[vc_row pix_particles_check=””][vc_column][vc_column_text]Intelligent document processing platforms such as KlearStack employ the use of state of the art optical character recognition or OCR engines to capture and analyze data. Such technologies convert non-editable files like physical documents, images, or restricted PDFs into scannable and editable digital files in formats like MS Word or MS Excel. These converted documents can then be read by machines and processed using sophisticated algorithms to generate insight and analytics to help boost sales, optimize business operations, and so on.
Investing in the best OCR engines can help enterprises and businesses to streamline and automate all their business practices. Such tools are highly important to accounts payable (AP) teams in generating employee payslips or enterprise resource planning (ERP) in analyzing resource allocation in businesses. Further, the data generated from invoices and bills acts as standing proof in case of any legal disputes.
Further, transforming bulky paper files into digital documents allows businesses to create sustainable and environmentally friendly business practices. Moreover, by moving valuable manpower from manual data entry operations to more critical tasks, companies can reduce costs and increase profit turnover tenfold. [/vc_column_text][vc_column_text]
Best OCR engines 2022
[/vc_column_text][vc_column_text]Here are some of the best OCR engines in the market as of this date that companies can invest in for new age and smart data generation and processing. [/vc_column_text][vc_column_text]
1. KlearStack
[/vc_column_text][vc_column_text]KlearStack is an intelligent document processing platform that can capture and convert data from structured documents or unstructured files such as sales orders, invoices, receipts, bills, and so on into machine-readable and editable digital files. It is powered by leading AI algorithms and can process bulk volumes of input data or files to accelerate enterprise automation for effective digital transformation.
With template-free data extraction techniques such as text recognition, it can process nearly all kinds of documents. Further, this platform can run analyses on data to generate actionable business insights and develop business growth models. With integration capabilities, the information available can be used in software or pre-written codes to improve business operations. [/vc_column_text][vc_column_text]
2. Docparser
[/vc_column_text][vc_column_text]Docparser uses zonal OCR technology to improve text recognition and extract data from images or scanned copies of printed documents. One of the marquees features making this one of the best OCR engines is that it can identify and generate data present in tabular formats. Businesses can use preset or customizable parsing settings to analyze documents at highly affordable rates.
It also offers unique barcode and QR code scanning capabilities allowing the machine to read documents efficiently. The data is then stored using Cloud services, making it accessible to nearly everyone with the appropriate credentials. Further, such a system makes it easy for employees to share data to make internal business operations quick and efficient. With powerful image processing and high levels of accuracy, it is one of the leading automation solutions for institutions and organizations. [/vc_column_text][vc_column_text]
3. Adobe Acrobat Pro
[/vc_column_text][vc_column_text]The Adobe Acrobat Pro DC is widely revered as one of the best OCR engines for large-scale establishments. With advanced end-to-end processing, it allows individuals and businesses to convert scanned files into digital copies that can be accessed and shared easily. It uses smart technologies to process large input volumes from multichannel sources. Compatible with nearly all operating systems and devices, this document processing platform is ideal for digital automation processes.
Moreover, its extensive range of PDF solutions, allows businesses to create or edit converted PDFs that can be transformed into other editable and machine-readable formats. With high-end text recognition, all-encompassing formatting tools, and customizable settings, enterprises can now opt for this OCR software to invoice processing or document automation.
[/vc_column_text][vc_column_text]
4. Readiris
[/vc_column_text][vc_column_text]Readiris a digital processing software that uses OCR to extract data from image files, PDFs, or physical paper copies. Along with data capturing, it allows data processing and management services to streamline business operations and improve workflow. It offers features such as validation of files, and converting, merging, splitting, or compressing generated files into other formats.
This PDF-centric OCR engine is equipped with advanced technologies to allow effective data processing solutions for improved business practices. With reduced processing time, low degrees of error, and multi-device compatibility, this is a one-stop destination for all enterprises looking to optimize their business operations. [/vc_column_text][vc_column_text]
5. Tesseract
[/vc_column_text][vc_column_text]Tesseract boasts one of the best OCR engines in the market. It is a free and open-source application that helps with document processing, image recognition, and data capturing. It is widely used since it can support several languages and even read right-to-left scripts such as Arabic, Hebrew, Persian, and so on.
With a wide array of formatting operations available, enterprises can use this OCR software to format and fit generated information per set templates for optimal processing and analysis. It is a leading platform for generating and retrieving data from unstructured documents like invoices and receipts. The data is processed by data analysts and ERP teams to optimize and improve business-related activities. [/vc_column_text][vc_column_text]
Integration Of Sophisticated Technologies To Create The Best OCR Engine
[/vc_column_text][vc_column_text]With digitization gaining traction in businesses, artificial intelligence and machine learning solutions are being used to create high-end data processing software. Such OCR-driven platforms are vital to helping improve business operations by automating the process of data extraction and analysis.
They allow enterprises to extract, process, and store data generated from documents and invoices into digital files compatible with computer systems. Platforms such as KlearStack help businesses improve their efficiency and optimize resource allocation by eliminating the hassle of manual data entry and boosting automation.
[/vc_column_text][/vc_column][/vc_row]