Supplier layout A
Invoice information grouped in a traditional header and line-item table.
Invoice Data Extraction
Heyyel Data Extractor is invoice data extraction software that turns PDF, scanned and image invoices into structured data. Extract supplier details, invoice numbers, dates, taxes, totals, line items and your own custom fields without entering them by hand. The complete document extraction workflow covers the process from upload and field configuration to review and export.
The invoice problem
One invoice is easy to handle manually. Dozens or hundreds of invoices from different suppliers, layouts and formats are not.
Invoice data extraction lets you retrieve the values your process actually needs and organize them as structured fields, instead of repeatedly searching and copying information document by document. If you are deciding when that switch is worthwhile, our comparison of manual data entry and automated document extraction looks at the trade-offs in more detail.
Invoice fields
Select Invoice as the document type and use Heyyel Data Extractor's suggested fields as a starting point. Keep them, remove them or add fields specific to your business. For documents that need a completely different schema, Custom Data Extraction lets you define the structure from scratch.
Your structure
A fixed invoice parser may give every company the same schema. Heyyel Data Extractor lets the extraction structure reflect the way your team actually uses invoice data.
Supplier, invoice number, date, tax, total, line items and more.
Project code, contract number, cost center, delivery location or internal reference.
Use text, numbers, dates, arrays and nested information where needed.
Different suppliers, same information
Supplier A may place the invoice number at the top. Supplier B may put it beside the billing address. Supplier C may use a different table structure entirely. Heyyel Data Extractor can extract the same invoice fields across different supplier layouts without requiring a fixed template for every document format.
Invoice information grouped in a traditional header and line-item table.
Different positioning, same invoice fields to retrieve.
Another design without rebuilding your extraction goal around the page.
Structured outputs
Once the requested values are identified, the result can be used outside the original invoice. If your main challenge is selecting only a handful of fields from a PDF, the guide on extracting specific data from PDF documents explains that workflow in more depth.
Use structured JSON when invoice data needs to feed an application, database, API or automated workflow.
{
"supplier": "Northstar Ltd.",
"invoice_number": "INV-10582",
"invoice_date": "2026-08-18",
"tax": 240.00,
"total": 1440.00,
"currency": "EUR"
}
Export selected invoice fields to CSV when the data needs to be reviewed or used in a spreadsheet workflow.
| Invoice | Supplier | Date | Tax | Total |
|---|---|---|---|---|
| INV-10582 | Northstar Ltd. | 18/08/2026 | €240 | €1,440 |
| INV-10583 | Atlas Services | 19/08/2026 | €95 | €570 |
| INV-10584 | Nova Works | 20/08/2026 | €170 | €1,020 |
Invoice OCR
Invoice OCR is useful when invoices arrive as scans or image-based PDFs. But recognizing the text is only part of the job.
With Heyyel Data Extractor, OCR supports the invoice extraction process so the final result is organized around selected invoice fields rather than leaving you with text you still need to search manually. The distinction between the two steps is explained in our guide to OCR vs data extraction.
Invoice data extraction software
Heyyel Data Extractor combines invoice OCR and structured data extraction in one tool. Instead of returning only raw text, the software extracts the invoice fields you select and organizes them into structured JSON or CSV output.
Invoice processing automation
Manual invoice processing often starts with the same task: locate values in the document and enter them somewhere else. Structured invoice extraction reduces that repetitive step.
Find the right page and locate the required values.
Move supplier, date, tax, totals and line items manually.
Perform the same work again for the next invoice.
Start from suggested fields or adapt them to your workflow.
Process the document around the invoice information you selected.
Review and export invoice information as JSON or CSV.
Different teams, different fields
Focus on the financial and supplier information needed for invoice review.
Retrieve purchasing details and repeated line-item information.
Add business-specific information beyond standard invoice fields.
Finance teams rarely work with invoices alone. If the same workflow also handles purchase proofs or account activity, the extraction approach can be extended naturally to receipts and bank statements. If you are still comparing approaches or vendors, the invoice data extraction software comparison looks at different types of tools and the workflows they fit best. For a step-by-step walkthrough of repeated rows, taxes and totals, read how to extract invoice line items, taxes, and totals automatically.
FAQ
Invoice data extraction identifies information such as supplier details, invoice numbers, dates, taxes, totals and line items and converts it into structured data.
You can work with suggested invoice fields such as supplier, invoice number, invoice date, due date, tax, total and line items, then edit the structure or add custom fields for your own workflow.
Yes. Heyyel Data Extractor supports PDF data extraction for invoices as well as PNG, JPG, WebP and TIFF files.
Yes. Scanned and image-based invoices can be processed using document recognition before the selected invoice information is returned as structured fields.
Yes. Selected invoice fields can be returned as structured JSON or exported as CSV for spreadsheet and data workflows.
No. Suggested fields help you start faster, but you can edit, remove or add fields according to the information your workflow needs.
Yes. The extraction target is based on the invoice information you define, so you can work with invoices that do not all share exactly the same visual layout.
Heyyel Data Extractor can perform the core task of an invoice parser by extracting selected invoice information into structured fields, while letting you customize which information should be returned.
Try it on an invoice
Choose the fields that matter to your workflow and turn your next invoice into structured data.