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How to find rows with long descriptions

Find descriptions that exceed your expected character limit, calculate their lengths, and trace each result to the right CSV row without changing the original.

Lauren HughesTools and utilities Tools 5 min read

A few descriptions in a CSV file may be much longer than the rest, or exceed a limit for a website, product feed, or database. Scanning rows by eye is slow, especially when the file has thousands of records.

You can calculate each description’s character count, sort the results, and use a record ID to find the right row. The CSV Editor helps you inspect and search the file in your browser. It can open CSV files with up to 10 million rows, but it does not automatically calculate text length, so use a spreadsheet formula for that step.

Find the long descriptions

  1. Open the file in the CSV Editor. Check that the columns appear separately and identify the description column and a unique row ID, such as a product number. Do not edit the original file yet.
  2. Open a copy of the CSV in a spreadsheet program that supports its number of rows. In the example below, descriptions are in column C, the first record is on row 2, and column D is empty. If your description column is different, change the formula’s cell reference.
  3. Enter =LEN(C2) in cell D2. This counts the characters in the description, including spaces and punctuation. Fill the formula down alongside the rest of the records.
  4. Compare the counts with your actual limit. For example, to flag descriptions over 160 characters, enter =LEN(C2)>160 in a separate helper column. Filter for TRUE, or sort the length column from largest to smallest.
  5. Use the row ID to locate each flagged record in the CSV Editor. Search for the ID or a distinctive phrase, then review the full description before deciding whether to shorten it.

Sort the full set of rows, not just the count column, so the descriptions remain matched with their IDs. If your spreadsheet cannot handle the file’s row count, do not assume the visible portion is the whole file. Work with smaller copies or use a process that supports the full number of records.

What the results mean

A count is greater than the limit

The description exceeds the limit you chose. Check the requirement for the destination first: 160 characters may be a useful example, but it is not a universal rule. Some systems count spaces, line breaks, or punctuation toward their limits.

The longest values are only slightly above the limit

This often points to a few extra words, a long brand or model name, or spaces at the start or end of a field. Review the original text before changing it. A character count identifies a value to check, but does not tell you which wording is important.

Many counts are unexpectedly high or identical

Check that the formula refers to the description column and the current row. If every result shows the same count, the formula may be pointing to one fixed cell instead of moving down the rows. Also confirm that the CSV was imported into separate columns, rather than placed in one column as a block of text.

The row number does not match

Spreadsheet row numbers can shift when a header is included, rows are filtered, or records are sorted. Find the record by its unique ID instead. If there is no ID, use a distinctive phrase from the description and verify nearby fields before editing.

How to fix a misleading count

  1. Confirm the character limit. Check the rules for the website, feed, or system receiving the file. Decide whether the limit includes spaces and whether it applies to the full description or a shorter display field.
  2. Check the formula reference. Make sure the formula uses the description cell from the same row. For example, if the description is in column F and the first record is on row 2, use =LEN(F2).
  3. Check how the CSV was imported. If commas inside descriptions caused extra columns, import the file using the correct delimiter and quote handling. A comma inside a properly quoted field belongs to the description, not to a new column.
  4. Look for line breaks inside a description. A quoted CSV field can contain a line break and still be part of one record. Do not count physical lines in a text editor as if each line were a separate row. Verify the record ID and the full field in the CSV Editor.
  5. Decide whether spaces should count. LEN includes leading and trailing spaces. You can compare it with =LEN(TRIM(C2)) to see whether extra spaces affect the count. Treat this as a check, not an automatic cleanup: changing spaces can alter formatting or meaning.
  6. Edit a copy and verify it again. Keep the original CSV unchanged. Shorten only the flagged descriptions that truly need it, then recalculate their lengths and confirm the row IDs still match the correct records.

Why character counts can differ from what you see

A character count is not always the same as a count of visible symbols. Spaces, punctuation, and line breaks take up characters even when they are easy to overlook. Some emoji and accented symbols can also be represented internally by more than one code unit, so spreadsheet programs may count them differently. If a value is close to a strict system limit, test it in the destination system or leave a small margin.

The CSV Editor processes the file in your browser, and files stay on your device. Keep a separate backup before making changes to important data.

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