π« The Pain Point
You have 100 product photos with messy backgrounds. Each needs a clean white/transparent background for the website. Photoshopβs magic wand takes 5 minutes per image.
π Agentic Solution
AI-powered background removal that processes entire folders automatically.
Key Features:
- AI Detection: Uses machine learning to detect foreground objects.
- Multiple Outputs: Transparent PNG or white background JPG.
- Batch Processing: Process hundreds of images unattended.
βοΈ Phase 1: Commander (Quick Fix)
For a quick batch.
Prompt:
βI have a folder
productswith product photos. Write a Python script using rembg to:
- Remove Background: Process each image to remove background.
- Output Options:
- Transparent PNG (default)
- White background JPG (if
--whiteflag)- Error Handling: Skip failed images with warning.
- Output: Save to
no_bg/folder.Print progress (e.g., βProcessed 1/100: product001.jpgβ).β
Result: Clean product images ready for any platform.
ποΈ Phase 2: Architect (Permanent Tool)
For E-commerce Teams.
Engineering Prompt:
**Role:** Python Tool Developer
**Task:** Create a "Batch Background Remover".
**Requirements:**
1. **GUI:**
* Select input folder.
* Output format: PNG (transparent) / JPG (white bg).
* Optional: Custom background color picker.
* Progress bar with ETA.
2. **Logic:**
* Use `rembg` library.
* Handle large images (resize if >4000px).
* Try-except for failed removals.
3. **Deliverables:**
* `remove_bg.py`
* `run.bat`, `run.sh`
* `requirements.txt` (rembg, pillow)
π§ Prompt Decoding
- rembg Library: Open-source AI model that runs locally. No API costs, no privacy concerns.
π οΈ Instructions
- Install rembg:
pip install rembg - Copy Prompt β Paste β Run.