AI reads invoices from any vendor format and extracts line items, totals, tax, and PO numbers into structured data. No templates, no training, no per-vendor setup.
Drag and drop files, connect a cloud drive, or set up email auto-forwarding. Any file format works—PDF, JPEG, PNG, TIFF, or digital documents.
The AI identifies fields by context and meaning, not fixed coordinates. Names, dates, amounts, and custom fields are extracted automatically.
Get structured output in Excel, Google Sheets, CSV, or JSON. Use the REST API for direct integration into your systems.
“We receive invoices from 400+ vendors and every single one has a different layout. This tool reads them all correctly without any template setup. Our AP backlog dropped from three weeks to two days.”
“Line-item extraction was the deal-breaker for us. Other tools grabbed the header fields fine but choked on multi-page line items. This nails it every time, even on 50-row invoices.”
“We set up email forwarding from our AP inbox and now every invoice is automatically extracted into a Google Sheet with the PO number matched. It eliminated our entire manual keying process.”
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.
AI invoice OCR uses computer vision models to read vendor invoices the way a human would—by understanding field labels, table structures, and document context rather than relying on fixed coordinates or pre-configured templates. This means a single extraction engine handles invoices from any vendor, in any layout, on the first upload. The AI identifies line items, quantities, unit prices, tax breakdowns, PO references, and payment terms without per-vendor configuration.
Accounts payable teams that process invoices from dozens or hundreds of vendors face a specific scaling problem with template-based OCR: every new vendor layout requires a new template, and any format change from an existing vendor breaks the existing one. Over time, template maintenance becomes a full-time job. AI invoice OCR eliminates this entirely because the model reads each document fresh, adapting to whatever layout it encounters.
The practical impact goes beyond time savings. When invoice data flows directly into a spreadsheet or ERP system with per-field confidence scores, AP teams can focus review time on the small percentage of fields that fall below their accuracy threshold. Lido provides this confidence scoring on every extraction, so teams processing thousands of invoices monthly can maintain accuracy without reviewing every single document.
For organizations evaluating AI invoice OCR, the critical test is line-item extraction accuracy across varied vendor formats. Header fields like invoice number and date are straightforward for most tools, but correctly parsing multi-row line-item tables with grouped subtotals, discount lines, and tax breakdowns is where AI-powered extraction separates itself from legacy OCR.
Template-based invoice scanning requires you to map extraction zones for every vendor layout, which breaks whenever a vendor changes their invoice format. AI invoice OCR uses vision models that read invoices contextually, identifying line items, totals, tax amounts, and PO numbers by understanding what the fields mean rather than where they sit on the page.
AI invoice OCR extracts header fields like vendor name, invoice number, invoice date, due date, and PO number along with line-item details including description, quantity, unit price, line total, and tax. It also captures summary fields such as subtotal, tax amount, shipping, discounts, and grand total. Custom AI columns let you extract non-standard fields specific to your vendor invoices.
Yes. AI invoice OCR processes multi-page invoices as a single document, stitching line items that span page breaks into one continuous table. It handles nested line items, grouped subtotals, and invoices with hundreds of rows without losing context across pages.
Most teams start by setting up email auto-forwarding so invoices arriving in a shared AP inbox are automatically ingested. Extracted data flows into a spreadsheet or directly into your ERP via API. Lido supports email forwarding intake, REST API integration, and direct export to Excel, Google Sheets, CSV, or JSON for import into systems like QuickBooks, NetSuite, or SAP.
AI invoice OCR typically achieves 96 to 99 percent field-level accuracy on standard vendor invoices. Accuracy depends on scan quality and document complexity, but AI consistently outperforms manual entry because it does not fatigue or transpose digits. Per-field confidence scores let your AP team set a review threshold and only manually check low-confidence extractions.
Start free with 50 pages. Upgrade when you’re ready.
Built on Lido’s OCR engine
Built on Lido’s OCR engine
Built on Lido’s OCR engine