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Image & Data

Rename Images from CSV

Batch-rename photos from a CSV list — SKU-based catalog names with pixels copied verbatim.

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Useful next stepImage CompressorCompress JPEG, PNG, or WebP images locally with adjustable quality.

Transparent methodology

What the result includes—and what it does not

Updated SolveKit editorial review — image engine QA

Built for sellers and catalog managers renaming supplier photos to SKU-based names.

Calculation method

  1. 1You load photos plus a CSV that pairs current names with new names; matching works with or without file extensions, case-insensitively.
  2. 2The full mapping is previewed before anything downloads: matched, unmatched, and duplicate targets are labeled.
  3. 3Files are copied byte-for-byte under their new names into a ZIP — pixels are never re-encoded.
  4. 4Duplicate target names get a numeric suffix so no file silently overwrites another.

Assumptions and limits

  • The CSV needs at least two columns; the first row may be a header (detected automatically, adjustable).
  • Characters that are invalid in file names are replaced with hyphens.

Worked example

Supplier batch to SKU names

Input: 48 photos + a CSV mapping IMG_2041.jpg → SKU-1043-main.jpg.

Output: A ZIP with 48 renamed, untouched originals, plus a report of any unmatched rows.

Primary sources

How to use it

Three steps. One clear answer.

  1. 1Enter or paste the values requested by the tool.
  2. 2Review the input units and choose any relevant options.
  3. 3Calculate, then copy or download the result you need.

Built for trust

Useful without the friction.

  • No registration or paywall before your result.
  • Responsive controls for phone, tablet, and desktop.
  • Clear assumptions and warnings where estimates have limits.

Frequently asked questions

How does the Rename Images from CSV work?

You load photos plus a CSV that pairs current names with new names; matching works with or without file extensions, case-insensitively. The full mapping is previewed before anything downloads: matched, unmatched, and duplicate targets are labeled. Files are copied byte-for-byte under their new names into a ZIP — pixels are never re-encoded. Duplicate target names get a numeric suffix so no file silently overwrites another.

What should I check before using the result?

The CSV needs at least two columns; the first row may be a header (detected automatically, adjustable). Characters that are invalid in file names are replaced with hyphens.

How current is this page?

The methodology and source notes were reviewed on 2026-07-26. Editable rates and inputs should still be checked against the provider or authority linked below.

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