#dominoforever | Product Ideas Portal

 

Welcome to the #dominoforever Product Ideas Forum! The place where you can submit product ideas and enhancement request. We encourage you to participate by voting on, commenting on, and creating new ideas. All new ideas will be evaluated by HCL Product Management & Engineering teams, and the next steps will be communicated. While not all submitted ideas will be executed upon, community feedback will play a key role in influencing which ideas are and when they will be implemented.

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Ocr out of the box in domino

Domino is about collaboration and documents. A zero paper target include always an OCR part with personalization (set of rules) depending on digitilazed document to adjust which part of the document contains the data to acquire.

Integrate tesseract in Domino.

  • Guest
  • Feb 27 2019
  • Unlikely to implement
  • Attach files
  • Guest commented
    8 Jan 03:46pm

    Good info - thanks for sharing. On ocr tools, you may also look at Grooper for reading PDF documents. I am using it to capture both data from both electronic and scanned files: https://www.bisok.com/grooper-data-capture-method-features/multi-pass-ocr/

  • Guest commented
    23 Oct, 2019 01:25pm

    You can checkout nanonets ocr. 
    You can create your own custom model and train it for higher accuracy.

    https://nanonets.com

  • Guest commented
    13 Mar, 2019 01:24pm

    I ask to cancel my idea.

    Using integration class (NotesJSONNavigator + NotesHTTPRequest) and https://docparser.com/ , and the problem is solved -as soon as the NotesJSON class are corrected from the initial bugs aka éù characters not supported-

  • Guest commented
    3 Mar, 2019 12:01am

    Excel is about to achieve the following. create a table from a picture taken with the phone. a good use of OCR.

    My idea was more advanced, in order to give the ability to acquire data from a picture (say bill for accountant, where a bill from a provider has his own design, several profile, one per bill for example).

    Any step with OCR is welcome.