Name your fields.
Define the keys and types your workflow needs, from invoice totals to dates and nested line items.
PDF to JSON
Convert PDF to JSON. Your data structure.
Turn PDF fields into typed JSON that follows your schema. Predictable keys, nested records, and data ready for your next workflow.
One document. A structure you define.
See the source and structured output together
Illustrative invoice → JSON
4 rows extracted8 columns · ready
Source document
acme-corp-jan.pdf
From document to structured data
Define it once. Reuse it across documents.
Keep the structure.
Extract repeating records as arrays of objects, keeping related details together.
Build on the output.
Use structured JSON in your APIs, automation workflows, and data pipelines.
PDF to JSON guides
Design JSON that stays useful after it leaves the document.
Conversion guide
How to Convert a PDF Table Into a JSON Array
Define stable keys and data types, convert one table row per object, and validate the resulting JSON array.
Read article ↗Data modeling guideJSON Arrays vs Child Tables for Document Extraction: How to Choose
Learn when variable details belong in JSON and when repeated records should become related, queryable rows.
Read article ↗Format comparisonCSV vs JSON vs SQLite for PDF Extraction: A Practical Test
Compare the same extracted document in three formats and choose the output that fits your next workflow.
Read article ↗Less parsing. More building.
Turn your next document into data your workflow can use.