Turn receipts into structured JSON
Expense claims still require manual receipt entry
Employees photograph receipts then spend time manually entering merchant, date, amount, and category into expense tools. Finance teams then review each one, creating a bottleneck that delays reimbursement and reporting.
Receipts come in every format (printed, handwritten, thermal, faded), making reliable OCR with existing tools difficult without custom solutions.
Average 8 minutes per receipt for manual entry and approval
Employees must photograph, upload, AND re-enter data
Faded or crumpled receipts often fail with basic OCR
Month-end reporting delayed by unprocessed receipts
Parse any receipt, any format, instantly
Upload a receipt photo or PDF and get back structured data. No template required for standard receipts, or define your own fields for custom output.
Upload the receipt
JPEG, PNG, or PDF. Works with photos taken on a smartphone.
Parselyze extracts all fields
Merchant, date, items, subtotal, tax, total, and payment method extracted automatically.
Structured JSON returned
Push data directly to your expense management system or database.
Extraction output for a coffee shop receipt
{ "merchant_name": "Starbucks", "merchant_address": "15 Rue de Rivoli, Paris", "date": "2025-11-14", "time": "08:42", "subtotal": 8.05, "tax": 0.70, "total": 8.75, "currency": "EUR", "payment_method": "Visa ****4421", "items": [ { "name": "Caramel Macchiato", "qty": 1, "price": 5.20 }, { "name": "Blueberry Muffin", "qty": 1, "price": 2.85 } ] }
Typical workflows
Expense Management
Let employees photograph receipts and have them auto-parsed into expense claims.
Spend Categorization
Classify merchant categories and tag spend automatically for finance reporting.
Reimbursement Workflows
Feed parsed receipt data directly into your reimbursement or payroll system.
Loyalty & Retail Analytics
Parse customer receipts to track purchase patterns and reward program activity.
Add receipt parsing to any app
Use the Node.js SDK or call the REST API directly. Submit a receipt file and receive structured data in seconds. Works with photos and PDFs.
Ready to integrate?
SDK examples, REST API reference, webhook handler, and cURL samples are all on the developer page.
Fields extracted from receipts
Standard receipt fields returned as structured JSON with every request.
Frequently asked questions
Everything you need to know about receipt parsing.
What is receipt parsing?
Receipt parsing is the automated extraction of structured data from receipt documents, including merchant name, date, total amount, taxes, and individual line items. It eliminates manual data entry and delivers clean JSON ready for expense management systems or accounting software.
What fields can be extracted from a receipt?
Typical receipt fields include merchant name and address, transaction date and time, subtotal, tax amount, total amount, currency, payment method, receipt or transaction number, and line items with individual quantities and prices.
Can Parselyze parse payment failure receipts into JSON?
Yes. Parselyze extracts all printed fields from payment receipts, including payment status fields, failure codes, and transaction references, returning them as structured JSON.
Does receipt parsing work with photos and scanned images?
Yes. Parselyze processes PDF, PNG, JPG, WEBP, TIFF, and BMP inputs. Photo receipts taken on a phone work as well as scanned or digital receipts — including faded or crumpled thermal receipts.
How do I use the receipt parsing API?
Create a receipt parsing template in the Parselyze dashboard, then send the receipt image or PDF to the REST API with your template ID. You receive a structured JSON object with all extracted fields in seconds. You can also use the Node.js SDK for faster integration.
Can receipt parsing integrate with expense management tools?
Yes. The JSON output from Parselyze can be pushed directly to expense tools like Expensify, SAP Concur, or Spendesk via their APIs, or routed through automation platforms like Zapier or Make.
Parse your first receipt today
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