• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Skip to footer
EdataIndiaLogo

eDataIndia

  • [email protected]
  • Blog
  • FAQs
  • Contact Us
Call: +91-11-41181800
  • Company
    • About Us
    • Why Us
    • Career
    • Testimonials
    • Case studies
    • Hire Dedicated Full Time Employees Team
    • Site Map
    • Contact Us
  • Data Services
    • Data Entry
    • Data Mining
    • Data Capture
    • Data Processing
    • Data Conversion
    • Real Estate Data Entry
    • Form Processing
    • Image Data Entry
    • Copy Paste Services
    • Remote Data Entry
    • Textual Data Entry
    • All Other Services
      • Document Management
      • Spreadsheet Data Entry
      • Data Cleansing
      • Data Verification Services
      • YellowPage Services
  • eCommerce Management
    • eCommerce Data Entry Services
      • Amazon Product Listing
      • eBay Product Listing
      • Magento Product Entry
      • Shopify Product Entry
    • Promotional Product Entry
    • Catalog Processing Services
    • Catalog Content Management
    • Competitor Prices Monitoring
    • Catalog conversion & Indexing
  • Web Solutions
    • Website Development
    • Website Design
    • Graphic Design
      • Logo Design
      • Banner Design
      • Flash Animation Design
    • Mobile App Development
      • Hybrid Mobile App Development
      • Android App Development
      • iOS App Development
      • Windows App Development
  • Image Editing
    • Image Processing
    • OCR Scanning
    • Photo Editing
    • Photo Restoration
    • Image Retouching
    • Image Cutouts
    • Photo Masking
    • Clipping Path Services
  • Marketing
    • Conventional marketing
    • Digital Marketing
      • SEO
      • SMO
      • PPC Services
      • Email Marketing Services
  • Back Office
    • Back Office Support
    • Order Processing Services
    • Live Chat Support
    • Virtual Assistance Services
    • Email Answering Services

5 Best Practices for OCR Based Data Capture

You are here: Home / Data Entry / 5 Best Practices for OCR Based Data Capture

December 20, 2016 by Amit Sharma Leave a Comment

Today data can be stored and transferred in various formats such as word.doc, PDF, codes, mails, text messages, images, web content, videos etc.  Nonetheless, most data is still filed as hand written documents, files, letters etc. Various approaches are available to capture, transform and store the aforementioned data. One of the most common methodologies used in data capture is OCR or Optical Character Recognition where different kinds of text and image data are converted into machine readable formats. OCR are effective when large volume of data has to be managed and transferred, especially in large scale industries such as hospitals, legal firms etc. However, lack of OCR run-through and awareness may lead to errors and inefficient data capture. Hence, here are 5 Best Practices for OCR Based Data Capture.

5 Best Practices for OCR Based Data Capture

Practices for Data Capture Using OCR

  1. Make the Root Strong

You can save time if you thoroughly analyse the materials that has to be transformed such as paper quality, language, font, graphics etc. This helps determine the time, resource and quality of end result. The analysis is most effective especially when capturing historical documents which lack lexical data that is vital in OCR methodology, significantly.Similarly, image based documents require different measures to suit OCR compatibility. All these have to be check listed appropriately.

  1. Determine OCR Goals

Depending upon the project purpose you have to set your OCR data capturing goal. Determination of the approach is very important as few conversions may also require manual correction or processing post OCR capture. Certain factors that need to be flagged off while setting the goals are;

  • Ascertaining the purpose and output required
  • Forming the accuracy level of data capture
  • The elements required in data capture. In such scenarios more formats such as XML and SGML can be used.
  • Understanding client’s quality expectations and overall error tolerance percentage
  1. Create an OCR Process Flow

If you want a smooth OCR data capturing operation, it paramount that you create a process flow of the work. A well-delineated process flow actually helps define the ratio of success or failure of the given project. Your efforts will not be wasted if you are aware as to how the project is going to work out. A process chart will also aid in projecting OCR data capturing project and your overall expectations.

  1. Flexibility in Project Scale and Cost Variations

The expectations and end results differ depending on individual projects. Therefore, it is very important that the data capture team is flexible to adapt to changes and modifications in their project implementation. OCR Data Capturing scales may adversely affect project schedules and overall budget. Similarly additional cost may be charged for untimely expectations from clients. So for all this contingencies it is advisable to have contingency plans and flexible project duration.

  1. Implementation of Quality Assurance

Quality is the foremost aspect one has to include in the OCR data capturing project. Each project should be set under a quality assurance procedure so as to ensure the projects are on right track and shall be completed on stipulated time period. Also, QA procedure is incorporated to evaluate the end results including review, correction and rectification and grading. Each project head should circulate a standard Quality Assurance Rule for better OCR project management.

Category iconData Entry,  Data Entry Services,  Data Operations Tag iconocr scanning

Subscribe to our newsletter

Get the latest posts delivered right to your inbox

Reader Interactions

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Primary Sidebar

LSE

Read Our Blog

  • Data Processing Cycle and Stages of Data Processing
  • What Is Data Conversion? Briefly Discussed With Examples
  • What Is A Data Entry Operator – Is This Job In Demand?
  • Why You Should Outsource Excel Data Entry Services?
  • How to Write an Amazon Product Description?

Join our newsletter

Ready to start your project?

Start by doing what's necessary, then do what's possible.

Contact Us

Footer

Contact Details

Harsha Arcade, Plot no. 11, Entire Second Floor,
DC Chowk, Sector-9, Rohini, Delhi - 110085, India.

Call : +91-11-41181800
Fax : +91-11-27569422

Email us : [email protected]

Our Direction

Our Services

  • Data Entry Service
  • Back Office
  • Accounting
  • Web Design
  • Logo Design
  • Catalog Processing

Other Services

  • Data Mining
  • Product Entry
  • Data Conversion
  • Account Receivable
  • Search Engine Optimization

About Edataindia

  • Career
  • Testimonials
  • Pricing
  • Blog and News
  • Contact Us
  • Privacy Policy
Call: +91-11-41181800
  • Facebook
  • LinkedIn
  • Twitter

Copyright © 2022 eDataIndia. All rights reserved. Return to top