Instantly validate & extract data from
any document

Extract is built to handle both structured and unstructured documents. This includes standard financial documents like bank statements, pay stubs, and tax forms, as well as less standardized formats like invoices and utility bills. Our engine is specifically trained to maintain high accuracy even on "messy" documents, including low-resolution scans, tilted pages, or non-standard layouts common in emerging markets.

We use a multi-layered validation process. First, we classify the document to ensure it matches the expected type. Then, we perform the extraction using specialised language learning models. Finally, we validate the data extracted against rules set by our customers to flag any inconsistencies for manual review.

Yes. While we provide pre-configured schemas for common documents (like KYC/KYB files), you can define custom schemas to extract specific data points unique to your business process. Our API allows you to map these fields directly into your existing database.

Yes. Our models are trained to extract data from any document in any language.

Data is delivered via a structured JSON response through our API. This makes it easy to map directly into your CRM, ERP, or Loan Origination System (LOS) without additional manual formatting.

Most single-page documents are processed in under 5 seconds. For multi-page files like bank statements, processing time scales with page count, but is typically completed in near real-time, allowing for a seamless user experience during onboarding.

Absolutely. We use enterprise-grade encryption for data in transit and at rest. We also offer flexible data retention policies, allowing you to choose how long (if at all) document data is stored on our servers after extraction is complete. You may also bring your own storage bucket and encryption keys.