Response Format

Success Response

Returns extracted data as JSON matching your provided schema.

Response Structure

{
  "field_name": "extracted_value"
}

Example Response

{
  "invoice_number": "INV-2024-001",
  "vendor_name": "Acme Corp",
  "total_amount": 1250.5,
  "date": "2024-01-15",
  "line_items": [
    {
      "description": "Web Development Services",
      "quantity": 10,
      "price": 125.05
    }
  ]
}

Response Headers

HTTP/1.1 200 OK
Content-Type: application/json; charset=utf-8

Error Responses

400 Bad Request

Invalid request format or schema:

{
  "error": "Invalid request format",
  "details": "Schema validation failed: 'type' is required"
}

401 Unauthorized

Authentication failed:

{
  "error": "Unauthorized"
}

500 Internal Server Error

Server processing error:

{
  "error": "Internal Server Error"
}

Status Codes

Code	Description
200	Success - Data extracted successfully
400	Bad Request - Invalid request format
401	Unauthorized - Invalid or missing API key
500	Internal Server Error - Server processing error

Response Processing

JavaScript

const response = await fetch("https://api.datapar.se/v1/", {
  method: "POST",
  headers: {
    "x-api-key": "your_api_key",
    "Content-Type": "application/json",
  },
  body: JSON.stringify(requestData),
});

if (response.ok) {
  const extractedData = await response.json();
  console.log("Extracted data:", extractedData);
} else {
  const error = await response.json();
  console.error("Error:", error.error);
}

Python

import requests

response = requests.post(
    "https://api.datapar.se/v1/",
    headers={
        "x-api-key": "your_api_key",
        "Content-Type": "application/json",
    },
    json=request_data,
);

if response.status_code == 200:
    extracted_data = response.json()
    print("Extracted data:", extracted_data)
else:
    error = response.json()
    print("Error:", error["error"])