Trusted by 2,000+ data-driven businesses
G2
5.0
~99%extraction accuracy
1M+documents processed
AI PDF Data Extraction

Extract Data from Any PDF Automatically — 99.7% Accuracy

DigiParser extracts structured data from invoices, bank statements, purchase orders, and any PDF — then sends it to your spreadsheet, ERP, or database. No templates needed. Works on scanned PDFs too.

No credit card required · 20 free documents included

99.7%
Extraction Accuracy
< 10s
Per Document
50+
Document Types
6,000+
App Integrations

How PDF Data Extraction Works

From PDF to structured data in four steps — fully automated.

1

PDF Arrives

Via upload, email forwarding, Google Drive, API call, or Zapier trigger.

2

AI Reads It

OCR + layout analysis + named-entity extraction identifies every field in your schema.

3

Data Validated

Extracted values are confidence-scored and cross-checked for format validity.

4

Data Exported

JSON, CSV, Excel download — or pushed directly to your ERP, spreadsheet, or CRM.

Extract Data from Any Document Type

DigiParser recognizes 50+ document formats automatically. No template setup for common types.

Why Teams Choose DigiParser for PDF Extraction

No Templates Required

The AI recognizes invoices, bank statements, purchase orders, and more automatically — no setup time.

Works on Scanned PDFs

AI OCR reads photographed, scanned, and low-quality documents — not just clean digital PDFs.

Full REST API

Submit PDFs programmatically, receive structured JSON. Webhooks for async batch processing.

Batch Processing

Process hundreds of PDFs in parallel. Volume pricing means cost scales linearly, not exponentially.

Direct Integrations

Push data to QuickBooks, Xero, Google Sheets, Salesforce, or 6,000+ apps via Zapier — no download required.

Quick Setup

Most customers extract their first document within 15 minutes of signing up. No IT project required.

Send Extracted Data Anywhere

Extracted data goes directly into your existing tools — no CSV downloads, no copy-pasting.

Google Sheets
Microsoft Excel
QuickBooks
Xero
Salesforce
HubSpot
Airtable
Notion
SAP
Oracle
Zapier
REST API
+ 6,000 more via Zapier

Extract Data from PDF — Frequently Asked Questions

How do I extract data from a PDF automatically?

Create a DigiParser account, upload a sample PDF, and define the fields you want to extract (or let the AI auto-detect them for common formats). DigiParser then processes every PDF you send via upload, API, or email — and outputs structured data in JSON, CSV, or Excel, or pushes it directly to your connected app.

What types of data can be extracted from a PDF?

DigiParser can extract any structured information: names, dates, amounts, addresses, tables, line items, reference numbers, tax IDs, and more. For standard document types (invoices, bank statements, purchase orders), the AI recognizes fields automatically. For custom documents, you define your own extraction schema.

How accurate is PDF data extraction with DigiParser?

DigiParser achieves 99.7% extraction accuracy on standard business document formats. This is higher than human data entry accuracy (~92%) and significantly better than rule-based OCR systems that require perfect templates. The AI handles messy real-world documents: rotated scans, unusual layouts, missing fields, and multi-page documents.

Does it work on scanned PDFs, not just digital ones?

Yes. DigiParser uses AI-powered OCR that reads scanned PDFs, photographed documents, and images — not just text-based PDFs. Accuracy on scanned documents depends on scan quality, but DigiParser handles moderate-quality scans well.

Can I extract data from PDFs via API?

Yes. DigiParser provides a REST API for PDF data extraction. Submit PDFs by URL or file upload, define your extraction schema, and receive structured JSON. Async processing is supported via webhooks for large batches. Full API documentation is available at https://www.digiparser.com/docs/api.

What happens to the extracted data?

Extracted data can be downloaded as JSON, CSV, or Excel — or pushed automatically to Google Sheets, QuickBooks, Xero, Salesforce, Airtable, or any app via Zapier or webhook. Many customers send data directly to their ERP or database without any manual download step.

Do I need to set up templates for each document layout?

No. For common document types (invoices, bank statements, receipts, purchase orders, resumes), DigiParser's AI recognizes the layout automatically — no template required. For custom or proprietary documents, you define your schema once and DigiParser applies it to every document of that type.

How does DigiParser handle multi-page PDFs?

DigiParser processes all pages in a multi-page PDF and consolidates the extracted data. For documents like bank statements or purchase orders that span multiple pages, all tables and fields are extracted and merged into a single structured output.

How long does it take to set up?

For invoice, bank statement, or resume extraction, setup takes under 5 minutes — upload a sample, review the auto-detected fields, connect your destination app. For custom document types, define your schema in the visual builder and test on a sample. Most customers are extracting data within 30 minutes of signing up.

What is the pricing for PDF data extraction?

DigiParser offers usage-based pricing. You pay per document processed — no monthly minimums, no seat fees, no per-field charges. See digiparser.com/pricing for current rates. Volume discounts are available for enterprise customers.

Ready to Extract Data from Your PDFs?

Start with 20 free documents. No credit card required. Most customers are live within 30 minutes.

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Get Started with DigiParser

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