Receipt and Invoice OCR API

API ID 13136

Extracts structured JSON data — vendor name, line items, quantities, prices, subtotal, tax, and total — from photos, scans, or PDF files of receipts and invoices.

API Documentation

Endpoints

Request

Extracts structured data such as vendor name, line items, subtotal, tax, and total from a photo, scan, or PDF of a retail receipt.

Endpoint ID: 26650
POST https://docs.zylalabs.com/api/13136/receipt+and+invoice+ocr+api/26650/extract+receipt
INPUT PARAMETERS

Extract Receipt — Endpoint Features

Object Description
Request Body Required File Binary

Free test requests remaining: 3 of 3.


INPUT PARAMETERS

API EXAMPLE RESPONSE
JSON
{"result":{"document_type":"receipt","items":[{"description":"Chocolate (Ice)","quantity":1.0,"unit_price":24000.0,"total_price":24000.0},{"description":"Thai Tea (Ice)","quantity":1.0,"unit_price":24000.0,"total_price":24000.0},{"description":"Cleo Water","quantity":1.0,"unit_price":10000.0,"total_price":10000.0},{"description":"Es Batu","quantity":2.0,"unit_price":2000.0,"total_price":4000.0},{"description":"Nasi Goreng Sun Up","quantity":4.0,"unit_price":30000.0,"total_price":120000.0},{"description":"Chicken Nugget Platter","quantity":1.0,"unit_price":28000.0,"total_price":28000.0}],"subtotal":210000.0,"tax":21000.0,"total":231000.0,"notes":"DINE IN"},"document_info":{"size_mb":0.09,"pages":1,"approx_tokens":300}}
Extract Receipt — CODE SNIPPETS

    curl --location 'https://zylalabs.com/api/13136/receipt+and+invoice+ocr+api/26650/extract+receipt' \
    --header 'Content-Type: application/json' \ 
    --form 'image=@"FILE_PATH"'

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Receipt and Invoice OCR API simply include your bearer token in the Authorization header.

Headers
Header Description
Authorization Required Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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Overview

This API extracts structured data from receipts and invoices. Upload a photo, scan, or PDF file, and receive a JSON response containing the vendor or merchant name, itemized line items with quantity and price, subtotal, tax, discount, total, dates, and payment method when available.

Supported input formats: JPEG, PNG, WEBP, HEIC/HEIF images, and multi-page PDF documents up to 25 pages.

Three endpoints are available: one optimized for retail receipts, one optimized for business invoices, and one that automatically detects which type of document was submitted.

Billing is based on document size — a single-page receipt and a multi-page invoice are billed differently based on the number of pages processed.

Receipt and Invoice OCR API FAQs

Each endpoint returns structured JSON data. The "Extract Receipt" endpoint provides vendor name, itemized line items (including quantity and price), subtotal, tax, total, notes, and document information such as size and page count.

Key fields in the response include "document_type," "items" (with "description," "quantity," "unit_price," and "total_price"), "subtotal," "tax," "total," "notes," and "document_info" (with "size_mb," "pages," and "approx_tokens").

The response data is organized in a JSON format with a "result" object containing the extracted data and a "document_info" object detailing the file's characteristics, such as size and number of pages.

The "Extract Receipt" endpoint provides information such as vendor name, itemized purchases, quantities, prices, subtotal, tax, total amount, notes, and document size and page count.

The endpoints accept image and PDF file uploads in formats like JPEG, PNG, WEBP, HEIC/HEIF, and multi-page PDFs. Users should ensure files are within the size limits for optimal processing.

Users can parse the JSON response to extract relevant fields for applications such as expense tracking, accounting, or inventory management. For example, the "items" array can be used to generate detailed purchase reports.

Data accuracy is maintained through advanced OCR technology that recognizes text and structures it into a usable format. Continuous improvements and updates to the OCR algorithms help enhance recognition capabilities.

Typical use cases include automating expense reporting, managing receipts for tax purposes, tracking business expenses, and integrating with accounting software to streamline financial processes.

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