Imperial Linen Services, Inc.


We believe that without quality service, nothing else matters.


Phone: 713.223.1365                 email:











Invoices for June 1-15, 2017 will be available to view by Wednesday June 21st.  



We at Imperial thank you for your business and assure you that we are constantly striving to deliver quality services at the lowest possible cost. 

However, due to the increased costs of fuel, utilities and supplies used in producing our services, we regret that effective October 1, 2016 our invoices will reflect a service charge and/or a charge to meet minimum.  All other prices will remain the same.

Should you have any questions please do not hesitate to contact our offices.

Invoices are uploaded twice monthly and are available to view, as follows:

Invoices 1st thru the 15th of the month - View by the 18th of the month

Invoices 15th thru the end of the month - View by the 3rd of the month

System Requirements

  When you open an invoice, it will open as a PDF document. If you do not have a PDF viewer installed on your computer, please click here to download Adobe Reader or make appropriate arrangements with your IT department.

  Please contact our office if you need assistance.

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When you bring additional fields into a conversion, Quick Base often finds inconsistencies. For example, say you're converting your Companies column into its own table. One company, Acme Corporation, has offices in New York, Dallas and Portland. So, when you add the City column to the conversion, Quick Base finds three different locations for Acme. A single value in the column you're converting can only match one value in any additional field. Quick Base needs you to clean up the extra cities before it can create your new table. To do so, you have one of two choices:

  • If you want to create three separate Acme records (Acme-New York, Acme-Dallas and Acme-Portland) click the Conform link at the top of the column.
  • If the dissimilar entries are mistakes (say Acme only has one office in New York and the other locations are data-entry errors) go back into your table and correct the inconsistencies—in this case, changing all locations to New York. Then try the conversion again.

Read more about converting a column into a table.

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