AI Invoice Processing and Invoice Data Extraction

AI invoice processing captures invoices, extracts their data and checks it before it reaches accounts payable or finance. It replaces manual keying of invoice numbers, vendor details, dates, amounts and line items.

Invoice OCR is the first layer: it turns the image of an invoice into text. AI invoice processing goes further by identifying which text is the invoice number, which is the vendor and which lines are goods or services, across different supplier layouts. super.AI combines both in one flow.

#What changes for your AP team

Instead of keying every invoice, your team reviews the values super.AI is not confident about and confirms or corrects them. Values super.AI is confident about go straight to your export. Because corrections carry into the next run, the flow keeps learning from your team's fixes. super.AI's invoice use case is built for accounts payable teams in finance, retail, logistics and manufacturing.

1. Upload a real invoice: a PDF, a scanned image or an email attachment.
2. Describe the data you need in plain language. For example: "Capture the invoice number, vendor name, tax ID, date of issue, payment terms and each line item with its quantity."
3. Review the flow. super.AI builds it and shows each step, so your AP team can see what is read and what is returned.
4. Check exceptions. Low-confidence values, such as a missing invoice number or an unclear date, go to a human review view. Corrections carry into the next run.
5. Export. Send results to CSV, JSON or Google Sheets for approval and payment in the tools you already use.

Free to start, no credit card and no sales call required. Start for free, or book a demo if you want super.AI's experts to help you build it.

• Supplier variety: invoices from many vendors, each with its own layout.
• Mixed inputs: digital PDFs, scans and photos, and invoices that arrive as email attachments.
• Line items, not just headers: descriptions and quantities of goods as well as totals.
• Tax and payment details: tax IDs, payment terms and bank names, captured as separate fields your team can check.
• Exceptions: a clear path for a missing invoice number, incomplete vendor details or a quantity that needs confirmation.
• Security: SOC 2 Type II coverage and contractual commitments are available to super.AI enterprise customers.

When you compare invoice recognition software, test each option on a sample of your own invoices, including the hard ones.

• Document workflow automation: automate the steps around extraction.
• Data extraction software: extract fields from any recurring document.
• Purchase order processing and bill of lading automation.
• Intelligent document processing: the technology behind it.