Analyzes a scanned undercarriage inspection form image or PDF using Azure Document Intelligence.

POST/api/v2/equipment/undercarriage/form/analyze

Authentication

Choose one supported method for this request.

OAuth 2.0 client credentials

Request body

multipart/form-datarequired

The uploaded image or PDF file of the inspection form.

filefile

Responses

Document parsed and fields extracted successfully.

Standard response envelopeisSuccessmessageerrorsdata

Read the result from data. When isSuccess is false, errors lists what went wrong. Handling errors

companystring
datestring · datenullable
makestring
modelstring
serialNostring
hoursnumber · double

REQUEST EXAMPLE

curl --request POST \
  'https://apiv2.crmseries.com/api/v2/equipment/undercarriage/form/analyze' \
  --header 'Authorization: Bearer YOUR_ACCESS_TOKEN' \
  --form 'file=@/path/to/file'

Replace the uppercase placeholders and sample values with your integration values.

RESPONSE · 200

{
  "isSuccess": true,
  "message": "",
  "data": {
    "company": "Acme Equipment Co.",
    "date": "2026-01-15",
    "make": "Caterpillar",
    "model": "320",
    "serialNo": "CAT0320XABC12345",
    "hours": 3250,
    "measurements": [
      {
        "component": "string",
        "locations": [
          {
            "location": "string",
            "wearOption": "string",
            "method": "string",
            "measurement": 1.5
          }
        ]
      }
    ]
  },
  "errors": []
}