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Q-Eye is a lightweight QlikView data file editor

This easy to use tool allows the user to view and edit QVD and QVX files.

 mt_ignore:QVD Files Editor

History of Q-Eye

When we work with new customers quite often we can see a lot of QVD files. Some of them are very old and no one is able to tell what is inside and why they were created. Traditional way was creating script and loading it in to QlikView. Which is a lot of work if there are a lot QVD files, We just wanted to able to see the content of QVD file.

So we created Q-Eye

Later we released that it will be really great to be able to edit QVD/QVX files.

And this functionality was introduced in Q-Eye version 3:

Edit both QVD and QVX Files, Save as QVD, QVX, XML, Excel and SQL Insert Scripts, Add/Move/Delete/Rename Fields, Add/Delete Rows, Copy, Cut and Paste, Field Statistics, Rename Table, QlikView Load Script Generation, Rename Table, Multi Document , Interface, Operation system integration

Partial Load
Highly optimized code (Only 3.3 mb)
64 bit and 32 bit versions
Memory compression
Works with very large QVD files

There are two versions available.

Standard and Portable

  • Standard version can be installed on Windows PC.
  • Portable version is designed to work with PortableApps Menu which can be downloaded from here

Portable software is a class of software that is suitable for use on portable drives such as a USB (thumb) drive or iPod or Palm PDA with "drive mode", although any external hard drive could theoretically be used. The concept of carrying one's favored applications, utilities, and files on a portable drive for use on any computer is one which has evolved considerably in recent years.

Please support development of Q-Eye by donating


Advanced ETL Processor

Try It

Transform and generate QVD files from any data source.

  • Supports both QVD and QVX files


Advanced ETL Processor's ability to validate and tranform data without actually loading it into the datawarehouse has saved us a lot of time. We were able to see how data will look like, once it is transformed and which records would fail during data validation.

Antony Clark,

Our customers






Australian Rugby Union
Databases we work with