Replace manual invoice keying with AI that reads any vendor invoice and extracts vendor details, line items, amounts, and tax data into structured output—automatically.
Upload any document — PDF, scan, or photo — and get structured data back immediately. No setup, no templates, no waiting.
Drag and drop invoice PDFs, scans, or photos. Set up email forwarding so invoices from vendors flow in automatically—no manual data entry required.
The AI reads vendor name, invoice number, date, due date, amounts, tax, PO reference, and line-item details. It handles any invoice layout without templates or rules.
Get structured output in Excel, Google Sheets, CSV, or JSON. Eliminate manual invoice keying and reduce data entry errors by 95% or more.
“We calculated our manual invoice processing cost at $22 per invoice. After automation, the data capture cost dropped to under $3 per invoice. At 800 invoices per month, the savings are substantial.”
“Invoice data entry errors were causing duplicate payments and vendor disputes. The error rate dropped from 3 percent to under half a percent, and our vendor relationships improved as a result.”
“We reallocated two full-time staff from data entry to exception management and vendor negotiations. They went from doing the most repetitive work to the most valuable work in the department.”
Manual invoice data entry remains one of the most expensive and error-prone processes in accounts payable. Industry research consistently places the cost of manually processing a single invoice between $12 and $30 when factoring in labor time, error correction, and exception handling. For organizations processing 500 or more invoices per month, this translates to $72,000 to $180,000 in annual processing costs—most of which is spent on the data entry step alone. Automated invoice data entry eliminates this cost center by using AI to extract data from invoices without human keying.
The errors introduced by manual data entry compound the cost problem. A mistyped invoice number prevents three-way matching. A wrong decimal in an amount creates a payment discrepancy. A missed line item throws off the GL coding. These errors require investigation and correction that costs more than the original data entry. Studies show that manual data entry error rates range from 1 to 4 percent, which in an AP department processing 1,000 invoices per month means 10 to 40 invoices per month require error correction.
AI-powered invoice data entry addresses both the cost and quality dimensions of the problem. The extraction engine reads each invoice, identifies all relevant fields, and outputs structured data with field-level confidence scores. Lido processes invoices in seconds rather than the 5 to 15 minutes that manual entry requires per invoice, and confidence scoring enables a verification workflow where only uncertain fields are reviewed by a human—rather than checking every field on every invoice.
AP leaders evaluating automated invoice data entry should calculate their current cost per invoice, error rate, and processing cycle time as a baseline. Lido typically reduces the data capture cost per invoice by 80 percent or more, reduces error rates to under 0.5 percent, and cuts processing cycle times from days to hours. Output is available in Excel, CSV, JSON, and via REST API for direct integration with ERP and AP systems.
Audited controls over a sustained period, not a point-in-time check.
Bank-grade encryption at rest and TLS 1.2+ in transit.
Documents deleted within 24 hours. No copies retained.
You upload or forward vendor invoices to Lido. The AI reads each invoice, extracts all relevant fields—vendor name, invoice number, date, line items, amounts, tax, and payment terms—and outputs structured data for your accounting system. No templates or per-vendor configuration required.
Industry benchmarks place the fully loaded cost of manually processing a single invoice at $12 to $30, including labor, error correction, and exception handling. AI-powered extraction reduces the data capture portion of this cost by 80 percent or more.
Manual data entry typically has an error rate of 1 to 4 percent. AI-powered extraction with confidence scoring typically reduces errors to under 0.5 percent, with the remaining exceptions flagged for targeted human review rather than discovered downstream.
Yes. The AI reads invoices contextually, handling any vendor layout on the first upload without templates. This means there is no setup cost per vendor and no maintenance burden as vendors change their invoice formats.
Extracted data exports to Excel, CSV, and JSON, and is available via REST API. This supports integration with any ERP, AP automation platform, or accounting system including SAP, Oracle, NetSuite, QuickBooks, Xero, and Sage.
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Built on Lido’s OCR engine
Built on Lido’s OCR engine
Built on Lido’s OCR engine
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