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OCR receipt data extraction : How to choose ?
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OCR receipt data extraction : How to choose ?

Today's retail market demands a seamless experience for customers, whether they shop online or in-store. In order to meet consumer needs and provide a seamless shopping experience, retailers must be able to process digital receipts from all channels - desktop, mobile website, mobile app, etc.

Emilie
August 16, 2022

Today's retail market demands a seamless experience for customers, whether they shop online or in-store. In order to meet consumer needs and provide a seamless shopping experience, retailers must be able to process digital receipts from all channels - desktop, mobile website, mobile app, etc. This article will walk you through the challenges of using standard APIs to extract text from images and how you can use AI to create custom software to meet your business needs. Let's get started!

Why is OCR receipt data extraction software important to retailers?

Retailers must bridge the gap between the physical and digital worlds. People shop in-store and online, and expect an easy way to transfer information between these channels. For example, when a customer checks out online, they may be asked to provide a printed receipt from the store. The problem is that printed receipts may not be legible, or may be written in a language you don't understand. This creates a barrier between the customer and the retailer. OCR software is important for retailers because it can solve the language barrier. It can read the printed text and turn it into a digital format that can be easily shared between channels.


The importance of OCR receipt software for cash register tickets.

Receipts are unique because they are printed with special barcode characters that are difficult to read. There are two main problems with this type of receipt: Many retailers scan the items at their point of sale, but get no information from the receipt because it is not recognizable. Sometimes they manually enter the items on the receipt at the point of sale. This process is time consuming and error prone. With the help of OCR software, retailers can easily transform the printed characters into a readable format for their point-of-sale system.


Text detection in images with APIs

Retailers often use image recognition APIs to identify products in images. These APIs are a quick way to identify products and generate product flow data. They use computer vision algorithms to detect certain elements in images, such as product packaging or logos. Image recognition algorithms also allow retailers to detect text in images. Text detection is important for retailers who need to extract data from receipts. However, image recognition is difficult for retailers because the challenges are many.

Image quality is essential for text detection.

Retailers often use image recognition APIs, such as Dataleon, to detect text in images. It is easy to use, scalable and accurate. It can identify text in images even if the quality is poor. However, the image must be of sufficient quality for the algorithm to detect the text.

Limits of the PLC: Accuracy and speed

As the accuracy of text detection increases, the speed of the algorithm decreases. It may take you a long time to detect all the text. The more accurate the algorithm, the more it will cost you. You may have to accept a lower level of accuracy to get a faster result.

A PROPOS DE L'AUTEUR
Emilie

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