DRM Description
Our advanced Document Recognition & Management software converts raw data to useful information through document recognition and extraction processes. The platform uses optical character recognition to process data from various sources, including photos (e.g. The platform can process data from a variety of sources, including photos, HVAC nameplates, PDFs, and handwritten forms. It instantly retrieves and stores data based on metadata and content tags. This saves time and increases the efficiency of data management.
DRM Alternatives
LogicalDOC empowers organizations all over the globe to take complete control of their document management. This premier document management system (DMS), which focuses on business process automation and quick content retrieval, allows teams to create, collaborate and manage large volumes of documents. It also stores valuable company data in one central repository. The system features include drag-and-drop document uploads, forms management, optical characters recognition (OCR), duplicate detection and barcode recognition, event logs, document archiving and integrated document workflow.
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SDS Manager is a premier provider of SDS Management solutions, featuring one of the world’s largest SDS databases with over 14 million Safety Data Sheets in 25 languages.
With SDS Manager, employees can access essential SDS information directly from their mobile devices by simply scanning QR code posters in work areas where chemicals are used. This seamless mobile access promotes both safety and regulatory compliance.
Our automated data extraction feature lets you effortlessly add SDS files to your library without any manual typing, significantly improving accuracy and streamlining SDS management. Keep your SDS library updated, organized, and ready for quick access in a secure cloud environment.
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ByteScout Text Recognition SDK
Text recognition involves the identification and transformation of images or documents, like PDFs, that feature typed or printed text into a format that can be processed by computers, utilizing the Optical Character Recognition (OCR) method that is enhanced by Machine Learning and Artificial Intelligence. This technology streamlines labor-intensive processes such as extracting data from various documents including driver licenses, passports, invoices, and bank statements. It allows users to define specific rectangular areas within an image that are to be analyzed, with options for rotating and flipping the image as needed. By integrating advanced technologies with accessible tools available on our website, we ensure that our SDKs are tailored to meet your specific requirements. For those interested in a deeper understanding, our comprehensive tutorials, source codes, and documentation are designed to provide clarity and insight into the underlying mechanisms of our solutions. We believe that empowering users with knowledge is as crucial as providing the tools themselves.
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ScanTextAI
ScanTextAI is a web-based tool designed to transform images, photographs, screenshots, and scanned documents into editable text, enabling users to accurately retrieve text from images and save the results in PDF or Word formats. By employing sophisticated Optical Character Recognition (OCR) technology, it quickly processes a variety of image files, such as JPG, PNG, BMP, GIF, TIFF, and WEBP, while supporting a wide range of over 50 languages to guarantee precision and effectiveness. The platform prioritizes user privacy and security, ensuring that any uploaded files are kept on the user's device, with no external access, thereby protecting the user's copyright and ownership rights. ScanTextAI is straightforward and does not require any registration, allowing users to take advantage of its complimentary services for tasks like digitizing handwritten notes, converting printed texts into e-books, and extracting text from screenshots, which makes editing and information retrieval simple and efficient. Additionally, its intuitive interface makes it accessible to users of all skill levels, further enhancing the overall experience.
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Pricing
Free Trial:
Yes
Integrations
Company Details
Company:
ANB Systems, Inc.
Year Founded:
1997
Headquarters:
United States
Website:
www.anbsystems.com/document-recognition-and-management-software/
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Training Videos
Customer Support
Business Hours
Online Support
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