Commercial lenders require speedy, accurate data from scans or PDFs of financial documents to enable timely decision-making. Unfortunately, extracting the data from underwriting documents can be slow and cause client communication delays.
Moreover, the complex structure of financial documents makes it difficult for traditional OCR technology to extract data correctly. Extracting data from bank statements and invoices, in particular, is often challenging, as they contain vast amounts of information but vary significantly in structure across banks and providers. When using outdated data extraction tools, manual intervention is required to correct processing errors which wastes valuable employee time.
However, many underwriting firms balk at trying a more advanced approach to data extraction, believing that contemporary data automation technologies cannot integrate smoothly into their current IT and financial systems.
We’ve worked with some of the biggest commercial lenders worldwide to develop an impressively fast, end-to-end data automation solution for bank statements, invoices, balance statements, etc. Our IDP product has a sophisticated understanding of financial terminology and can quickly read and extract from complex financial tables.
So, automating your data is as simple as 1-2-3: upload the documents, and our technology will extract the relevant data and output it into a file destination of your choice. Whatever the data field, or the document type, we’re your one-stop solution.
Our managed service guarantees complete accuracy (including line items), with any errors corrected and validated by our human-in-the-loop (HITL) service. All data is captured accurately and in a structured format, even from documents in foreign languages.
Account Number
Account Holder Name
Date
Starting Balance
Final Balance
Transaction Reference Number
Recipient Account Number
Account Number
Account Holder Name
Date
Starting Balance
Final Balance
Transaction Reference Number
Recipient Account Number
Company Name
Dates
Assets
Liabilities
Profits
Expenses
Depreciation
Line Items
Net Total
VAT/ Tax
Invoice Number
Invoice Date
Due Date
Payment Terms
Account Number, Account Holder Name, Date, Starting Balance, Final Balance, Transaction Reference Number, Recipient Account Number
Company Name, Dates, Assets, Liabilities, Profits, Expenses, Depreciation
Line Items, Net Total, VAT/ Tax, Invoice Number, Invoice Date, Due Date, Payment Terms
