AI PDF extractor

Extract Fields and Tables From Business PDFs

Turn recurring PDFs into consistent, reviewable records without building fragile rules for every page layout.

No credit card Review before export CSV, Excel, JSON, PDF
Source document Ready
Structured output
Document IDs
Captured value
Entity names
Captured value
Dates
Captured value
Addresses
Captured value
Amounts
3 rows extracted

Input

invoices, statements, forms, reports, and other PDFs

Process

AI extraction, OCR when needed, batch processing, and human review.

Output

structured records ready for CSV, Excel, or JSON export

How it works

How a document-aware PDF extractor works

Business PDFs combine labels, values, paragraphs, and repeating tables. A useful PDF extractor needs to distinguish a document-level field such as an invoice number from a repeating table such as line items or transactions.

Parsinto creates a reusable extraction structure from a sample, applies it to related documents, and keeps the result available for review. This approach works for both digital PDFs and scans while giving teams control over the exact fields in the final export.

Configurable schema

Extract the fields your workflow needs

Start with AI-suggested fields, then edit the names and table columns so the output matches your process.

Document IDs
Entity names
Dates
Addresses
Amounts
Status fields
Line items
Transaction tables
Three steps

From source document to structured output

1. Upload a sample

Start with invoices, statements, forms, reports, and other pdfs and create a dedicated Box.

2. Define and extract

Use suggested fields or edit the schema, then process related documents in a batch.

3. Review and export

Check the extracted values and download structured records ready for csv, excel, or json export.

Use cases

Built for real document workflows

Keep the extraction step focused, auditable, and easy to hand off.

Shared service teams

Standardize incoming documents before they reach finance, operations, or customer systems.

Data teams

Create a structured dataset from PDF archives and recurring document feeds.

Small businesses

Replace manual copy-and-paste with a guided extraction and review workflow.

Evaluation checklist

What to check before you scale

Handles mixed PDF layouts
Supports single fields and repeating tables
Processes related files in batches
Keeps humans in control of review

Why teams use Parsinto

Configurable output

Name the fields and table columns around your own process.

Digital PDFs and scans

Use OCR only when needed while keeping one extraction workflow.

Review before handoff

Inspect extracted values before they reach another person or system.

Portable formats

Export CSV, Excel, JSON, or PDF instead of locking data into one destination.

FAQ

Questions about PDF extractor

What data can a PDF extractor capture?+

Parsinto can capture labeled fields, paragraphs, numbers, dates, and repeating tables. The exact schema is configurable for your document type.

Is a PDF extractor the same as OCR?+

OCR recognizes characters in an image. A PDF extractor goes further by mapping recognized content into meaningful fields and tables.

Can I reuse an extraction setup?+

Yes. A Parsinto Box groups related documents and lets you reuse the same extraction template across them.

Which exports are available?+

You can export reviewed results as CSV, Excel, JSON, or PDF.

Try PDF extractor with your own document

Create a Box, upload a representative file, review the suggested fields, and see whether the output matches your workflow.

Start extracting free