Bank Statement Capture

Bank Statement Data You
Can Trust.

Xtracta automates bank statement extraction for lending platforms, financial services, compliance teams, and software companies. Every transaction from every statement, validated against opening and closing balances, and delivered as clean, structured data into your systems. No templates. No manual keying. Set and forget.

Every transaction extracted and structured in seconds

Opening and closing balances validated automatically

Mixed documents sorted and routed to the right workflow

Outlier transactions flagged for human review

Lending decisions backed by verified data, same day

Validation That Catches What Humans Miss

Mathematical checks across opening balance, closing balance, and every transaction in between. Database lookups and third-party validation integrations. You can trust the data before it reaches your downstream systems.

Outlier Detection Built In

Flag unusual transactions for human review using configurable rules and external data service lookups. Statements can be automatically scored to determine risk profiles based on the number and type of exceptions found.

Drop a Hundred Documents In. Xtracta Finds the Bank Statements.

The engine identifies bank statements within large mixed-document uploads, separates them from other document types, and routes each through the right workflow. Multi-page PDFs split automatically. No manual sorting.

End-to-End Workflow Management

Queue handling with multiple stages (QA, rejection handling), document tracking, and easy-to-use data correction screens. Use these optionally through the API to manage the full processing pipeline without building your own.

Applicants, clients, and internal teams can submit statements however they already work.

API Upload
Email
SFTP (bulk)
Web Portal (drag and drop)
Mobile App
PDF
Scanned images
JPG
PNG
TIFF
Multi-page documents
Mixed document bundles
  • Paperless Environments

    Paperless Environments’ construction clients were trapped by template-based OCR that broke whenever a subcontractor changed an invoice format — so only 4–5% used it. After embedding Xtracta’s self-learning AI into its pVault platform, manual data entry dropped 60–70% and OCR adoption among new clients soared from 5% to 70%.

    Read the case study arrow pointing to the right: Paperless Environments
  • Central Otago District Council

    After moving to MAGIQ Cloud, Central Otago District Council’s legacy extraction tool turned unreliable and couldn’t support modern authentication. Switching to Xtracta brought self-learning capture and custom compliance checks that flag fields red or green — so operators review only exceptions, compliance is stronger, and staff can process invoices from anywhere.

    Read the case study arrow pointing to the right: Central Otago District Council
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