Document to JSON – PDF Invoice/Statement/Contract Parser MCP server

Document-to-JSON Converter

Turn PDFs into structured JSON in seconds. AI-powered, no coding needed.

🚀 What does it do?

Paste a PDF URL → get structured JSON. That's it.

Powered by AI. Instead of rigid templates or fragile regex, an AI model actually reads and understands each document — so it adapts to any layout, language, or vendor, and even handles scanned files. That's why the same tool works on an Italian invoice, a Spanish receipt, or an English contract without any configuration.

Perfect for:

• Accountants — extract invoice data (numbers, dates, totals, VAT, IBAN)
• Developers — automate document processing in your apps
• Business analysts — convert bank statements to spreadsheets
• Legal teams — extract contract clauses and dates automatically

📋 Supported documents

✨ Example output

{
  "success": true,
  "data": {
    "document_type": "invoice",
    "confidence": 0.97,
    "metadata": {
      "invoice_number": "INV-2024-00123",
      "invoice_date": "2024-03-15",
      "currency": "EUR"
    },
    "seller": {
      "name": "Acme S.p.A.",
      "vat_id": "IT01234567890"
    },
    "line_items": [
      {
        "description": "Consulting services",
        "quantity": 1,
        "unit_price": 5000.00,
        "net_amount": 5000.00,
        "vat_rate": 22.0,
        "total": 6100.00
      }
    ],
    "totals": {
      "net_total": 5000.00,
      "vat_total": 1100.00,
      "grand_total": 6100.00
    },
    "payment_info": {
      "iban": "IT60X0542811101000000123456"
    }
  }
}

🧪 Live examples — try them now

Run the Actor on these public sample PDFs (synthetic data) to see the extraction quality for yourself:

Just paste one of these URLs as fileurl, pick the matching documenttype, and run. Each extraction takes ~15–20 seconds.

🎯 Why this Actor?

🔧 How to use

1. Get a public PDF URL (Dropbox, Google Drive, your server)
2. Select the document type
3. Run the Actor
4. Get your JSON in seconds

That's it. No configuration, no API keys needed.

💰 Pricing

Shortened. The full README is on GitHub.