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SP DocUploader+

Your ultimate engine to automate documents OCR and Uploading to SharePoint platform

About SP DocUploader+

SP DocUploader+  for SharePoint provides a backend engine to OCR and upload batches of documents to SharePoint (on-premise or SharePoint Online).  With SP DocUploader+, it will convert your scanned documents to searchable PDFs, recognize barcodes, and uploads the documents automatically.

If you use Multifunction copier to scan your documents, then you can send the scanned PDFs to SP DocUploader+ hotfolders.  SP DocUploader+ will automatically process your documents based on the document type and uploads to the appropriate folder on SharePoint.

Our solution works for both SharePoint on-premise or SharePoint Online.


The Missing link for Sharepoint document libraries

SharePoint online and on-premise provide a search engine that can perform full-text search (search the contents of your PDF), provided that your PDFs are searchable PDFs.  SharePoint Online and on-premise does not provide a converter to convert your scanned documents to searchable PDFs.  

SP DocUploader+ provides this missing feature that you need, allowing your users to conduct full-text searches into the document libraries.




  • Convert your scanned documents to searchable PDFs

  • Optionally OCR first few pages of document only.

  • Recognize barcodes and QR codes

  • Extract info from document for use as document index

  • Uploads resulting searchable PDF to SharePoint

Connect with Other Systems:

  • Provides multiple hotfolders to process different types of PDF documents.  It is compatible for all types of multi-function copiers and brands.

  • Automatically connects with Sharepoint online or Sharepoint on-premise to upload the processed PDFs to different document libraries.


eProjectDM is a


Project Document


Nintex Workflow

Nintex Workflow adds

a Drag-and-drop

workflow designer

IoT (Internet

of Things)


Extend and Customize:

We also provide development services to customize your SharePoint Online search pages to provide a more intelligent search page, allowing users to search by index, combination of criteria, by project, by document type, or by status.

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