Skip to main content
POST
/
api
/
extractor
/
v1
/
generate-schema
curl -X POST https://api.appliedai.club/api/extractor/v1/generate-schema \
  -H "Authorization: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "document_url": "https://example.com/invoice.pdf"
  }'

{
  "document_type": "<string>",
  "extraction_schema": {
    "fields": [
      {
        "name": "<string>",
        "description": "<string>",
        "required": false,
        "isExpanded": true,
        "children": [
          "<unknown>"
        ]
      }
    ],
    "document_description": "<string>"
  },
  "confidence": 0.5
}

Documentation Index

Fetch the complete documentation index at: https://docs.appliedai.club/llms.txt

Use this file to discover all available pages before exploring further.

This API requires authentication. See our Authentication Guide for details.

​
Features

  • Identifies document type (Invoice, PO, etc.)
  • Generates field schema based on content
  • Supports PDF and images (jpg, jpeg, png)
  • Accepts URL or base64-encoded file content
  • Maximum file size: 10MB

​
Request Body

​
document_url
string
URL of the document to analyze
​
file_content
string
Base64 encoded file content
curl -X POST https://api.appliedai.club/api/extractor/v1/generate-schema \
  -H "Authorization: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "document_url": "https://example.com/invoice.pdf"
  }'

Authorizations

​
Authorization
string
header
required

Enter your API key

Body

application/json

The body is of type Request Data · object.

Response

Successful Response

​
document_type
string
required
​
extraction_schema
ExtractionSchema · object
required
​
confidence
number
required
Required range: 0 <= x <= 1