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Extract data from documents that never look the same twice

Every vendor, every form, every scan is laid out differently - and template-based tools break on the first one they haven't seen. DocuPipe reads documents the way a person does, so one schema works across every layout. No templates, no rules, no per-vendor setup.

A dense, legacy-format document
A clean, modern-format document

STRUCTURED OUTPUT

vendor"Atlantica Intl."
invoiceNumber"71131930"
total11676.42
currency"USD"

When AWS Textract couldn't handle their varied documents, DocuPipe could

“Data entry was our limiting factor to growth. We tried AWS Textract and it couldn't handle our documents. DocuPipe turned hundred-page batches of wildly different layouts into clean, structured data ready for federal upload.”

Jennifer Bauer

Jennifer Bauer, Owner

Read the full story →
Political Financial Management

The problem

Why this is hard to automate

Templates break the moment the layout changes

Position-based and template tools assume a field is always in the same spot. The instant a vendor reformats, a new supplier sends a different form, or a scan is rotated, the extraction silently fails - and someone has to notice, debug, and rebuild the template.

You can't pre-build a template for every layout

When documents come from hundreds of sources - invoices from every vendor, forms from every counterparty - the template approach doesn't scale. You'd spend more time maintaining templates than processing documents.

How it works

One schema. Any layout. Zero templates.

Instead of telling the system where a field is, you tell it what the field means. DocuPipe's models understand document structure, so the same schema extracts cleanly whether the document is a crisp PDF, a phone photo, or a layout you've never encountered.

1

Describe the fields once

Define what you want in plain language - vendor name, total, line items, dates. You never reference positions, coordinates, or layouts. This is the only setup.

2

Throw any document at it

Clean PDFs, crooked scans, photos, mixed-format batches from a hundred different sources. DocuPipe reads each one on its own terms - no per-layout configuration.

3

Get the same clean output every time

Structured JSON or CSV with the fields you asked for, plus confidence scores and source citations - identical shape regardless of how the input was laid out.

The same schema reads a dense legacy invoice and a clean modern PO into the identical field structure.

The same schema reads a dense legacy invoice and a clean modern PO into the identical field structure.

Document types

Built for the messy reality of real documents

Invoices from any vendor

Every supplier formats invoices differently. One schema pulls vendor, totals, and line items across all of them - no per-vendor template.

Purchase orders & bills of lading

Mixed batches of POs, export invoices, and shipping docs in wildly different layouts, extracted into one consistent structure.

Forms & applications

Intake forms, applications, and questionnaires that differ by source, including handwritten fields and check boxes.

Statements & reports

Bank statements, financial reports, and statements whose layout changes by institution and reporting period.

Contracts & agreements

Leases, NDAs, and service agreements where the same clause sits in a different place in every document.

Scans & photos

Rotated, skewed, low-quality scans and phone photos, handled by agentic OCR before extraction.

Why DocuPipe

Built for speed, scale, and accuracy

0

templates to build, maintain, or update when a new layout shows up

95%+

field-level accuracy across formats you've never seen before

<30s

from a brand-new layout to structured data, with zero configuration

1B+

pages processed across every document type imaginable

Live Demo

See it in action

Try one of our sample documents or upload your own

Sample Document

bill-of-lading.pdf

PDF FILE

export-invoice.png

PNG FILE

purchase-order-1.jpeg

JPEG FILE

purchase-order-2.png

PNG FILE

purchase-order-3.pdf

PDF FILE

Upload your own

Drag a document to the drop zone to get structured results.

Drop document here

Drag a sample from the left or upload your own to see how we standardize it.

Who this is for

Teams that put this on autopilot

Operations teams

Stop rebuilding templates every time a vendor changes a form. Process documents from any source with one schema that never needs per-layout maintenance.

Software builders

Embed extraction that works on documents you've never seen, so your product handles whatever your users upload - no template library to ship or maintain.

Finance & back office

Reconcile invoices, statements, and POs from hundreds of counterparties without a template for each one. Consistent structured output, every format.

Security & compliance

Enterprise-grade security you can trust

SOC 2

SOC 2 Type II

SOC 2 reports are available through our trust center.

ISO 27001

ISO 27001

ISO 27001 certification is part of our security program.

GDPR

GDPR

Paid teams can select Europe as their storage region for new uploads.

Frequently asked questions

Template and forms-based tools learn the position of each field on a specific layout. They work until the layout changes, then they break and need to be retrained or rebuilt. DocuPipe doesn't use positions - its models read the document for meaning, so the same schema extracts correctly across layouts it has never seen, with no per-layout setup.

No. That's the whole point. You define your schema once based on what the fields mean, and it applies to every new layout automatically. A new vendor, a reformatted invoice, or a document type you've never processed all flow through the same schema with no changes.

DocuPipe runs agentic OCR that handles rotated pages, skew, poor scan quality, and handwritten fields before extraction. Variable layout and variable quality are handled together - you don't need a separate pipeline for messy inputs.

Yes. Drop in a batch of mixed documents in different formats and DocuPipe identifies document boundaries, splits them into individual documents, and extracts each according to your schema - no manual sorting.

For typed documents we typically achieve 95%+ field-level accuracy, including on layouts that are new to your account. Every field comes with a confidence score and a citation back to its location in the source, so low-confidence extractions can be routed to human review.

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