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What is PrecisionOCR?

PrecisionOCR is a user-friendly, secure, and HIPAA-compliant cloud-based optical character recognition (OCR) solution designed for healthcare organizations and providers to derive meaningful insights from unstructured medical documents. Our OCR technology utilizes machine learning (ML) and natural language processing (NLP) to facilitate both semi-automatic and fully automated conversions of original materials, such as PDFs and images, into well-structured data records. These records are designed to integrate smoothly with electronic medical records (EMR) using HL7's FHIR standards, enhancing the searchability and centralization of patient health information. Users can access our health OCR technology through an intuitive web interface or utilize the tools via integrations with API and CLI support available on our open healthcare platform. We collaborate closely with PrecisionOCR clients to design and maintain personalized OCR report extractors that smartly identify essential health data points within extensive healthcare documents, helping to streamline the information that needs attention amid a sea of data. Additionally, PrecisionOCR stands out as the sole self-service capable health OCR tool, empowering teams to readily experiment with the technology to suit their specific task workflows effectively. By offering such capabilities, we ensure that our clients can maximize the utility of their health data extraction processes.

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.

Media

Media

Integrations Supported

EpicCare EMR
Oracle Health Long-Term Care

Integrations Supported

.NET
C
C#
C++
HTML
Java
JavaScript
Objective-C
Swift
Xamarin

API Availability

Has API

API Availability

Pricing Information

$0.50/Page
Custom pricing available.
Free Trial Offered?

Pricing Information

$3,995 one-time payment

Supported Platforms

SaaS

Supported Platforms

Android
iPhone
iPad
Windows
Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

LifeOmic

Date Founded

2016

Company Location

United States

Company Website

www.lifeomic.com/products/precision-ocr

Company Facts

Organization Name

LEADTOOLS

Date Founded

1990

Company Location

United States

Company Website

www.leadtools.com/sdk/products/recognition

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Text Analytics

Data Extraction

Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction

Machine Learning

Natural Language Processing (NLP)
Templates

OCR

Batch Processing
Convert to PDF
ID Scanning
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Zone Selection Tool

Categories and Features

OCR

Not specified

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