
        ],
        "content": "This is the content of the element",
        "height": 800,
        "width": 600
      }
    ]
  ],
  "layout_visualization": [
    "<string>"
  ],
  "data_info": {
    "num_pages": 5,
    "pages": [
      {
        "width": 600,
        "height": 800
      }
    ]
  },
  "usage": {
    "prompt_tokens": 123,
    "completion_tokens": 123,
    "prompt_tokens_details": {
      "cached_tokens": 123
    },
    "total_tokens": 123
  },
  "request_id": "req_123456789"
}

{
  "code": 123,
  "message": "<string>"
}