High Performance PDF, OCR and SharePoint Software Products

  • Aquaforest Searchlight

    The solution that automatically OCRs PDFs and image files ensuring all your documents are fully searchable in Microsoft SharePoint 2010, 2013 and Office 365.

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  • OCR SDK for .NET

    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.

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  • Aquaforest CheckPoint

    Check your SharePoint - Find duplicate and legacy files, non-standard objects and much more. Support for SharePoint Management - On Premises and in the Cloud

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  • Autobahn DX

    Autobahn DX is a sophisticated High Volume Automated Document Conversion product boasting an impressive set of document processing tools and functionality.

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  • PDF Toolkit

    Manipulate PDF from C#, VB.NET, ASP.NET and Command Line

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  • TIFF Junction

    TIFF Junction is an ‘off the shelf’ OCR product aimed at batch processing high volumes of documents manually.

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  • PDF Junction

    Split, Merge, Secure and Convert Batches of PDF Files with our PDF Splitter.

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  • Tabula DX

    The Search Engine for PDF Files.

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  • TIFF Server

    TIFF Plugin, TIF Viewer and TIFF to PDF Converter - Serve TIFF Images without Plugins or Applets.

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  • TIFF Archive

    Convert TIFF to PDF/A.


We're not the only ones excited about Our Products...

Over 2,000 customers in 50 countries rely on Aquaforest Software. Meet some of our customers.

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What Clients Say

  • 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