Python utilities for organizing, renaming, and processing photo files. Each script targets a specific workflow for cataloging, renaming, and converting images.

• Count Python files in a directory
• Analyze and classify filenames by pattern
• Simulate and perform batch renaming of generic filenames
• Convert RAW files to DNG format
• Ingest and organize RAW files by date or project
• Survey and list files in a folder
• Robust collision handling and dry-run support

Count the number of .py files in a given directory. Usage:

python count_files.py

Classify filenames in a folder as generic (Doxie, IMAG, IMG) or original. Prints a summary. Usage:

python analyze_filenames.py

Simulate renaming generic files (Doxie, IMAG) to a sequential format. No changes are made. Usage:

python dryrename.py

Batch rename generic files to a sequential SCAN_#### format, skipping existing files. Usage:

python genrename.py
python genrename2.py

Move .CR2 files from a source folder to a dated/project subfolder in the destination. Usage:

python ingest_raw.py

Rename or simulate renaming image files in a directory tree, applying patterns and collision resolution. Usage:

python rename.py
python dryrun.py

Rename files in a folder to a sequential IMG_####.CR2 format. Usage:

python rename_originals.py

Print a numbered list of all files in a folder. Usage:

python survey_filenames.py

1. Clone the repository:

   git clone https://github.com/Phaedrus157/jaaPhotoOrganization

2. Open in VS Code. Recommended: use the provided .vscode settings for linting and tasks.
3. Edit script paths as needed for your environment.
4. Run scripts from the command line or VS Code tasks.

• Scripts use hardcoded Windows paths; update these for your system.
• All scripts include docstrings and type hints for maintainability.
• For large batch operations, use dry-run scripts first to preview changes.

MIT License. See LICENSE for details.