Make data trustworthy before your systems act on it.

Staple ingests documents and data from any source, structured or unstructured, in any format or language. It checks the source, extracts and verifies the content, and makes it audit-ready before it enters your systems. That is the first mile of data processing.

Document fraud detection

Extraction in 300+ languages

Cross-source reconciliation

Global e-invoicing

Verifiable AI trust layer

Book a Demo

Where enterprises put Staple to work

Content Image

Invoice and accounts payable automation

One platform for paper invoices, PDFs and e-invoices across countries, languages and ERPs. Staple extracts, translates and validates every invoice, checks e-invoices with the tax authority, matches each invoice to the purchase order and goods receipt, and flags mismatches before anything is posted to SAP Concur, Yonyou or your ERP.

Read more about invoice processing
Content Image

KYC, AML and fraud checks for financial services

Banks, insurers and lenders make onboarding and underwriting decisions on documents customers submit. Staple checks each file for tampering, verifies the data against the application and trusted sources, cross-checks identity, income and banking evidence, and keeps an audit-ready record of what was checked and why a case was escalated or cleared.

Explore KYC and KYB verification
Content Image

E-invoice compliance

One platform for every country. Connect to tax authorities worldwide, handle AP and AR in the same flow, and stay ahead of mandates without a new IT project every time regulations change.

Read more about global e-invoicing
Content Image

Document processing inside your AI assistant

Your teams already work with AI assistants. Connect Staple to them and employees can drop invoices or receipts into the chat and ask for what they need. Staple extracts, translates, validates and reconciles the data, maps it to your master data, and returns structured results with a record of how each field was produced.

We check the document,
verify the data and prove the output

Document:
Can the document be trusted?

Before a single field is extracted, Staple checks the trustworthiness of the document. File metadata analysis, pixel-level anomalies, provenance verification and document forensics catch edits the eye cannot see. Every document gets a label so reviewers see which documents need attention.

Know more

Data:
Is the data accurate, verified, and consistent?

Staple processes data across 300+ languages and verifies it. AI contextual verification, external validation with tax authorities and trusted sources, internal business rules and anomaly checks, and reconciliation across documents to identify exceptions, all before data reaches your systems.

Know more

Trust:
Can every result withstand an audit?

Every field carries its full processing history: what was extracted, how, by whom, and under which rules. Results are cryptographically sealed. Any unauthorized change is immediately visible. This is what makes it audit-ready data.

Know more

See how Staple AI's intelligent document processing works

Most document processing stops at extraction. But that's where the risk starts.

Documents arrive in different formats: PDFs, scans, spreadsheets and photos. Your team processes them, pushes data downstream, and chases errors by hand.
‍
Then an auditor asks where a number came from. A file has been tampered with. A figure doesn't add up. And nobody can trace the source. Because extracted data is not the same as verified data.

‍The first mile is where data risk starts. Staple stops it at the source.

Content Image
Content Image

What our customers say

Book a Demo
Review Cover

“Staple AI became another team member for us. The tool processes high invoice volumes with minimal effort, pushes data into our warehouse management system automatically, and significantly reduces errors. It has truly transformed how we handle invoice processing."

Robert Habib

Senior Director, Finance Business Services, foodpanda

Review Cover

"Our company is using another OCR tool that struggles to recognise dot-matrix documents, however, it worked perfectly with Staple at almost 100% accuracy."

Regional IT Manager

Global Luxury Brand

Review Cover

“Feedback from the various teams is tremendous and encouraging. We have already implemented Staple AI for a global telecom giant client.”

Partner

Big 4 Professional Services Firm

Review Cover

“There is a lot of excitement around Staple internally. There are just so many potential applications for Staple to deliver automation to the broader group.”

Delivery Lead

Global Bank

Review Cover

"We can find extraction tools from a number of vendors today, but what Staple provides is so much more. You have explainability, audit trails, and liability protection from regulators, to whom we need to demonstrate ongoing compliance year in and year out. This is the elevated protection that Staple provides."

