# Introducing: Standardize with AI

> <p id="">We’ve added a new member to the Parabola AI family!</p><p id="">Introducing: Standardize with AI.</p><p id="">Use the <a id="" href="/transform/standardize-with-ai">Standardize</a> step to clean up messy, error-prone data. This step uses examples that you provide to either rename columns, or standardize a column of values.</p><p id="">For example:</p><ul id=""><li id="">Clean a table where the names of columns are not always consistent, such as packing lists from multiple vendors. Convert columns with names like “Product ID,” “sku,” and “Style” into “SKU”</li><li id="">Take a list of clothing items with inconsistent size names and standardize those names. Convert sizes with names like “Med,” “M,” and “mdium” into “Medium”</li><li id="">Correct words that are misspelled, contain errant spaces, or have undesirable casing.</li></ul><p id="">We hope you leverage this step and our other AI steps (<a id="" href="/transform/categorize-with-ai">categorize</a><strong id="">,</strong> <a id="" href="/transform/extract-with-ai">extract</a>, and <a id="" href="/transform/experiment-with-ai">experiment</a>) to automate even more and build better Flows.</p>

Source: https://parabola.io/updates/introducing-standardize-with-ai

