StriveFormats
CSV Fixer
MetaImages

More than 50 additional images

additional_image_link holds more than 50 URLs.

What is this issue?

additional_image_link holds more than 50 URLs.

Affected field:additional_image_link

What it looks like in your file

In your file
idadditional_image_link
2MUG-01https://example.com/1.jpg,… (64 URLs)
After the fix
idadditional_image_link
2MUG-01https://example.com/1.jpg,… (50 URLs)

Upload your CSV to check for this issue and export a clean file.

Fix now

Why Meta rejects this

Meta uses up to 50 additional images and ignores the rest.

Meta-specific note

Meta uses up to 50 additional_image_link values for each product and ignores the rest. Put the most useful views first.

Valid values / expected format

  1. ✓Up to 50 URLs, separated by commas, semicolons, spaces or vertical bars
  2. ✓Each one a full URL starting with https://

Fix in StriveFormats

Upload your CSV to StriveFormats to detect this issue across all rows, with clear line-by-line reporting.

Open CSV FixerView templateMeta Fixer guide

Fix in Excel

  1. 1Review the additional_image_link column for incorrect values.
  2. 2Fix any cells that do not match the expected format.
  3. 3Save as CSV UTF-8 (Comma delimited).

Fix in Google Sheets

  1. 1Review the additional_image_link column for incorrect values.
  2. 2Correct any cells that do not match the expected format.
  3. 3Go to File > Download > Comma Separated Values (.csv).

Prevent it next time

  1. ✓Start from the official platform template to avoid structural issues.
  2. ✓Run your file through StriveFormats before every import.
  3. ✓Test with a small sample file first to catch errors before they affect your full catalog.

How StriveFormats detects this

StriveFormats parses every row of your CSV and applies Meta-specific validation rules to the additional_image_link field. Any row that violates the rule is flagged with the row number and the specific value that caused the issue.

►Technical detail
Meta's importer checks the additional_image_link field against its official import specification. Values in the wrong format are flagged because an invalid value that slips through can show up in your store as a blank field, a zero or wrong text, with no error message.