Document Type

PDF Data Extraction

Extract structured data from any PDF — digital, scanned, forms, tables, or complex multi-page documents. Built-in OCR handles any quality. Try [extracting data from PDFs without code](/guides/extract-data-from-pdfs-without-code) or convert [PDF to JSON](/guides/pdf-to-json-extraction) in minutes.

What You Can Extract

Define your schema with any combination of these fields — or add your own custom fields.

Text Fields

Any text content: names, addresses, reference numbers, descriptions.

Tables

Multi-row, multi-column table data with structure preserved.

Form Fields

Data from fillable PDF form fields.

Numbers & Dates

Typed numeric values and dates extracted in consistent formats.

Multi-Page Content

Data spanning multiple pages extracted as a single structured result.

Supported Formats

  • Digital PDF
  • Scanned PDF
  • Image-based PDF
  • Fillable PDF forms
  • Multi-page PDF

Frequently Asked Questions

Can Parsli handle scanned PDFs?

Yes. Built-in OCR reads text from scanned documents, photos, and image-based PDFs. No coding required — see how to [extract data from PDFs without code](/guides/extract-data-from-pdfs-without-code).

What about multi-page PDFs?

Parsli processes all pages. One multi-page document uses one page credit. For large volumes, learn how to [batch process documents automatically](/guides/batch-process-documents-automatically).

Can I extract tables from PDFs?

Yes. Use the table field type to extract structured table data with rows and columns preserved.

Start Extracting Data from PDFs

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