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Bring Scanned Documents to Life

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Bring Scanned Documents to Life

Bring your scanned documents to life in SharePoint by using existing content, performing full OCR and cleaning up you images from Photos, Scanners and Multifunction devices.

Bring your scanned documents to life in SharePoint by using existing content, performing full OCR and cleaning up you images from Photos, Scanners and Multifunction devices.

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Bring Scanned Documents to Life

  1. 1. Bringing your scanned documents to life
  2. 2. BYOCD ??? „Bring Your Own Capturing Device“
  3. 3. FEATURES
  4. 4. Watch Productivity Take Off • Click-to-Index TM  Save time  Forget manual typing
  5. 5. Smash the Scan & Capture Barrier • SharePoint 2010 & 2013 • Office 365 Integration • Capture from any device:  Attached scanner  File Folder, MFD/MFP  Cloud  Mobile device
  6. 6. Image Optimizations • Automated adaptive Image pre-processing  AutoRotation  AutoColor  AutoContrast  Adaptive Treshold  Auto Despeckle  AutoDeskew  Auto blank page removal  delivering high-quality image at low image size!
  7. 7. Batches of Mixed Document Types • Batch all together • Identify and Index • quickly & easily Invoices Orders Contracts Bills of Lading Medical Claims…
  8. 8. Enhanced Document Recognition • Sort Large Batches:  1D & 2D Barcodes  Separators  Blank Sheets  Indexing Rules  etc.
  9. 9. Multilingual Support Available in 23 languages • Automated setting based on SharePoint language setup
  10. 10. SUMMARY  The ONLY SharePoint App to enable scanning within SharePoint  No client installation required  Pure HTML5 platform  Based on ASP.NET  Revolutionized capturing process within SharePoint  State-of-the-Art Technology
  11. 11. DOCUMENT CAPTURE FOR SHAREPOINT What are the customer’s needs: • Transfer paper to a digital format • Indexing • Metadata • Content Type • Fulltext Indexing • Document Library Export • Document Search
  12. 12. CAPTURING PRODUCTS FOR SHAREPOINT What‘s the standard today? • Desktop (Fat Client) Application • Physically Attached Scanner • Dedicated Scanning Stations • Out-of-SharePoint • User Training is a MUST
  13. 13. What the Users would like to GET: • Modern HTML5 SharePoint Interface • No Client Installation • Handle different sources from One Place • Scanner; MFD / MFP; Mobile Devices; Cloud, etc. • High quality images at low file sizes • Fast SharePoint Metadata Indexing with no typing • Native SharePoint App CAPTURING PRODUCTS FOR SHAREPOINT
  14. 14. CAPTURING PRODUCTS FOR SHAREPOINT What current „SharePoint native“ Apps deliver? • MFP, Mobile dev., Cloud storage ? • HQ Image Pre-processing? • Low Image Size? • Fast No-Typing Indexing? • Easy Implementation? NO!WE DO! AND MUCH MORE!

Editor's Notes

  • Rozvinout „BYOSD“
  • The first image scanner ever developed was built in 1957, at the US National Bureau of Standards, by a team led by Russel Kirsch, and it was a drum scanner.
    The first image ever scanned on this machine was a 5 cm square photograph of Kirsch's then-three-month-old son, Walden. The black and white image had a resolution of 176 pixels.
  • The first image scanner ever developed was built in 1957, at the US National Bureau of Standards, by a team led by Russel Kirsch, and it was a drum scanner.
    The first image ever scanned on this machine was a 5 cm square photograph of Kirsch's then-three-month-old son, Walden. The black and white image had a resolution of 176 pixels.
  • The first image scanner ever developed was built in 1957, at the US National Bureau of Standards, by a team led by Russel Kirsch, and it was a drum scanner.
    The first image ever scanned on this machine was a 5 cm square photograph of Kirsch's then-three-month-old son, Walden. The black and white image had a resolution of 176 pixels.
  • The first image scanner ever developed was built in 1957, at the US National Bureau of Standards, by a team led by Russel Kirsch, and it was a drum scanner.
    The first image ever scanned on this machine was a 5 cm square photograph of Kirsch's then-three-month-old son, Walden. The black and white image had a resolution of 176 pixels.

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