LenderAnalyzer reads every invoice, purchase order, expense report, and bank statement your team touches and delivers structured data straight into your ERP or accounting system — no templates, no manual keying.
Industry data shows that finance teams spend 60–70 % of AP staff time on data entry, matching, and chasing approvals — work that should never touch human hands.
Invoice arrives as a PDF email attachment. Someone opens it, types vendor, date, and every line item into the ERP. One document: four minutes.
PO matching is manual: the AP clerk opens three tabs — invoice, PO, goods receipt — and eye-checks them. Discrepancies go to email.
Bank statement reconciliation means exporting a CSV, copy-pasting transactions, and flagging unmatched rows row-by-row at month-end.
Expense reports arrive as scanned PDFs. Finance re-keys every line, checks policy limits, and codes GL accounts — then does it again in the ERP.
Invoice PDF → LenderAnalyzer → structured JSON → posted to ERP in under 20 seconds. Zero keystrokes.
Three-way PO match runs automatically. Exceptions surface in the review queue with the discrepancy highlighted.
Bank statement transactions extracted line-by-line, matched to ledger entries, unreconciled items flagged — no spreadsheet pasting.
Expense receipts read in bulk. GL codes suggested, policy violations flagged, and a ready-to-approve batch exported.
LenderAnalyzer reads the full spectrum of finance and accounting documents — scanned paper, PDF email attachments, portal exports, and photographed receipts.
Vendor name and address, invoice number, PO reference, issue date, due date, payment terms, line items with GL codes, subtotal, tax, and total — extracted from any vendor layout, first time.
PO number, vendor, ordered items, quantities, unit prices, delivery date, and authorising department — ready for three-way matching.
Merchant, date, amount, currency, payment method, and category — extracted from paper receipts, photos, and digital PDFs in bulk.
Every transaction row extracted with date, description, debit, credit, and running balance — structured and ready to reconcile.
Credit note number, linked invoice reference, amounts, and reason codes extracted for accurate ledger offset posting.
VAT invoices, W-9 / W-8BEN forms, 1099s, and local tax filings parsed and structured for compliance workflows.
Goods received notes, packing lists, and delivery confirmations extracted to complete the three-way AP match automatically.
LenderAnalyzer slots into your existing AP stack — no rip-and-replace. Send documents in via email, API, or SFTP and receive structured data back in seconds.
Invoices arrive by email, portal, scan, or API upload. LenderAnalyzer ingests PDFs, TIFFs, and photos — scanned or digital, single-page or multi-page.
AI reads every header field and line item, applies GL code suggestions, and assigns a confidence score per field. High-confidence batches pass straight through.
Extracted data is checked against open POs and GRNs. Matched invoices advance automatically; mismatches and low-confidence fields route to a focused review queue.
Approved invoices are pushed directly to NetSuite, QuickBooks, Xero, or SAP via API — or exported as a structured CSV / JSON batch for upload.
No custom middleware. LenderAnalyzer outputs structured data matched to the import schema of leading ERP and accounting platforms, or delivers raw JSON for your own integration layer.
{
"document_type": "ap_invoice",
"confidence": 0.994,
"fields": {
"vendor": "Meridian Office Ltd",
"invoice_number": "INV-2026-4471",
"po_reference": "PO-88120",
"issue_date": "2026-05-12",
"due_date": "2026-06-11",
"currency": "USD",
"subtotal": 13000.00,
"tax": 1320.00,
"total": 14320.00
},
"line_items": [
{ "description": "Ergonomic desk chairs x12",
"qty": 12,
"unit_price": 750.00,
"gl_code_suggested": "6500-Equipment" }
],
"po_match_status": "matched"
}Finance teams that deploy LenderAnalyzer report material reductions in manual processing time within the first billing cycle — often without any headcount increase.
We process 8,000 supplier invoices a month. LenderAnalyzer replaced the entire manual keying step — data posts to NetSuite automatically and the three-way match exception rate dropped below 3%.
"Month-end used to take 9 days. LenderAnalyzer wiped out the statement reconciliation step and we now close in 5. The audit log is cleaner than anything we had before."
"The GL code suggestions on expense receipts were accurate enough to route 90 % of claims straight to approval. Our team now reviews exceptions, not everything."
Finance operations face increasing scrutiny. LenderAnalyzer provides the controls, logging, and segregation of duties that internal audit and external reviewers require.
Every document, every extracted field, every reviewer action, and every ERP post is timestamped and stored.
Separate roles for AP clerks, reviewers, and controllers. Approvers cannot also be the submitters.
Independently audited security and availability controls — documentation available for your InfoSec review.
TLS 1.2+ in transit, AES-256 at rest. Documents are never shared or used for model training.
Documents can be purged from LenderAnalyzer infrastructure immediately after extraction is confirmed.
Enterprise identity via your existing IdP. Automatic provisioning and de-provisioning via SCIM.
Common questions from controllers, AP managers, and CFOs evaluating LenderAnalyzer for finance automation.
Talk to our finance teamYes. The AI reads new vendor layouts on the first document with no configuration required. There is no per-vendor template to build or maintain. You can optionally define a preferred field mapping for any vendor, but it is not necessary.
LenderAnalyzer extracts the PO reference, line items, quantities, and amounts from the invoice. Your AP system (or our API) can then compare that against the open PO and goods receipt note to perform the three-way match and flag discrepancies automatically.
LenderAnalyzer outputs structured JSON and standard CSV/XLSX formats compatible with NetSuite, QuickBooks Online, Xero, SAP S/4HANA and ECC, Microsoft Dynamics, and any system that accepts structured imports. Custom field mapping is available on enterprise plans.
Currency codes are extracted as a discrete field alongside amounts. You can configure exchange rate lookup or pass the raw amounts through for your ERP to handle conversion.
LenderAnalyzer assigns a confidence score to every extracted field. Fields below your configured threshold are routed to a human review queue where an AP clerk can verify or correct the value before it is posted. Approved documents move straight through.
LenderAnalyzer provides a full immutable audit log of every extraction, reviewer action, and system post. Role-based access controls enforce segregation of duties. Documentation for SOC 2 Type II is available upon request under NDA.
Start extracting AP invoices, expense reports, and bank statements today — or talk to our team about a pilot for your accounting stack.