Receipt to JSON API
Convert receipt photos, scans, and PDFs into structured JSON in one API call.
Receipts are easy for people to read, but painful for systems to use
Receipts arrive as mobile photos, thermal paper scans, ecommerce PDFs, and payment slips. Standard OCR can read them, but it still leaves you with raw text that must be cleaned up before it becomes usable.
If your workflow depends on expense automation, reconciliation, or spend analytics, you do not need text. You need structured receipt JSON with stable field names.
Mobile receipt photos are often skewed, faded, or partially cropped
OCR output still needs custom parsing logic before it can be used in apps
Manual receipt entry slows reimbursements and finance operations
Every new receipt format creates more cleanup work for developers
Any receipt format, same JSON output
Parselyze handles retail receipts, card terminal slips, expense receipts, and PDF exports without building one parser per format.
Store receipts
Paper or digital receipts from retail stores, restaurants, and hospitality locations.
Payment terminal slips
Card receipts with authorization codes, masked PAN, status, and transaction references.
Mobile photos
Receipt photos taken on a phone, even when the paper is folded, faded, or skewed.
PDF receipts
PDF exports from expense tools, ecommerce platforms, and email attachments.
What receipt JSON looks like
Instead of raw OCR text, you receive normalized fields ready for your expense, analytics, or reconciliation workflow.
merchant_namemerchant_addresstransaction_datetransaction_timecurrencysubtotaltax_amounttotal_amountpayment_methodreceipt_numberline_items[]{ "merchant_name": "Starbucks", "transaction_date": "2026-03-18", "transaction_time": "08:42", "subtotal": 8.05, "tax_amount": 0.70, "total_amount": 8.75, "currency": "EUR", "payment_method": "Visa ****4421", "receipt_number": "A-10482", "line_items": [ { "name": "Caramel Macchiato", "qty": 1, "price": 5.20 }, { "name": "Blueberry Muffin", "qty": 1, "price": 2.85 } ] }
How to convert receipts to JSON in 3 steps
Create a receipt template
Define the fields you need such as merchant_name, total_amount, tax_amount, payment_method, and line_items.
POST a receipt photo or PDF
Send the file with the Parselyze REST API or use the SDK from your application, workflow, or internal tool.
Receive structured JSON
Use the parsed result immediately in your expense flow, ERP, reporting pipeline, or payment operations tooling.
Common receipt to JSON workflows
Receipt parsing becomes most valuable when it feeds a real downstream system automatically.
Expense automation
Turn employee receipts into structured JSON for reimbursement and accounting workflows.
Receipt to ERP sync
Push parsed totals, taxes, and merchant data directly into your finance or AP stack.
Payment failure monitoring
Extract failed payment receipt data and route retry actions automatically.
Spend analytics
Normalize receipt data at scale for categorization, dashboards, and audit trails.
Frequently asked questions
Everything you need to know about converting receipts to JSON.
What does receipt to JSON mean?
Receipt to JSON means converting an unstructured receipt image or PDF into a machine-readable JSON object with named fields such as merchant, date, total, tax, and line items.
How do I convert receipts to JSON automatically?
Create a receipt template in Parselyze, then send the receipt photo or PDF to the REST API. Parselyze combines OCR and AI field extraction to return a clean JSON payload automatically.
What receipt fields can Parselyze extract?
Typical receipt fields include merchant name, merchant address, transaction date and time, subtotal, tax, total amount, currency, payment method, receipt number, and item-level rows.
Does it work for payment terminal receipts and failed payment slips?
Yes. Parselyze can extract structured data from card terminal slips and payment failure receipts, including status, authorization references, error codes, and amounts.
Which file formats are supported?
Parselyze supports native PDFs, scanned PDFs, and image files including PNG, JPG, JPEG, WEBP, TIFF, and BMP. Smartphone photos work as well as scanner exports.
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