In this issue of CVISION News:
- The Case for PDF Business Compression
- Case Study: Office Automation using Cover Recognition
- PdfCompressor now integrates with Kofax Capture
- PDF Compression & OCR solution for Captiva’s InputAccel
- CVISION introduces Cover Recognition Module for Document Capture
The Case for PDF Business Compression
The world of digital media is constantly changing. Even at the home consumer level, digital media hardware and software applications are dated as soon as they are packaged for sale.
That makes any claim of being "a revolutionary breakthrough" suspect in our world. Yet JBIG2-based PDF document compression is proving to be just that. This powerful technology allows electronic documents to be compressed into file sizes that offer optimal speed in transmission over business networks, via wireless and e-mail, and on the World Wide Web. In fact, JBIG2-PDF compression offers a first: the capacity to generate a scanned document whose file size matches the size of its corresponding text file. In the hands of the right digital media vendor, the high-level compression advantages of JBIG2 are being combined seamlessly into a technology that reduces an image 10x to 100x with no loss of accuracy or quality.
The value proposition for JBIG2-PDF compression, optimization, and search has four main components:
Storage space savings. Compressing bitonal files can restore virtually 90% of your available storage capacity. Color files compress more than bitonal files, so color compression can restore over 98% of your company’s existing storage space.
Efficiently Web-host and email documents. Compression brings a cost savings inherent in using less bandwidth and eliminating overage charges.
Benefit from increased speed of transmission. Time is money for both the sender and receiver of an electronic transmission. JBIG2-compressed PDFs can deliver up to 10x faster transmission speeds than uncompressed PDFs.
Utilize OCR to retrieve files efficiently. Applying OCR to scanned documents makes them fully text-searchable and easy to retrieve. Many scanned corporate and litigation files would benefit from full text indexing and searchability.
Case Study: Office Automation using Cover Recognition
The filing needs of any law firm are formidable. The files generated by the 75 attorneys and 25 paralegals of Gordon, Feinblatt, Rothman, Hoffberger & Hollander, LLC, are simply immense.
Gordon, Feinblatt, Rothman, Hoffberger & Hollander, LLC, enjoys a half-century history as one of Maryland’s premier full-service law offices. The Baltimore firm prides itself in having competent professionals in virtually every area of law while offering personalized attention to its clients. This business model demands the best in record keeping and filing efficiencies, according to Mark Mourges, Director of Finance for the firm.
Mourges explained, "We move massive amounts of administrative paper. Our client opening forms in accounting alone run from 4 to 10 pages for our 100 new clients per week, plus the file itself and retrieval entries. Add that to the continual updates needed in the thousands of files for existing clients-billing, client notes, legal documents, cross-referencing and filing becomes a mammoth task here.
"The learning curve to take our professionals from thinking of files as electronic images rather than pieces of paper was substantial. Yet even with the progress that electronic files brought to our office, filing was the last thing anyone wanted to do. The scanning process just didn’t harmonize with the filing that still needed to be done."
Mourges determined that the firm needed a solution that could utilize the logic of cover pages. The product needed to leverage the scanning capabilities that come with electronic filing to optimize the whole filing process, start to finish. He found his solution online at CVISION’s Web site.
"CVISION’s CovR product was a module that could stand alone. It works as advertised, and quite well. The product is all about efficiency."
CovR (Cover Recognition Module) groups and names output files based on the information printed on scanned cover sheets. Pages coming off a scanning or digital copier device (or those converted to TIFF from electronic formats) are automatically grouped into files based on the delimiting cover page. If desired, the files can also be alphanumerically named based on cover page information.
"There are very few products I swear by," Mourges said. "Those few products allow me to do work better and with less time. CovR fits into this category. It has helped us cut down on filing hassles a thousand fold.
"CVISION has always been responsive to our needs here. They know what they’re talking about. They understood our problem, and implemented the CovR solution quickly."
CVISION’s Ralph Cafiero said, "CovR was created from the expressed need from our clients to simplify electronic file recognition and organization. Whether it’s used as a standalone or integrated into our CVista PdfCompressor, its power to recognize and utilize cover pages accelerates document workflow substantially."
PdfCompressor now integrates with Kofax Capture
In order to meet your business needs, CVISION Technologies has developed a solution to integrate seamlessly with Kofax Capture. The CVISION-developed KCM modules support CVISION’s compression and conversion validation software. PdfCompressor works seamlessly within the Kofax Capture queue with no required integration. In order to meet all your document management needs, the modules allow for 10X black & white compression and 100X color compression. The PdfCompressor KCM Module also supports highly-accurate, multi-directional OCR which is ideal for large scale document imaging conversion projects. CVISION’s Kofax Custom Modules allow for PDF functions including web-optimization, Bates stamping, headers/footers, metadata insertion, print/view/edit security and more. PdfCompressor KCM allows users to handle any Release Script that supports Kofax PDF.
PDF Compression & OCR solution for Captiva InputAccel
Looking for a PDF compression & OCR solution for Captiva InputAccel? Well, look no further. Image2PDF Compressor for Captiva InputAccel is ideal for users looking to instantly share image documents within a company. CVISION’s customized PdfCompressor is 100% integrated with Captiva InputAccel. This module makes the most compact, searchable, web-friendly PDF files available. The product will compress typical black and white image files by a factor of 5X – 10X and color image files by a factor of 10X – 100X. To further enhance your document management system Image2PDF Compressor for InputAccel can make documents searchable utilizing its super-accurate OCR option. Now you can compress, Web-Optimize, OCR, stamp and encrypt all in one step.
CVISION introduces Cover Recognition Module for Document Capture
CVISION Technologies has also introduced CovR, a fully integrated Cover Recognition Module to enhance PDF output file sorting. CovR is the most ideal method for organizing and indexing electronic files. In order to help maximize record keeping and filing efficiencies, the module detects multiple cover sheets in a multi-page TIFF document. Each cover page is automatically detected by CovR and delineates the start of a new document. The filename is taken from the cover page and the file is named accordingly. Cover pages can easily be created before the scanning effort as part of the file organization plan. The CovR module will accelerate and optimize filing efficiencies to meet your firm’s demands. CovR works in conjunction with PdfCompressor or can work as a standalone.