Head of Audit

Major Insurer

Results from enterprises like yours

Global insurance provider automates document processing at scale with intelligent compliance automation

Global Insurance

A global insurance provider managing £108.9B across 500,000+ customers needed sensitive data redacted and defensible under audit. Staple handled it at scale, across formats and languages, with no templates.

Global consolidation: millions of documents across formats and languages
‍
- Flexibility: template-free across formats, layouts, and languages

- Extensibility: ingests via S3 and SFTP, syncs securely across environments

- Robustness: 98.95% accuracy in data capture and redaction, with AML and PCI DSS requirements met through secure auditability

- Efficiency: 60 to 70% less manual processing time

Content Image

Global investment bank turns documents into audit-ready data at scale

Global Investment Bank

A global investment bank ran document processing across 5+ countries, with teams drowning in non-standardized formats, layouts, and languages. Staple consolidated it onto one platform, no templates to maintain, no rules to rewrite as complexity grew.

Global consolidation: one platform across 5+ countries and every document type
‍
- Flexibility: 800+ templates eliminated, handles hundreds of formats with no configuration

- Extensibility: integrated through API and SSO into existing enterprise systems

- Robustness: real-time reconciliation of values, quantities, and line items at 3 to 6 seconds per document

- Results: 98% AI data extraction accuracy, 85%+ straight-through processing, 10,000+ documents a month

Content Image

See Staple process your documents

Book a 30-minute demo with a document processing specialist.

Book a Demo

Not ready yet?

Take your time to decide.

Read the foodpanda case study

Intelligent document processing FAQs

What is intelligent document processing (IDP)?

Intelligent document processing (IDP) uses AI to read documents such as invoices, bank statements and IDs and turn them into structured data. Staple adds two steps most IDP tools skip: it checks each file for tampering before extraction, and it verifies the extracted data against business rules, external sources and related documents, with an audit trail on every field.

What is the difference between data extraction and data verification?

Data extraction converts document content into structured data. Data verification checks whether that data is accurate, consistent and trustworthy. Most document processing tools stop at extraction. Staple adds AI contextual checks, validation against tax authorities and business registries, reconciliation across related documents and your own business rules, all in one pipeline.

How does Staple detect tampered or AI-generated documents?

Document fraud detection checks a file's metadata, structure and pixels for signs it was edited, forged or generated. Staple preserves the original, verifies provenance where signed credentials exist, inspects metadata, PDF structure and visual anomalies, and gives each file one of five results: Provenance verified, No issue detected, Review required, Integrity issue detected or Unable to assess.

What is the first mile of data processing?

The first mile of data processing is the point where documents from outside an organisation enter it. They arrive in formats, languages and layouts you don't control, which is where tampering, extraction errors and unverifiable data create the most downstream risk. Staple processes and verifies documents at this point, before data reaches ERP, accounting or compliance systems.

How does Staple automate invoice processing and three-way matching?

Invoice processing automation captures invoice data, validates it and matches it to purchase orders and goods receipts before posting. Staple processes paper invoices, PDFs and e-invoices on one platform in 300+ languages, reconciles up to 10 related documents and flags mismatches, so your AP team reviews only the exceptions.

Which countries does Staple support for e-invoicing?

E-invoicing mandates require invoices in a structured format, often validated by the tax authority. Staple validates e-invoices with tax authority networks in countries including China, Singapore, Malaysia, Germany, Poland, Mexico and India, and handles them alongside paper and PDF invoices on the same platform.

Can I use Staple inside my AI assistant?

Yes. Staple connects to AI assistants through MCP (Model Context Protocol), an open standard that lets assistants use outside tools. Employees drop invoices or receipts into the chat and ask for what they need. Staple extracts, translates, validates and reconciles the data, and returns structured results with a record of how each field was produced.

Does Staple replace my ERP or AP system?

No. Staple sits before your ERP, AP or expense system and sends it verified data. It connects to SAP ERP, SAP Concur and Yonyou through pre-built modules and to other systems through APIs, so your teams keep the tools they use today.

Who decides when Staple flags a document?

People make the decision. Staple checks, extracts, verifies and flags, routes items that need attention to the right reviewer, and records every edit, approval and reviewer with a timestamp, so each decision can be reconstructed in an audit.