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What is Maestro Server OCR?

Achieving remarkable accuracy in OCR and PDF conversion can significantly streamline business processes associated with scanning, archiving, and digitization. By transforming paper and image documents from diverse sources, including scanners, faxes, or multifunction printers, into searchable PDF files, you can improve usability throughout your operations and workflows. With Maestro's exceptional OCR accuracy, you can reduce errors and effortlessly create valuable data for robotic process automation, document indexing, and big data analytics projects. Harnessing Optical Character Recognition software allows you to eliminate the costly and labor-intensive task of manual information retrieval, facilitating instant keyword searches. In industries that are heavily regulated, like life sciences, the submission of fully text-searchable PDFs is often mandatory, particularly for processes such as NDA applications submitted to the FDA. By converting TIFFs, JPGs, BMPs, and physical documents into digitally optimized, ISO-certified PDF/A formats, you can ensure adherence to records retention policies while making information management more effective and streamlined. This improvement not only simplifies the handling of data but also boosts accessibility across a variety of platforms and teams, fostering collaboration and efficiency. Ultimately, these advancements contribute to a more organized and agile operational framework that can adapt to the evolving business landscape.

What is Discovery Assistant?

Discovery Assistant is specifically designed for litigation support professionals, allowing them to effectively capture, search, and manage electronic documents on Windows platforms. Its advanced capabilities enable users to quickly navigate through millions of native files, scanned documents, emails, and attachments, facilitating the easy identification of relevant information. The application provides the option to export processed documents in their original formats or as TIFF or PDF images, complete with hidden metadata and text, ensuring compatibility with leading case management review systems. It efficiently converts large volumes of emails, electronic files, and scanned images into TIFF or PDF formats, while also extracting essential metadata and text simultaneously. The software diligently tracks every document, maintaining parent-child relationships, which ensures a thorough audit trail and includes comprehensive reporting tools. With its user-friendly tabbed interface, users can effortlessly explore detailed information. Designed for immediate deployment, it features a simple installation process, making it both accessible and effective for legal practitioners. Furthermore, the software's adaptability makes it suitable for a broad spectrum of documentation requirements across different legal environments, enhancing its practicality for legal teams.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Windows

Supported Platforms

Windows

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Foxit Software

Date Founded

2001

Company Location

United States

Company Website

www.foxit.com/enterprise-automation/maestro-server-ocr/

Company Facts

Organization Name

ImageMAKER Development

Date Founded

1990

Company Location

Canada

Company Website

www.discoveryassistant.com

Categories and Features

Document Scanner

Not specified

OCR

Batch Processing
Convert to PDF
Image Pre-processing
Metadata Extraction
Multi-Language
Multiple Output Formats

Categories and Features

eDiscovery

Compliance Management
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering

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