Structured JSON from any PDF.
Field by field.
PdfParse extracts document fields into typed JSON payloads matching the schema you define. Feed consistent, predictable data directly into APIs, message queues, or data warehouses.
Live PDF to JSON workspace
Upload a real document and inspect structured output
Source document
acme-corp-jan.pdf
{
"vendor": "Acme Corp",
"invoice_number": "INV-1001",
"issue_date": "2024-01-15",
"due_date": "2024-02-15",
"currency": "USD",
"subtotal": 4000.00,
"tax": 200.00,
"total": 4200.00,
"line_items": [
{
"description": "Consulting — January 2024",
"quantity": 1,
"unit_price": 4000.00,
"amount": 4000.00
}
]
}Schema-Defined Shape
Keys you set. Fields you expect.
JSON keys match the field names you define in the schema builder. No surprise nulls, no format variation across document batches. The shape of the output is always what you specified.
Nested Line Items
Repeating data as arrays.
Line items, transactions, and any repeating data export as arrays of child objects within the parent record. No flattening required — the hierarchy you model is the hierarchy you get.
Pipeline-Ready
Ingest without transformation.
JSON output is structured for direct ingestion into REST APIs, message queues, data warehouses, and automation workflows. No intermediate parsing layer needed between PdfParse and your downstream service.