Free OCR invoice scanner for automated data entry

Invoice scanning is the process of using OCR (optical character recognition) and AI to read a supplier invoice PDF and convert it into structured data. Instead of a finance team member typing the supplier name, invoice number, invoice date, PO reference, totals, tax and line items into an accounting system or spreadsheet, the scanning software extracts those fields automatically. The result is a structured record that can be reviewed, corrected and moved into an AP workflow without rebuilding the invoice data by hand.

Invoice scanning software works in four stages. First, the invoice PDF is uploaded to the system. Second, OCR reads the document and extracts the raw text from every line. Third, AI analyses the text and maps it to recognised invoice fields — supplier name, VAT number, invoice number, invoice date, purchase order reference, currency, net total, tax total, gross total and line-item detail. Fourth, the structured data is returned for a finance team member to review, check exceptions and move into the wider AP workflow. The demo on this page walks through all four stages with a real PDF invoice.

Automated invoice data entry means the key fields on a supplier invoice are extracted by software and made available for review, rather than being typed manually into an accounting system, AP workflow or spreadsheet. Finance teams that handle large volumes of supplier invoices use automated data entry to reduce repetitive keying, lower error rates, and give accounts payable a cleaner starting point for checking, coding and approving invoices. Zahara's invoice scanning demo is a free way to preview what automated data entry looks like with a real invoice.

No. The invoice scanning demo processes your PDF only for the purpose of showing the extraction result. The file is not stored, saved to a document library, or used after the demo session ends. The demo is designed as a temporary, zero-commitment preview of how invoice scanning works.

The demo extracts supplier name, supplier VAT number, invoice number, invoice date, purchase order or order reference, currency, net total, tax total, gross total, and line-item detail including descriptions, quantities, unit prices and tax rates. Where the invoice maths has discrepancies, a reconciliation note is also shown. In the full Zahara product, this extracted data can then be reviewed, coded, matched to purchase orders and routed for approval.

This page is a free, one-off invoice scanning and data extraction demo — it shows the capture step only. Zahara's automated invoice processing software covers the full AP workflow: an invoice inbox that receives supplier emails, automatic supplier matching, PO matching, multi-step approval routing, an audit history for every invoice, integrations with accounting and ERP systems, and export of approved invoice data. The demo is a useful starting point for seeing what scanning produces; the full product handles everything that happens next.

Yes. Extracting the purchase order reference, supplier name and invoice totals is the first step in a PO matching workflow. Once those fields are captured, Zahara can link the supplier invoice to the matching purchase order and compare the invoice amounts against approved spend. The demo shows the extraction step; Zahara's full invoice processing software then uses that data to support 2-way and 3-way matching before payment.

Accuracy depends on the quality and layout of the PDF. Clear, machine-generated digital PDFs typically extract with high accuracy. Photographed invoices, low-resolution scans or invoices with unusual layouts may require more manual review of the extracted fields. Zahara is designed to flag extracted values that need checking — such as total mismatches or missing required fields — so finance has a structured starting point rather than a completed record that bypasses review.

Yes, as long as the file is a PDF and within the 6 MB upload limit. Clear digital PDFs produced by accounting or billing software will usually extract most accurately. Photographed or low-quality scanned PDFs can still be uploaded, but the extracted fields may need more manual correction.

The demo focuses on scanning and extracting the core invoice fields. In the full Zahara workflow, once invoice data has been captured, it can support coding against suppliers, nominal codes, departments, projects and cost centres — so that approved invoices carry the context your finance system needs for posting.

Yes. Capturing invoice numbers, supplier details, invoice dates and totals gives finance more structured information to check before an invoice is entered, approved or paid. In Zahara's full AP workflow, duplicate detection uses the captured reference and supplier data to flag invoices that match existing records.

In the demo, the extracted fields are shown alongside the original invoice for review. In Zahara's full invoice processing workflow, captured data moves into supplier matching, coding, purchase order matching, approval routing and export to your accounting or ERP system. The invoice processing guide covers the full workflow in more detail.