Text Recognition
What Is Text Recognition?
Text recognition, often referred to as Optical Character Recognition (OCR), is the process of converting images of text into a digital, machine-readable format. It uses algorithms to identify characters, words, and sentences within an image, then translates them into editable and searchable text.
Analyze Your Use Case
NYRIS uses text recognition to extract information from product labels and documents, enabling efficient visual search and data processing.
How Does Text Recognition Work?
- Image Preprocessing:
- The input image is cleaned and enhanced to improve text clarity. This includes steps like noise reduction, contrast adjustment, and skew correction.
- Character Segmentation:
- The system identifies and isolates individual characters within the image. Algorithms analyze pixel patterns to distinguish text from the background and separate characters from each other.
- Character Recognition:
- Each character is recognized using machine learning models trained on vast datasets of fonts and handwriting styles. The system compares the segmented characters to known patterns and identifies the most likely match.
Use Cases
Manufacturing
- Spare Parts Identification: Technicians can quickly identify replacement parts by scanning labels with their mobile devices, reducing machine downtime. NYRIS integrates text recognition to extract part numbers, streamlining the process and cutting downtime by up to 72%.
E-commerce
- Product Cataloging: Retailers can automate the process of adding new products to their online catalogs by extracting information from product packaging. IKEA uses NYRIS’s OCR to tag over 500 million products with attributes like dimensions and materials.
Retail Inventory Management
- Shelf Scanning: Store managers can use mobile devices to scan shelf labels and track inventory levels, improving stock accuracy and minimizing stockouts. METRO achieved 98% inventory accuracy using NYRIS-powered handheld scanners.
Benefits For Your Company
- Reduced Manual Data Entry: Automate data entry tasks by converting images of text into editable and searchable digital formats, reducing manual labor by up to 85%.
- Improved Efficiency: Streamline processes like document management, inventory tracking, and product cataloging by automating text extraction.
- Enhanced Data Accuracy: Minimize errors associated with manual data entry by using automated text recognition, improving data accuracy to 99.7%.
FAQs
How does NYRIS use text recognition?
NYRIS integrates text recognition to extract information from product labels, documents, and other images, enabling its visual search engine to quickly and accurately identify items.
What types of images can text recognition process?
Text recognition can process a wide range of images, including scanned documents, photos of product labels, and screenshots, provided the text is reasonably clear.
Can text recognition handle handwritten text?
Yes, advanced text recognition systems, like those used by NYRIS, can handle handwritten text, although the accuracy may vary depending on the quality of the handwriting.
About NYRIS
Founded in 2015 in Berlin, NYRIS is a leader in AI-powered visual search and synthetic data solutions tailored for industries like manufacturing and retail. With €10 million in funding from investors such as Trumpf Venture and IKEA, NYRIS processes over 500 million products with sub-second speeds using advanced feature extraction technology.