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What is LEADTOOLS Recognition SDK?
The LEADTOOLS Recognition SDK comprises a well-organized array of capabilities that supports the creation of extensive OCR applications specifically designed for large-scale document automation, featuring tools like OCR, MICR, OMR, barcode scanning, forms processing, PDF management, print capture, archival solutions, annotation, and image viewing. This powerful toolkit utilizes LEAD's renowned image processing technology to accurately identify document traits, making it easier to recognize and extract information from diverse scanned or faxed documents. Moreover, the suite includes the LEADTOOLS OCR Engine, which serves as the foundation for the text and forms recognition capabilities offered in this collection. For those seeking further assistance in their application development, delving into the Document Family of additional LEADTOOLS toolkits is highly recommended. Each element of the SDK is purposefully designed to integrate seamlessly, thereby providing a smooth development experience for users. In doing so, it ensures that developers can efficiently build sophisticated solutions tailored to their specific needs.
What is AvePDF?
We provide an extensive array of solutions aimed at the processing, analysis, and transformation of documents, with a strong emphasis on cutting-edge strategies for document imaging and management. Since 2003, we have cultivated a deep expertise in imaging technologies, which has enabled us to create efficient methods for managing electronic documents in both local and online environments. Noteworthy features of our offerings include complete support for PDF files, allowing users to effortlessly view, process, edit, annotate, compress, and sign documents; robust TWAIN and WIA scanning capabilities to streamline the handling of various scanners and acquisition devices; and comprehensive barcode reading and writing for both 1D and 2D formats such as Datamatrix, QR-Code, Micro QR-Code, and PDF417. Moreover, we employ advanced hyper-compression techniques that incorporate mixed raster content compression, color detection, as well as support for JBIG2 and JPEG 2000 formats. Our solutions also facilitate the viewing and conversion of documents across more than 100 different formats, paired with Optical Character Recognition (OCR) technology that efficiently extracts text and MICR characters from scanned images. In addition, we provide automatic recognition for documents and forms/templates, which enhances the efficiency of forms processing, complemented by a plethora of annotation tools designed to enrich documents in both online and offline contexts. This commitment to innovation not only equips our clients with a versatile suite of features for superior document management but also empowers them to achieve greater efficiency and effectiveness in addressing their documentation needs. By staying ahead of technological advancements, we ensure that our clients remain at the forefront of document management solutions.
Integrations Supported
.NET
C
C#
C++
HTML
Java
JavaScript
Objective-C
Swift
Xamarin
Integrations Supported
API Availability
API Availability
Pricing Information
$3,995 one-time payment
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Supported Platforms
Android
iPhone
iPad
Windows
Mac
Linux
Supported Platforms
SaaS
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Not specified
Company Facts
Organization Name
LEADTOOLS
Date Founded
1990
Company Location
United States
Company Website
www.leadtools.com/sdk/products/recognition
Company Facts
Organization Name
PSPDFKit
Date Founded
2011
Company Location
Austria
Company Website
avepdf.com
Categories and Features
OCR
Not specified
Categories and Features
Annotations
Convert to PDF
Digital Signature
Encryption
Merge / Append
PDF Reader
Watermarking
PDF Annotators
Not specified
PDF Compressors
Not specified
PDF Converters
Not specified
PDF Editors
Not specified
PDF Redaction
Not specified