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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PrecisionOCR
PrecisionOCR is an easy-to-use, secure and HIPAA-compliant cloud-based optical character recognition (OCR) platform that organizations and providers can user to extract medical meaning from unstructured health care documents.
Our OCR tooling leverages machine learning (ML) and natural language processing (NLP) to power semi-automatic and automated transformations of source material, such as pdfs and images, into structured data records. These records integrate seamlessly with EMR data using the HL7s FHIR standards to make the data searchable and centralized alongside other patient health information.
Our health OCR technology can be accessed directly in a simple web-UI or the tooling can be used via integrations with API and CLI support on our open healthcare platform.
We partner directly with PrecisionOCR customers to build and maintain custom OCR report extractors, which intelligently look for the most critical health data points in your health documents to cut through the noise that comes with pages of health information.
PrecisionOCR is also the only self-service capable health OCR tool, allowing teams to easily test the technology for their task workflows.
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PaperStream
PaperStream Capture Pro is an advanced software solution designed to convert paper documents and imported digital files into organized, searchable digital data that is ready for any document-management system. It efficiently handles batch scanning with any TWAIN-compatible scanner, ranging from simple desktop models to high-capacity enterprise devices, and incorporates sophisticated image-processing features to enhance scanned images automatically by eliminating noise, correcting skew or rotation, adjusting color discrepancies, and improving overall clarity, which significantly boosts OCR accuracy and readability. The software excels in data extraction with capabilities that include full-text OCR, zonal OCR, barcode and patch-code reading, as well as optical-mark-recognition and handprint recognition for handling handwritten text or checkboxes. Furthermore, it can extract multiple fields from each document, such as information from forms, applications, or surveys, and can intelligently separate documents in mixed batches using methods like blank page detection, barcodes, patch codes, or form-template recognition, all while effectively assigning relevant metadata for easier management. This level of automation not only enhances efficiency but also ensures that organizations can streamline their document processes with greater accuracy and speed.
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Free Trial:
Yes
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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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Online Support
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