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The official workspace for managing, merging, validating and reorganizing CSV files. Reusable templates are also created here.

Table of contents

  1. Managing Data
    1. Model
    2. Preview
    3. Review
    4. Export
    5. Complete
  2. Templates

Managing Data

The best way to start is by adding CSV files to begin defining your column headers structure. Alternativly, you can manually add columns individually and then proceed in defining their rules and validations.

Simply drag and drop your files into the box provided to see the overview structure of how your data is presented in a model and preview showcase.


A view of your data model after adding files and/or after manually adding columns. You can drag and drop your header columns to reorganize. If your files have real data, you can also drag and drop individual file headers into the correct location if the main model headers do not match automatically. Each model column header is editable to apply rules and validations.


A quick view of how your data will look and display of any rules or validation errors encountered. As the data models are manipulated the preview will automatically live update.


Once your data modeling and preview are in a good state you can finalize the entirety of your data and make any needed updates to the output to correct any invalid records before export. Alternatively, if you would like to export without a review you can just export right away.


Output of the export is in CSV format. If there are any validation errors discovered for any file a seperate error file will export with the problematic rows and not output into the finalized export file.


For embeded solutions, a complete action will appear on review to output the data to your integrated app.


Once your model is defined you may save as a template for reuse in a custom view page for the web or to embed in your app.