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

Type	What you get	Price
Invoice	Seller, buyer, line items, totals, VAT, IBAN, payment info	$0.01
Bank Statement	All transactions, balances, fees, account holder	$0.015
Contract	Parties, key clauses, dates, financial terms, jurisdiction	$0.02
Generic	Full text + tables from any document	Free during launch

✨ Example output

config.json

{
  "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:

Type	Sample PDF	What the AI extracts (highlights)
Invoice	sample-invoice.pdf	Invoice `INV-2026-0042`, seller + buyer with VAT IDs, 2 line items, VAT 22%, grand total €1,889.78 — confidence 1.0
Bank statement	sample-bank-statement.pdf	7 transactions auto-categorized, opening/closing balances reconciled to €8,655.28 — confidence 1.0
Contract	sample-contract.pdf	2 parties + roles, effective/expiry/renewal dates, fee €5,000, 5 key clauses with summaries, jurisdiction — confidence 0.95

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

🎯 Why this Actor?

Feature	Benefit
AI understanding	An AI reads documents like a human — adapts to any layout, no templates or rules to maintain
Multi-language	English, Italian, Spanish (OCR)
OCR included	Works with scanned documents too
Validation	Auto-checks totals and dates for accuracy
Pay per use	No subscription, pay only for what you process

🔧 How to use

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

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

💰 Pricing

Document type	Price
Invoice	$0.01 ($10/1000)
Bank statement	$0.015 ($15/1000)
Contract	$0.02 ($20/1000)
Generic	Free during launch

Pay-per-event via Apify. Pay only for successful extractions. No subscription, no hidden fees.

🔒 Privacy

PDFs are processed and not stored after extraction
Data is available in your private dataset
All API keys stay encrypted

📚 Supported OCR languages

eng (English), ita (Italian), spa (Spanish)

Combine with + for multi-language scanned documents: eng+ita+spa (default)

🤖 Built for AI agents (MCP)

This Actor is an MCP server: AI agents can call it directly as a tool to turn any PDF into JSON, with zero configuration — just pass a public file_url. Specialized tools (parse_invoice, parse_bank_statement, parse_contract) and a free parse_generic_document make it easy for an LLM to pick the right one for the task.

🔌 Integrations

Replace YOUR_APIFY_TOKEN with your token from Apify → Settings → Integrations.

Claude Code (CLI)

Terminal

claude mcp add --transport http apify \
  "https://mcp.apify.com/?actors=opportunity-biz/document-to-json-mcp"

Claude Desktop / Cursor (MCP)

Add to your MCP config (claude_desktop_config.json or Cursor's mcp.json):

config.json

{
  "mcpServers": {
    "document-to-json": {
      "command": "npx",
      "args": [
        "-y", "mcp-remote",
        "https://mcp.apify.com/?actors=opportunity-biz/document-to-json-mcp",
        "--header", "Authorization: Bearer YOUR_APIFY_TOKEN"
      ]
    }
  }
}

The agent then sees parse_invoice, parse_bank_statement, parse_contract, and parse_generic_document as tools and calls them on its own.

REST API (any language)

One call in, JSON out — run-sync-get-dataset-items returns the result directly:

Terminal

curl -X POST \
  "https://api.apify.com/v2/acts/opportunity-biz~document-to-json-mcp/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"file_url": "https://example.com/invoice.pdf", "document_type": "invoice", "validate_totals": true}'

Python

server.ts

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("opportunity-biz/document-to-json-mcp").call(run_input={
    "file_url": "https://example.com/invoice.pdf",
    "document_type": "invoice",
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript / TypeScript

server.ts

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('opportunity-biz/document-to-json-mcp').call({
  file_url: 'https://example.com/invoice.pdf',
  document_type: 'invoice',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

n8n

Use an HTTP Request node (POST) to the REST API URL above, or the official Apify node → select document-to-json-mcp → set file_url and document_type. Great for "watch inbox → extract invoice → append to Google Sheet" workflows.

LangChain / CrewAI / any MCP framework

Point your agent framework's MCP client at https://mcp.apify.com/?actors=opportunity-biz/document-to-json-mcp — the parsing tools are exposed automatically.