Validate extracted data against your source of truth

Confirm extracted values match trusted records, standardize them automatically, and validate related data before it flows downstream with data sources in Affinda.

Data matching in action

PO matching

Match extracted PO numbers to your ERP to validate invoice amounts, auto-fill supplier details, and ensure totals align with approved purchase orders.

Contract lifecycle

Extract key contract terms and validate them against internal policies, approval workflows, and system records to ensure obligations, pricing, and dates are accurate before execution or renewal.

General ledger validation

Map extracted GL codes or descriptions to your chart of accounts to standardize coding and prevent misallocations downstream.

Identity resolution

Match extracted names, addresses, and identification numbers against internal systems and trusted data sources to verify identities, reduce fraud risk, and prevent duplicate records.

Supplier matching

Confirm extracted supplier names, tax IDs, or bank details match approved vendor records and standardize them before payment.

Logistics reconciliation

Reconcile extracted shipment details against carrier invoices, proof-of-delivery documents, and logistics systems to confirm quantities, charges, and delivery status before settlement.

Machine validation built into your workflows

Match extracted data against trusted records

Automatically cross-check extracted fields against your ERP, CRM, vendor master data, or other systems of record before data moves downstream. This ensures only verified, consistent information progresses through your workflow.

Standardize data to match your source of truth

Normalize extracted values such as names, codes, formats, and identifiers to align with your internal standards and master data. Clean, standardized outputs reduce rework and prevent downstream inconsistencies.

Use related data for validation rules

After an extracted field is matched to a specific record in your data source, other document fields can be checked against the associated values in that same row. This allows you to confirm totals, dates, or codes align with the source of truth before the document moves downstream.

Flag documents for review

When validation rules are not met, documents are automatically routed for human review within the platform. Your team resolves exceptions in context, ensuring only validated, decision-ready data moves downstream.

Connect Affinda to your master data

Connect your data sources via API. When master data changes, your mapping and validation rules update automatically.

Integration platform and software logos

Beyond data matching

Straight-through processing
Table extraction
Data transformations
Integrations

Discover the platform

Extract any information from any document and integrate it easily with your existing systems. Find out how.

See pricing, plain and simple

No up-front costs. No lock-in contracts. Just pay for what you use.