What is contentCrawler?
contentCrawler is an innovative automated tool that enables text searchability and improves storage efficiency for all documents within a repository. Operating autonomously without the need for manual intervention, it employs Optical Character Recognition (OCR) to convert image-based files, including scanned PDFs and images, into searchable PDFs, thereby enhancing productivity and ensuring adherence to compliance standards. Additionally, the tool is equipped with a compression feature that reduces file sizes, which results in lower storage and migration costs while preserving the integrity of the documents. It is compatible with multiple image formats like TIFF, BMP, GIF, EPS, JPG, and PNG, effectively transforming them into PDFs that contain an invisible text layer to improve search capabilities. Moreover, contentCrawler provides dual processing modes that allow for simultaneous handling of both new and legacy documents, ensuring comprehensive coverage across the entire document repository. Administrators can easily track the progress of OCR and compression tasks in real-time through the administration console's dashboard, which enhances oversight and efficiency in document management. This all-encompassing strategy not only ensures that organizations can fully leverage their document accessibility but also streamlines their overall management practices, ultimately leading to improved operational effectiveness.
Integrations
No integrations listed.
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Screenshots and Video
Company Facts
Company Name:
Litera
Date Founded:
2001
Company Location:
United States
Company Website:
www.litera.com/products/contentcrawler
Product Details
Deployment
SaaS
Training Options
Documentation Hub
Online Training
Webinars
On-Site Training
Video Library
Support
Standard Support
24 Hour Support
Web-Based Support
Product Details
Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English