Retail receipt
Merchant details, product lines, tax and total.
Receipt Data Extraction
Receipt Data Extraction Software for the Fields You Actually Need
Heyyel Data Extractor is receipt data extraction software that turns receipts from PDFs, scans and images into structured data. Extract merchant details, purchase dates, taxes, totals, payment information, line items and your own custom fields without entering the data manually.
77 languages
Editable receipt fields
JSON & CSV
1 credit per page
receipt_0426.jpg
CITY MARKET
24 Main Street · Purchase receipt
Coffee beans€12.00
Milk€3.20
Pastry€4.80
Tax€2.00
Date22/08/2026
PaymentCard
TOTAL€22.00
Merchant → City Market
Payment → Card
Total → €22.00
The receipt problem
Automate Receipt Data Extraction Without Manual Entry
Receipts are short, but the information inside them often still needs to be found, checked and entered somewhere else. When that process is repeated across dozens or hundreds of documents, the difference between manual data entry and automated document extraction becomes significant.
Receipt data extraction turns the details inside receipts into structured fields so you can work with the values directly instead of reading every receipt one by one.
Identify the merchantName, address and business information.
Capture the purchaseDate, products, quantities and prices.
Collect financial valuesTax, discounts, subtotal and total.
Record payment detailsPayment method and other relevant references.
Receipt fields
Extract Standard Receipt Fields or Add Your Own
Choose Receipt as the document type and start from suggested fields designed for purchase receipts. Edit them freely or add your own.
Receipt preset
Editable extraction structure
merchant_nameText
purchase_dateDate
subtotalNumber
taxNumber
totalNumber
payment_methodText
line_itemsArray
Add custom field+
Flexible extraction
Customize Receipt Data Extraction for Your Workflow
Different workflows need different receipt information. Keep the common fields or add information that matters specifically to your team. For documents that need a completely different structure, Custom Data Extraction lets you define the schema from scratch.
01
Capture common receipt details
Merchant, date, tax, total, payment method and line items.
02
Add your own fields
Expense category, employee name, department, project code or internal reference.
03
Return structured information
Use the selected data as JSON or CSV instead of copying it manually.
Expense category
Project code
Department
Employee reference
Different receipts
Extract Receipt Data Across Different Receipt Layouts
Retail receipts, restaurant receipts and service receipts do not all look the same. The layout can change while the data you need stays consistent. Heyyel Data Extractor can extract the same receipt fields across retail, restaurant and service receipt layouts without requiring one fixed document structure.
Restaurant receipt
Items, taxes, tips, totals and payment details.
Service receipt
Service details, reference numbers, dates and totals.
Structured outputs
Extract Receipt Data to JSON or CSV
Instead of keeping receipt information locked in an image or PDF, turn selected values into structured data you can review, store or use elsewhere. The same approach is useful when you need to extract specific data from PDF documents rather than returning the whole page.
Receipt to JSON
Use structured JSON when receipt information needs to feed an application, database or another digital workflow.
{
"merchant_name": "City Market",
"purchase_date": "2026-08-22",
"tax": 2.00,
"total": 22.00,
"payment_method": "Card",
"currency": "EUR"
}Receipt data to CSV
Export receipt fields to CSV when you need a simple table for review, expense tracking or spreadsheet workflows.
| Merchant | Date | Tax | Total | Payment |
|---|---|---|---|---|
| City Market | 22/08/2026 | €2.00 | €22.00 | Card |
| Corner Café | 23/08/2026 | €1.40 | €15.90 | Cash |
| Nova Store | 24/08/2026 | €4.60 | €52.10 | Card |
Receipt OCR
Receipt OCR for Structured Data Extraction
Receipt OCR helps read text from scanned or photographed receipts. But the useful output is often a specific set of values, not the full receipt text.
Heyyel Data Extractor uses document recognition as part of the extraction process, then organizes the result around the receipt fields you selected. If you want the distinction in more detail, OCR vs Data Extraction explains why recognized text and structured fields are not the same output.
PDF
PNG
JPG
WebP
TIFF
Receipt file
PDF, scan or image
↓
Document recognition
Read the receipt content
↓
Selected receipt fields
Merchant, date, tax, total, line items and more
↓
Structured result
JSON or CSV
Receipt data extraction software
Receipt Data Extraction Software Built Around Your Workflow
Heyyel Data Extractor combines receipt OCR and structured data extraction in one tool. Instead of returning only recognized text, the software extracts the receipt fields you select and organizes them into structured JSON or CSV output.
Receipt processing
Automate Receipt Processing with Structured Data Extraction
When receipts need to be logged, reviewed or categorized, the repetitive part is often finding the same information and entering it again.
Manual receipt processing
1
Open or inspect the receipt
Read the merchant, date, products and totals.
2
Enter values manually
Copy the information into a spreadsheet or another tool.
3
Repeat for the next receipt
Carry out the same work again and again.
With receipt data extraction
1
Choose the receipt fields
Start with suggested fields or adapt them to your workflow.
2
Extract the selected data
Return the values in a consistent structure.
3
Export the result
Use JSON or CSV depending on how the data will be handled.
Receipt use cases
Use Structured Receipt Data Across Different Workflows
Expense tracking
Collect the values needed to organize and review expenses.
- Merchant
- Purchase date
- Total
- Expense category
- Payment method
Purchase analysis
Work with item-level receipt information instead of totals alone.
- Products
- Quantities
- Unit prices
- Discounts
- Line totals
Business reporting
Add internal fields to connect the receipt with your own processes.
- Department
- Project code
- Employee reference
- Internal category
- Custom notes
Receipt workflows often sit beside other finance documents. If your process also covers supplier billing or account activity, you can use the same extraction approach for invoices and bank statements.
FAQ
Receipt data extraction questions
Receipt data extraction identifies information such as merchant details, purchase dates, taxes, totals, payment details and line items and turns that information into structured data.
You can start from suggested fields such as merchant, purchase date, subtotal, tax, total, payment method and line items, then edit the structure or add custom fields.
Yes. Heyyel Data Extractor can process scanned and image-based receipts and return the selected information as structured fields.
Yes. Heyyel Data Extractor supports image data extraction from PNG, JPG, WebP and TIFF files, as well as PDF documents.
Yes. Selected receipt fields can be returned as structured JSON.
Yes. Receipt data can also be exported to CSV for spreadsheet and reporting workflows.
Yes. Suggested fields are editable, and you can add fields specific to your own workflow, such as project code, expense category or department.
Receipt data extraction software identifies information such as merchant names, purchase dates, taxes, totals, payment methods and line items, then converts those values into structured data that can be reviewed, exported or used in another workflow.
A receipt extraction tool reads the receipt, identifies the fields you need and returns those values in a structured format such as JSON or CSV.
Try it on a receipt
Extract the Receipt Data You Need in a Structured Format
Choose the information you need and extract receipt data without entering every value manually.
77 languages
Editable fields
JSON & CSV
1 credit per page