Lending
Bank statements and income docs to cited transactions
Multi-page statements become stitched transaction tables; pay stubs and tax returns map to income schema. Missing stays null — never invented.
Challenge / Solution
Without Fieldry. With Fieldry.
Credit decisions run on documents applicants upload themselves: statements from five banks, pay stubs as photos, tax returns in odd layouts.
After emphasis: 50%
Dozens of pages per applicant, each bank with its own layout. Analysts scroll instead of decide.
Pay stubs, tax returns and employer letters disagree in format — and sometimes in numbers.
A single hallucinated income figure poisons the whole scorecard. Guessing is not an option.
Somebody still retypes transactions into spreading sheets, row by row, before underwriting starts.
Statements as tables
Fieldry
Income schema mapping
Fieldry
Null, not invented
Fieldry
Cited everything
Fieldry
Key benefits
Decisions on cited transactions, not OCR dumps.
Same-day spreading
From upload to underwriting-ready rows in one call; bulk portfolios drain through batch.
Any bank layout
No per-bank templates. New statement format parses against the same schema on day one.
Fraud-aware by default
Edited statements and inconsistent totals raise forensics signals before they reach credit.
Transparent cost
4 credits per page, +2 with tables. Every response shows exactly what the call cost.
Spread your toughest statement
Upload a real multi-page statement on free credits and check the stitched rows against the PDF.
Get startedRelated products
Related use cases
Transaction tables are stitched across page breaks into one dataset with running-balance continuity. Repeated headers are detected so they never leak into the data.
Cross-field checks compare totals against row sums and income across documents. Mismatches return status mismatch with evidence on both sides — your policy decides, not the parser.
No — Fieldry parses the documents applicants provide. It pairs well with open-banking feeds as an independent check, not a replacement.
Yes. Every transaction links to its page and bounding box, so verification is a click, not a scroll through fifty pages.
Parse your first document today
One API for extraction, evidence and automation.