Receipt Parsing API

Receipt Parsing API: Parse Receipts to JSON Automatically

Upload any receipt photo, PDF, or scan and receive structured JSON with merchant, date, items, totals, taxes, and payment method. No manual entry.

From receipt to JSON in seconds
Works with photos, PDFs, and thermal receipts
No custom rules per merchant or store
Try with sample receipt

Start in minutes

50 pages per month free
No credit card required
REST API, SDK, webhooks

Best fit for

Expense management apps, reimbursement workflows, retail analytics platforms, and finance teams replacing manual receipt entry.

Automate expense entry

Replace manual receipt keying with a single API call and a reusable extraction template.

Any receipt format

Phone photos, scanned PDFs, thermal slips, and digital receipts all processed through the same API.

Push to any system

Structured JSON feeds directly into expense tools, payroll systems, and databases without transformation.

What is receipt parsing?

Receipt parsing is the automated extraction of structured data from receipt documents, including merchant name, date, total amount, taxes, and line items. It eliminates manual data entry and delivers clean JSON ready for expense management systems, accounting software, or reimbursement workflows.

Parselyze provides a receipt parsing API that converts receipt photos, scanned PDFs, and digital receipts into structured JSON in seconds. Unlike basic OCR tools that return raw text, Parselyze maps each field to a named key you define once in your extraction template.

How it works

How to convert receipts to JSON

Upload any receipt photo, PDF, or scan and get back structured JSON automatically. No template required for standard receipts, or define your own fields for custom output.

01

Upload the receipt

JPEG, PNG, or PDF. Works with photos taken on a smartphone.

02

Parselyze extracts all fields

Merchant, date, items, subtotal, tax, total, and payment method extracted automatically.

03

Structured JSON returned

Push data directly to your expense management system or database.

Convert receipts to JSON: extraction output example

Upload a receipt photo, PDF, or scan. This is the structured JSON your application receives back.

Sample receipt from Starbucks
receipt_result.json
{
  "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.

How to integrate

Add receipt parsing to any app

Install the SDK, create a receipt template, and submit your first document. The result is returned as structured JSON you can immediately use in your application.

1
Install: npm install parselyze
2
Create a receipt template in the dashboard
3
Submit receipts and handle results via sync or async API

Ready to integrate?

SDK examples, REST API reference, webhook handler, and cURL samples are all available on the developer page.

Developer integration guide

Fields extracted when you parse a receipt to JSON

Standard receipt fields returned as structured JSON with every request.

Merchant name Merchant address Date Time Subtotal Tax amount Total amount Currency Payment method Receipt number Line items Card last 4 digits

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 to JSON today

50 pages/month free · No credit card required