Autobahn DX is a sophisticated High Volume Automated Document Conversion product boasting an impressive set of document processing tools and functionality.
The solution that automatically OCRs PDFs and image files ensuring all your documents are fully searchable in Microsoft SharePoint 2010, 2013 and Office 365.
The Aquaforest OCR SDK for .NET is aimed at developers who wish to embed the Aquaforest OCR engine and build High Performance 32-bit or 64-bit OCR applications in C#, VB.NET and ASP.NET.
Aquaforest Kingfisher helps unlock and organize key business information trapped in PDF documents such as financial records, customer reports, scanned files and payment runs.
Check your SharePoint - Find duplicate and legacy files, non-standard objects and much more. Support for SharePoint Management - On Premises and in the Cloud
Manipulate PDF from C#, VB.NET, ASP.NET and Command Line
TIFF Junction is an ‘off the shelf’ OCR product aimed at batch processing high volumes of documents manually.
Split, Merge, Secure and Convert Batches of PDF Files with our PDF Splitter.
TIFF Plugin, TIF Viewer and TIFF to PDF Converter - Serve TIFF Images without Plugins or Applets.
The Search Engine for PDF Files.
Convert TIFF to PDF/A.
PARTNER OPPORTUNITY Solve a Key Business Problem for Your Customer Increase Your Revenue Stream + Many more benefits... read more
PDF is one of the most common file types held within a SharePoint document store and yet depending upon the version of SharePoint the “out of the box behaviour”... read more
I believe the Searchlight product is unique and definitely a "leader" in this kind of document management workflow. The product is easy to configure and does exactly what it states it does: Automatically OCR SharePoint document libraries or Local Locations. Highly efficient, fully auditable, complete with check out & check in comments.
Jeroen SchoenmakersSharePoint Specialist - Ivanplats SA (Pty) Ltd
Thanks to TIFF Junction, I was able to convert over 900 files in less than 30 minutes total and I had anticipated this task would take 60 hours doing so manually. Very nicely done!
Stephen AlbersDirector Sustaining Engineering - MAG-IAS