Photo Face Organizer 📸🤖
An open-source desktop application that automatically detects, recognizes, and organizes photos into person and group folders.
Features
- Automatic Face Detection & Recognition: Scans photos to detect human faces and match them against created profiles.
- Individual & Compulsory Group Profiles: Group folders require all compulsory members to be detected together in a single photo.
- File Audit Reconciliation: Verifies that 100% of discovered photos are accounted for with zero data loss.
- Unknown Faces Clustering: Groups unrecognized faces so you can create new profiles with one click.
- Cross-Platform: Supports Linux, Windows, and macOS.
Quick Installation & Launch
Option 1: Install via Pip directly from GitHub
pip install git+https://github.com/technoharsh21/photo-face-organizer.git
photo-face-organizer
Option 2: Run from Source
git clone https://github.com/technoharsh21/photo-face-organizer.git
cd photo-face-organizer
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt || pip install PySide6 face_recognition Pillow
python app.py
License
MIT License
Metadata
Release files for photo-face-organizer 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| photo_face_organizer-1.0.0.tar.gz | 47.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| photo_face_organizer-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 104.5 kB
Release files / photo_face_organizer-1.0.0.tar.gz
| Download URL | photo_face_organizer-1.0.0.tar.gz |
|---|---|
| Size | 47.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.3
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Release files / photo_face_organizer-1.0.0-py3-none-any.whl
| Download URL | photo_face_organizer-1.0.0-py3-none-any.whl |
|---|---|
| Size | 57.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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b1bc865baaf71d860687fbccce800244fd44134b8bb58d89d576ea7ef4b14bdf
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.3
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