Lido extracts structured data from your documents and immediately checks it against your reference tables, vendor lists, product catalogs, rate sheets, approved PO numbers. Mismatches are flagged with confidence scores before anything enters your ERP or database.
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Lido reads each incoming document, invoice, PO, contract, rate confirmation, and extracts the structured fields you define: vendor, amount, item codes, dates, quantities.
Extracted values are checked against your reference tables in real time: approved vendor list, product catalog, contracted rates, open PO numbers. Fuzzy matching handles name variations and formatting differences.
Records that pass all checks move forward automatically. Exceptions, mismatches, missing fields, low confidence, are flagged and routed to a review queue with the extracted values and the reference data side by side.
Upload a batch and get structured output in minutes.
Your team extracts data from documents (or pays someone to key it in) and enters it into the system. Vendor names are slightly wrong. Invoice amounts don't match the PO. Item codes reference products that no longer exist. These errors surface weeks later when reconciliation fails, payments go to the wrong vendor, or audits find discrepancies. By then the source document is hard to find and the correction takes hours.
Lido checks every extracted value before it enters your system. Vendor names are matched against your approved list. Amounts are compared against PO totals and contracted rates. Item codes are validated against your catalog. Exceptions are surfaced immediately, with the source document and the reference data visible side by side for fast resolution.
| Feature | Lido | Manual / Basic extraction |
|---|---|---|
| Validate extracted values against reference tables | ✓ | ✗ |
| Fuzzy-match vendor names and entity variations | ✓ | ✗ |
| Confidence scores on every extracted field | ✓ | ✗ |
| Route exceptions to a human review queue automatically | ✓ | ✗ |
| Catch rate and amount discrepancies before ERP entry | ✓ | ✗ |
| Extract text from documents | ✓ | ✓ |
Catching errors at the source means less reconciliation, fewer corrections, and cleaner downstream data from day one.
Extract invoice fields and automatically match against open POs and goods receipts. Flag invoices where the amount, vendor, or line items don't match approved purchase orders.
Extract payer remittance data and compare each CPT code's allowed amount against your contracted fee schedule. Flag underpayments and denied codes for follow-up before they age out.
Extract rates from carrier invoices and match against the rate confirmation you issued. Flag overbillings and missing accessorial charges before payment.
Extract key terms from incoming contracts and compare against your standard terms library. Flag deviations in payment terms, liability caps, or termination clauses for attorney review.
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