Parserdata + cURL: Document Data Extraction

Overview

This repository contains production-ready cURL examples for extracting structured data from documents using the Parserdata API.

The examples demonstrate both prompt-based and schema-based extraction workflows.

No SDKs required.

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Prerequisites

• A Parserdata API key
• curl installed
• A document (PDF, image) or a publicly accessible file URL

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Authentication

All requests require the X-API-Key header:

-H "X-API-Key: YOUR_API_KEY"

Example 1: Prompt-based extraction (file upload)

curl -X POST "https://api.parserdata.com/v1/extract" \
  -H "X-API-Key: YOUR_API_KEY" \
  -F 'prompt=Extract invoice number, date, supplier, total amount.' \
  -F 'file=@invoice.pdf'

Example 2: Schema-based extraction (JSON + file_url)

curl --location "https://api.parserdata.com/v1/extract" \
  --header "X-API-Key: YOUR_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "file_url": "https://example.com/invoice.pdf",
    "schema": {
      "invoice_number": "string",
      "date": "date",
      "supplier_name": "string",
      "total_amount": "number",
      "line_items": "table"
    }
  }'

Examples

You can also run the examples from the examples/ folder:

• examples/prompt-based-file-upload.sh
• examples/schema-based-file-url.sh

License

MIT