Free document tool
PDF to JSON
Create structured JSON from PDF fields, sections, and repeating tables.
Upload a report, form, statement, or other PDF. The tool infers named fields and repeating records instead of returning one long block of extracted text.
Upload a PDF. PDF files are supported up to 150 MB.
Structure that follows the document
Simple values become properties, related values can be grouped, and repeating rows stay in arrays.
- document_type: monthly_report
- title: Operations summary
- period: August 2026
- fields: Named values found on the page
- tables[]: Headers and repeating row objects
- dates: Normalized date values
- amounts: Numbers without display formatting
- source context: Compared in the review workspace
Extract first, then decide what to keep
- Upload and extract one PDF without creating an account.
- Review low-confidence values beside the source document.
- Create a free account when the result is ready to download.
- Use a paid plan for stored files, invoice batches, jobs, email intake, and higher limits.
Compare batch-processing plans or read how extraction and review work.
Define what downstream code expects
Inspect nested objects, arrays, data types, missing values, and field names. For repeatable automation, save a reviewed schema instead of relying on fresh inference each time.
- Prototype structured data from a new PDF type
- Prepare a JSON sample for an integration
- Extract fields and tables in one pass
Questions about PDF to JSON
Is PDF to JSON the same as extracting PDF text?
No. Plain text extraction follows reading order. This tool tries to identify named fields, data types, tables, and repeating records that software can use.
Can it return nested JSON?
Yes. Related document fields and repeating table rows can be grouped into objects and arrays when the document supports that structure.
How do I keep the same schema across many PDFs?
Use a preset or saved schema in the workspace, then validate each result before it reaches downstream code.