Receipt OCR for Data Extraction

Nanonets Receipt OCR accurately processes receipts for your business workflows at scale. Extract meaningful data in real-time from line items in scanned receipts, invoices, purchase orders, expense receipts, work orders, bills, checks and more.

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Receipt OCR Demo

Upload your own receipts in .jpg, .png or .pdf formats and extract data.

What is Receipt OCR?

OCR, or Optical Character Recognition, converts text in scanned images and documents into machine-readable data using AI & Machine Learning algorithms. Receipt OCR applies this technology to digitize receipts and extract meaningful data such as sale price, total price, tax rate, tax amount, merchant name, date, discount and more from scanned receipts.

Nanonets Receipt Scanner OCR automates accounting by eliminating the need to collect, verify and manually key in data from receipts for financial, accounting or taxation purposes. Digitizing receipts using Receipt OCR API helps businesses save costs, resources and time apart from being an efficient way to store, archive and analyze important data.

Extracting data from document fields

What Receipt Fields Can be Extracted?

Here are the fields that Nanonets can identify and extract by default. Nanonets can also be trained to identify and extract any other field or line item in receipts. Nanonets Receipt OCR, powered by AI & ML, can be trained on custom data to meet your organization's specific requirements.

Card Tender
Cash Tender
Date
Merchant Address
Merchant Name
Merchant Phone
Receipt Number
Subtax
Tax Amount
Total Amount

The Best Receipt OCR for your Business

Why Use Nanonets Receipt OCR?

Our fully automated approach processes scanned receipts safely & quickly while avoiding traditional limitations like templates or humans-in-the-loop! Save 90% of time spent for verification while reducing processing costs to less than 10% of previous figures.

Requires no developers

No need to worry about hiring developers to personalize our API. Nanonets was built for hassle-free integration. You can also easily integrate Nanonets with most ERP, RPA or CRM software.

Easy to use & flexible

Adapting Nanonets for your specific business needs is easy and straightforward. From creating custom OCR models & retraining them to adding new fields & handling integrations, Nanonets can handle it all.

Learns continuously

Businesses often face dynamically changing requirements and needs. To overcome potential roadblocks, Nanonets Receipt OCR API allows you to easily re-train your models with new data.

Works with multiple languages

Since Nanonets focuses on training with custom data, it is uniquely placed to build a single model that could extract text from documents in any language or multiple languages at the same time.

Handles common data constraints

Nanonets AI can recognize and handle handwritten text, images with low resolution, images with new or cursive fonts and varying sizes, images with shadowy text, tilted text, random unstructured text, image noise, blurred images and more.

Customise, customise, customise

Capture as many fields of text/data that you like and present it in any desired fashion. Nanonets is not bound by the template of your document!

Requires almost no post-processing

Nanonets extracts only the relevant data and automatically sorts them into intelligently structured fields; doing away with a lot of time spent in revision and verification.

Trains & works with custom data

Nanonets uses your own data to train models that are best suited to meet the particular needs of your business.

The Most Robust Receipt OCR API

How to Digitize Receipts with
Nanonets Receipt OCR

Nanonets offers 2 different Receipt OCR solutions:

Pre-trained Nanonets
Receipt OCR model

Add File

Test & Verify data

Export

Build A Custom
Receipt OCR model

Upload training images/files

Annotate text on the images/files

Train the custom Receipt OCR model

Test & verify data

Receipt OCR API Documentation

You can visit nanonets.com/documentation to see code examples for making API requests to Nanonets

Check out documentation

Extract Data in Less Than a Minute

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