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OMR Sheets Processing Solution

‘Ginger Webs’ offers a trusted OMR solution, OMR is a technology which is used to evaluate OMR sheets by the examination bodies to shortlist the candidates to the next level on the basis of their aptitude. We provide a solution which helps to evaluate OMR sheets within the secured environment provided by the examination conducting body. We have a good quality scanners ranging from 20 - 130 pages / min that supports us to process the bulk volume of OMR sheets and reconciled scores with multiple checks before publishing.

We have processed and evaluated 10 million of OMR sheets during last academic year 2014 - 15 which is an illustration of our quality service. We are open to share our experience and offer consultancy to any educational institution for designing a model to conduct tests.

Centralized OMR processing
Centralized OMR sheet processing is one of the methods which is adopted by many of the Universities which means the processing of bulk OMR sheets in one location within the campus or secured environment of the educational body without any foreign intervention.

  • No Foreign Intervention

  • High
    Security

  • Time Bounded Result Generation

  • Less Manipulations chances

  • Processing in front of the examination campus

Decentralized OMR processing
Decentralized OMR sheets processing is a unique way to process the OMR sheets in multiple locations simultaneously immediately after completion of exam. This is the fastest way to process the OMR sheet which benefits the exam conducting body to publish the result within a couple of hours. We are skilled to conduct these type of test drives across PAN India at the same time. We can send our representative to multiple location with handy scanners to process OMR sheets. The features of decentralized OMR processing are as follows.

  • Fastest & Innovative way of processing

    .

  • Trained & experienced technical executives

  • Result processing in front of authorized executives

  • Instant result generation

  • Merging of data on a cloud from multi locations
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