Free document tool

Extract PDF fields and tables to JSON with AI

Give every field a name. Illustrative example.

Convert a PDF into named fields and rows, then map the JSON on your terms.

Upload a native or scanned PDF and extract its named fields and repeating rows. Review the values beside the source, download JSON, then map that result into the versioned contract your application expects. Parseable does not mean correct, so keep validation at the boundary.

Content reviewed 2026-10-01.

JSON, CSV and Excel downloads are included on Free after signup, within Free plan limits. See Free limits.

Anonymous originals stay in browser storage, not cloud file storage. Extraction may send document content to the selected AI provider.

Upload a PDF. PDF files are supported up to 50 MB.

28-day Free trial · 25 page-equivalents · 5 hosted pages/document

What is included in the PDF JSON export?

Dynamite Docs extracts fields and tables from a PDF, keeps the values available for source review, and exports JSON with column definitions, rows, and document metadata.

The download is a product export, not your application schema. Validate required fields, identifiers, dates, decimal precision, arrays, and null handling before using it in code.

How do you convert unstructured PDF content into structured JSON data?

Use PDF to JSON when a report, operational log, or mixed-content PDF needs to be transformed into structured JSON objects with document metadata and table row arrays. Start by establishing your application schema requirements: required properties, expected array shapes, and explicit null-handling rules.

During review, cross-check named header fields and table boundaries against the original pages. Ensure that numbers, dates, and identifiers preserve their correct data types, that wrapped descriptions do not fragment rows, and that optional fields are normalized consistently across extractions.

Choose the PDF Table Extractor when table recovery is the sole objective without nested metadata. Use Invoice to JSON for commercial supplier invoices with tax, vendor, and line-item hierarchies. Use PDF to CSV for flat database table imports. For automated software delivery, integrate directly with our REST API using saved extraction schemas.

Compare monthly processing allowances and plan limits or read the step-by-step extraction and review guide.

Connect an AI provider and get a key

Choose a hosted model or connect your own provider key for the extraction.

Provider keys are encrypted before storage. Compare processing options or follow the setup guide.

Read the PDF extraction software guide for digital and scanned PDFs, fields, tables, review and output choices.

Choose the page for the job

Questions about Extract PDF fields and tables to JSON with AI

The 28-day Free trial includes 25 page-equivalents per month shared by hosted and own-key processing, 5 hosted pages per document, and 5 documents per day. Anonymous trials have separate daily limits.

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?

The download contains column definitions, a rows array and document metadata. Map those values into nested objects if your application needs a different 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.

Should my application consume the inferred JSON directly?

Use a mapping and validation layer. Translate reviewed columns and metadata into your own versioned contract, reject missing or unexpected fields, and send failures to an exception queue. This protects consumers when layouts or inferred field names change.

How should JSON represent numbers, dates and identifiers?

Treat money with decimal-safe rules, preserve currency separately and normalize dates only after confirming the source format. Keep account numbers, reference codes and other identifiers as strings so leading zeroes and punctuation are not lost.