Intelligent OCR technology—a step ahead of traditional OCR
Businesses today are looking for ways to streamline their operations, be it by enhancing production workflows or managing and analyzing business documents. Intelligent OCR technology emerged as a game changer in automating business document management. The technology is streamlining the way the business extracts, manages, and processes the data.
Intelligent OCR software.
Intelligent OCR software is an advanced version of traditional OCR technology. The technology converts different types of documents into editable and searchable data. It incorporates artificial intelligence and machine learning technologies to enhance the accuracy of document conversion.
Features of intelligent OCR software.
Data Validation: The technology assures the accuracy of the data.
Contextual Understanding: Interprets the context of the data to enhance accuracy.
Multi-language Support: Able to recognize and process text in different languages.
System Integration: Seamlessly integrates with other business applications and workflows.
How does intelligent OCR software work?
The intelligent OCR software uses AI and machine learning technologies to digitize documents and extract data from them. It supports different types of documents, from images to other types of documents, and extract data with high accuracy. Understanding the process by which the technology operates helps the business utilize it to its full potential.
Image acquisition :
The intelligent OCR software first captures the digital image of the document through a physical document or a scanned copy. The image is then converted into two colors, black and white, for further processing.
pre-processing :
The OCR software takes the digital image through pre-processing to enable data extraction with high accuracy. The process includes correcting alignment issues, identifying any handwritten text, and removing background graphics or lines.
Text recognition :
The core process of text recognition from the image is initiated at the juncture. Intelligent OCR software recognizes the text by analyzing patterns and using feature extraction algorithms. The iOCR software reads individual characters, words, and text blocks within the image.
Layout analysis :
The software features sophisticated programs to analyze the structure and layout of the document and categorize it into different elements like tables, images, and paragraphs to enhance and improve the accuracy of the text extraction.
Postprocessing :
The recognized text is formatted and produced into digital and searchable formats like Word documents and PDFs for easy comparison and effective document management.
Intelligent capabilities :
The advanced capabilities of intelligent OCR software empowered by artificial intelligence rush beyond basic character recognition in documents. The machine learning and NLP technologies in the OCR software help in understanding the context of text, enabling more document understanding and processing capabilities.
Differences between OCR and iOCR.
Text recognition :
OCR is just capable of recognizing text, from plain documents and converts it to digital text. Still, the intelligent OCR software is capable of recognizing various styles of handwriting and
fonts and extracts data from different types of documents. The technology is capable of distinguishing handwritten characters and separating them into separate boxes to extract them individually.
Accuracy :
Traditional OCR technology is designed to read plain text and fonts and digitalize them. There is room for inaccuracies. Intelligent OCR software understands the context and analyzes human intent, like reading complex handwriting styles to improve accuracy.
Technology :
OCR is a general technology designed to extract text from the images of physical documents. They enable the conversion of scanned or photographed text into digital formats. Intelligent OCR software, on the contrary, leverages ML technology to enhance accuracy and automate the processing of complex documents, which we traditional OCR struggle with.
Flexibility :
Traditional OCR technology has fixed templates to extract the data and tends to face complexity with various document types and layouts. Intelligent OCR technology, on the other hand, can adapt easily to different types of documents and layouts.
Applications of intelligent OCR technology :
Business automation
The intelligent OCR software saves a great deal of time when integrated into business workflows. They can effectively streamline huge document management and witness improved performance in retrieving desired documents from the database.
Accessibility for visually impaired users
Intelligent OCR technology employs adaptive technology to recognize text and convert it into digital formats to help visually impaired users access digital content easily.
Education
The intelligent OCR technology is able to create a great learning environment for the students. The technology converts both physical and handwritten text into digital documents, streamlining the process of studying and taking notes. The advanced technology helps the students access their study materials in different formats.
Conclusion.
With continuous advancements in AI and machine learning technology, the future of intelligent OCR software is great. It plays a key role in automating documentation. By investing in intelligent OCR technology, you can unlock the full potential of data and drive business growth.
