How to Convert Milliliters to Liters in a Table
Convert milliliters to liters so catalogs and marketplaces receive volume data in the required unit.
Convert milliliters to liters so catalogs and marketplaces receive volume data in the required unit.
Turn stock quantity into availability status so zero and positive values become clear import states.
A guarded rule chain converts supported stock formats to numbers and leaves unknown text blank.
Extract product color from the name and normalize it for variants, filters, and product cards.
Extract product size from the name and turn it into a separate field for variants and filters.
Split a value like 120 x 60 x 75 cm into three separate columns.
Build a product name from supplier columns so the final file has one clean name even when optional fields are empty.
Build channel-specific availability values for Google and Meta while leaving unknown supplier codes blank.
A supplier price list has several image links in one cell. For Shopify import, each image URL must become a separate row while keeping the same Handle. In the Image Src column settings, enable Change row structure, ch...
Six ordered rules validate a source price, add 20%, round to an integer, and leave invalid values blank.
Calculate each line total from quantity and price so the exported table contains a ready line_total value.
A table has weight in grams, sometimes with a suffix such as g. The final field must contain weight in kilograms. In weight_kg, keep the numeric part with a regex rule and then divide the value by 1000.
The source table has a date written as 24.06.2026, while the receiver needs YYYY-MM-DD. In the date column, add a Convert date transformation and choose DD.MM.YYYY → YYYY-MM-DD.
A feed stores status or category as short codes, for example A and N. The final file needs readable values. For a small dictionary, add several replacement rules in one column: A → active, N → inactive.
A JSON flag arrives as a string: yes, ye, y, no, n, 1, or 0. The final JSON needs true and false values. For a small set of values, add sequential replacements: replace y, yes, ye, and 1 with true; replace n, no, and...
Omit an empty optional key from the resulting JSON while keeping its parent object.
Remove HTML markup from product descriptions so the final file keeps clean text without tags.
Move XML product attributes into CSV or XLSX columns so id, code, and similar values become table fields.
Split a list from one cell into separate rows when values are separated by commas or semicolons.
Collect values from repeated rows into one cell using SKU or another grouping key.
Turn a product name into a URL slug with transliteration, hyphens, and cleanup of extra characters.
Remove rows with an empty required field, such as missing SKU, so import does not create broken products.
Filter products by a small SKU or brand blacklist so blocked items do not reach the import.
Exclude rows by brand, category, or status when part of a supplier file must not enter the import.
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