Convert borrower PDF bank statements into structured transaction data. Review income, recurring obligations, NSF incidents, and average balances before they go into the loan file — in minutes, not hours.
Starter from $29/mo · No card required to try
Three friction points that push loan cycle times higher than they need to be.
A standard mortgage file can include 50–120 pages of bank statements across multiple accounts. Reviewing each PDF manually for income consistency, overdrafts, and large transfers takes hours per file.
Underwriters spend 2–4 hours per file manually tracing deposits, tallying recurring payments, and flagging NSF events. That's capacity that could be spent on file decisions, not data extraction.
A secondary income deposit buried on page 14, or an NSF charge overlooked in a long statement — these are the discrepancies that create compliance risk and post-close problems.
Six data points that drive loan underwriting decisions — all pulled from the PDF automatically, all reviewable before they go into your file.
Recurring deposit patterns are visible in the structured transaction table. Filter by description to identify payroll, self-employment income, and other consistent deposit sources.
Non-sufficient funds charges and overdraft fees appear as line items in the extracted data. Reviewers can identify the date, amount, and frequency of NSF events at a glance.
Regular outgoing payments — loan payments, subscription charges, rent — appear in the transaction table for manual review. Identify undisclosed debts and payment history.
High-value transfers that could indicate undisclosed sources of funds or unusual activity are clearly visible in the structured export, sortable by amount.
Running balance data is extracted alongside each transaction. Calculate average daily or monthly balances directly from the exported spreadsheet.
Payroll deposits are typically identifiable by description. The verbatim payee/description field in the extracted data matches what appears in the original statement.
Four capabilities that reduce review time without removing the underwriter from the process.
AI identifies recurring deposit patterns and labels them in the extracted table. Underwriters confirm, not discover — significantly faster than manual review.
NSF charges and overdraft fees are extracted as line items. Filter the transaction table to surface all NSF events across a 6-month statement package in seconds.
Payments with matching descriptions across multiple periods are identifiable by sorting the transaction table — supporting undisclosed debt analysis.
The full transaction table exports to Excel. Underwriters can apply their own filters, pivot tables, and formulas for income averaging and debt analysis.
Four steps from borrower submission to structured data in the loan file.
Borrower submits 3–6 months of bank statements as PDFs. Any bank format accepted.
Upload the statement PDFs to Documentric. AI processes each file in under 30 seconds.
Side-by-side PDF and transaction table view. Verify deposits, flag NSF events, and check recurring obligations.
Export to Excel. Include the structured transaction data alongside the original PDF in your loan file.
"6x cheaper than competitors and the accuracy is on par. We run every borrower statement package through Documentric now before the underwriter touches the file. Review time is down significantly."
Based on processing 25 loan applications per month at 20 pages of statements each (500 pages).
Documentric achieves 99% extraction accuracy on digital PDF bank statements. All extracted data is presented in an inline review table alongside the original PDF — underwriters verify every figure before it enters the loan file. The tool extracts verbatim data; income calculations and underwriting decisions remain the responsibility of the reviewer.
Yes. Documentric's AI handles both digitally-generated PDFs and scanned image PDFs. Scanned documents may have slightly lower accuracy depending on scan quality. An inline review step lets underwriters correct any OCR errors before the data is used.
Documentric produces structured transaction data that mirrors the content of the original PDF statement. The extracted data and the exported Excel file can be included in a loan file as a working document. Always retain and reference the original PDF statement as the primary source document.
A typical 3-month bank statement package is 10–20 pages. At the Starter plan ($29/mo for 500 pages), that works out to roughly $0.58–$1.16 per application. Most lenders processing 25+ applications per month find the Professional plan ($79/mo, 2,000 pages) more cost-effective.
Related resources