beginner4 minutes
Common Mistakes to Avoid
Learn what not to do for optimal background removal
What You'll Learn
- ✓Common pitfalls and how to avoid them
- ✓Quality issues and solutions
- ✓Workflow optimization
Prerequisites
- •Basic familiarity with the tool
Understanding Image Quality Requirements
Learn why image quality matters. Low-resolution, blurry, or heavily compressed images will produce poor results.
Proper File Format Selection
Using JPG for images requiring transparency is a common mistake. Always use PNG for transparent backgrounds.
Realistic Expectations
AI is powerful but not magic. Understand what can and cannot be perfectly processed.
Workflow Efficiency
Learn to batch similar images, maintain organized files, and use appropriate settings.
Common Issues
Expecting perfection from poor source images: Start with quality images. No AI can fix fundamentally blurry photos.
Not checking results before downloading: Always preview and zoom in to check edges.
Using wrong file formats: PNG for transparency, JPG for smaller files with solid backgrounds.
💡 Tips & Best Practices
- →Always keep original files as backup
- →Test with one image before processing batches
- →Use highest quality source images available
- →Don't over-process - sometimes simpler is better