PDF Parser API

PDF Parser — Extract Structured Data from Any PDF

Parse PDFs with 99.7% accuracy. Extract text, tables, key-value pairs, and custom fields from native and scanned PDFs. REST API, webhooks, and no-code options available.

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Simple REST API

Parse any PDF with a single API call. Get structured JSON back in seconds.

# Parse a PDF via URL

curl -X POST https://api.digiparser.com/v1/parse \

-H "Authorization: Bearer YOUR_API_KEY" \

-H "Content-Type: application/json" \

-d '{"url": "https://example.com/invoice.pdf"}'

# Returns structured JSON

{ "vendor": "Acme Corp", "invoice_number": "INV-2026-0042", "date": "2026-03-01", "total": 1240.00, "line_items": [ { "description": "Widget A", "qty": 10, "unit_price": 124.00 } ] }

PDF Formats DigiParser Can Parse

Every type of PDF — not just clean digital ones.

Native digital PDFs

Text-based PDFs from any source

Scanned PDFs

Photographed or photocopied documents

Multi-page PDFs

Reports, statements, and books

Password-protected PDFs

Encrypted documents with key

Form PDFs (fillable)

AcroForm and XFA forms

Low-quality scans

Faded, rotated, or skewed documents

Images embedded in PDFs

JPEGs, PNGs inside PDF containers

Handwritten documents

ICR for handwriting recognition

What You Can Extract

Four extraction modes — from raw text to deeply structured JSON.

Key-Value Pairs

Extract named fields — vendor name, invoice number, date, total — from any position in the document.

{ "vendor": "Acme Corp", "total": "$1,240.00", "date": "2026-03-01" }

Tables & Line Items

Parse multi-row tables into structured arrays, preserving column headers and row alignment.

[{ "item": "Widget A", "qty": 10, "price": "$12.00" }, ...]

Raw Text

Full text extraction with layout preservation — paragraphs, headings, and page breaks intact.

"Invoice\nDate: March 1, 2026\n\nLine Items:\n..."

Custom Schema

Define your own JSON schema and DigiParser extracts exactly the fields you specify — even across complex multi-page documents.

{ "schema": { "po_number": "string", "lines": [...] } }

DigiParser vs. Other PDF Parsers

How DigiParser compares to Tabula, Adobe Acrobat, and AWS Textract.

Tool	Scanned PDFs	AI Extraction	REST API	Batch Processing	Accuracy
TabulaOpen source					~75% on complex PDFs
Adobe AcrobatDesktop app					Good for simple PDFs
AWS TextractCloud API					Good, but complex setup
DigiParser Best Choice					99.7% accuracy

Why 99.7% Accuracy Matters

No Post-Processing

At 99.7% accuracy, the output goes directly into your system. No manual review queue.

Consistent Across Formats

The same accuracy whether parsing a clean invoice PDF or a low-quality scanned form.

Improves with Feedback

Flag a mis-extracted field once and DigiParser learns for that document type — accuracy compounds over time.

PDF Parser — Frequently Asked Questions

What is a PDF parser?

A PDF parser is software that reads a PDF file and extracts its content — text, tables, images, or specific data fields — into a structured format like JSON, CSV, or Excel. Modern AI-based PDF parsers like DigiParser go beyond text extraction to identify named fields (vendor, amount, date) and structured data (line item tables) regardless of PDF layout.

What is a PDF scraper and how is it different from a PDF parser?

A PDF scraper extracts raw text or data from PDFs, typically by reading the document's underlying byte stream or using OCR. The term 'PDF scraper' is often used interchangeably with 'PDF parser', though technically scraping implies raw extraction while parsing implies structured understanding. DigiParser does both: it scrapes content using OCR (including scanned PDFs) and then parses that content into structured fields you can use.

What's the difference between PDF parsing and PDF scraping?

PDF scraping typically refers to extracting raw text from a PDF by reading its underlying character stream. PDF parsing is more sophisticated — it understands the structure of the document and extracts specific fields, tables, and relationships. DigiParser does true parsing: it identifies what each piece of data means, not just where it is on the page.

Can DigiParser parse scanned PDFs?

Yes. DigiParser uses AI-powered OCR (Optical Character Recognition) to read scanned PDFs, photographed documents, and images. It handles poor-quality scans, rotated pages, and handwritten content — not just clean digital PDFs.

How is DigiParser different from Tabula?

Tabula is a free open-source tool that extracts tables from digital-only PDFs. It requires manual setup, doesn't work on scanned PDFs, has no API, and struggles with complex layouts. DigiParser handles scanned PDFs, provides a REST API for automation, supports custom extraction schemas, and achieves 99.7% accuracy on real-world documents.

Does DigiParser have a PDF parsing API?

Yes. DigiParser provides a REST API that accepts PDF files (via URL or upload) and returns structured JSON with all extracted fields. You can define custom schemas, handle webhooks for async processing, and integrate with any language or platform.

What formats can DigiParser output?

DigiParser returns structured JSON by default, which you can map to any downstream format. Native exports include CSV, Excel, and direct integrations with Google Sheets, QuickBooks, Xero, Airtable, and 5,000+ apps via Zapier.

How accurate is DigiParser's PDF parsing?

DigiParser achieves 99.7% extraction accuracy on standard business document formats (invoices, bank statements, purchase orders, contracts). The AI was trained on millions of real-world documents across dozens of industries.

Can I parse multiple PDFs at once?

Yes. DigiParser supports batch PDF parsing — upload multiple files via the API or web app and receive structured output for all of them. Batch jobs run in parallel for fast throughput.

Get Started with DigiParser

Ready to automate your document processing? Start your free trial today and discover how DigiParser can transform your workflow.

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