CSV Image File Renamer - copy, review, reverse map
A downloadable tool
Have an exact list of new image filenames? This tool copies your PNG/JPEG files into a fresh folder using a CSV map. Review the dry-run first, then apply that unchanged plan. The original files stay in place.
Python 3.10+ and Pillow required. This is local command-line source. Setup instructions include the Pillow installation command.
Included
- Editable Python script and a three-file original example.
- Example source_name,target_name CSV and expected copied files.
- Dry-run/apply commands and local-use license.
What a run creates
New files with the chosen names, a count/hash manifest, forward and reverse maps, exceptions report and verified delivery ZIP. Image bytes and metadata are copied intact; there is no resizing or image conversion.
Bounds
One flat folder, 1-100 static PNG/JPG/JPEG files; map every image exactly once. Up to 16 MiB per file, 64 million pixels per image and 512 MiB combined. Safe flat ASCII filenames only; preserve exact extension and case. Unsupported files/folders, missing mappings, collisions and unsafe paths block the plan. Output/report folders must be new and separate from sources. A mid-copy failure can leave partial output labelled FAIL; do not use it as a successful delivery.
Generated reports include your local paths and original metadata: inspect them before sharing. No recursive sorting, automatic naming decisions, retouching or conversion. Try the synthetic sample before your own files.
Developed with AI-assisted scripting and reviewed original examples. Source and examples are downloadable; third-party dependencies are not bundled. Local personal/commercial use and modification are allowed; do not redistribute the source or bundle. No warranty.
| Updated | 5 days ago |
| Published | 8 days ago |
| Status | Released |
| Category | Tool |
| Author | LilTib |
| Tags | image, productivity, python |
| AI Disclosure | AI Assisted, Code, Graphics, Text |
Purchase
In order to download this tool you must purchase it at or above the minimum price of $2 USD. You will get access to the following files:

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