Text Image Enhancer Best Practices
Master the art of text image enhancement with these proven best practices and expert tips for optimal results.
Image Quality Guidelines
Input Image Requirements
- • Minimum resolution: 300x300 pixels for best results
- • Supported formats: PNG, JPG, JPEG, WebP
- • Maximum file size: 50MB
- • Avoid heavily compressed images when possible
Optimal Source Images
✅ Good Sources
- • High-resolution screenshots
- • Scanned documents at 300+ DPI
- • Digital photos with clear text
- • Well-lit images with good contrast
❌ Avoid These
- • Extremely blurry or out-of-focus images
- • Images with severe motion blur
- • Very low resolution (under 200px)
- • Heavily distorted or skewed text
Enhancement Techniques
Pre-Processing Tips
- 1. Crop to Text Area: Remove unnecessary background elements to focus processing power on text regions.
- 2. Straighten Skewed Text: Rotate images to align text horizontally for better recognition.
- 3. Adjust Lighting: Ensure adequate contrast between text and background before enhancement.
- 4. Remove Noise: Clean up obvious artifacts or dust spots that might interfere with processing.
Enhancement Settings
For Screenshots
- • Use high sharpening settings
- • Enable edge enhancement
- • Apply moderate noise reduction
- • Preserve original colors
For Scanned Documents
- • Increase contrast enhancement
- • Use aggressive noise reduction
- • Apply deskewing if needed
- • Convert to grayscale for better OCR
OCR Optimization
💡 Pro Tip
Enhanced images typically show 40-60% improvement in OCR accuracy compared to original images.
Font Considerations
📝
Sans-serif Fonts
Best enhancement results
🖋️
Serif Fonts
Good with proper settings
✍️
Handwritten Text
Requires careful tuning
Text Size Guidelines
Minimum Readable Sizes
- • Body text: 12px or larger
- • Headers: 16px or larger
- • Fine print: 8px minimum
- • Captions: 10px or larger
Enhancement Impact
- • Larger text: Better enhancement
- • Small text: May need upscaling first
- • Very small text: Limited improvement
- • Pixelated text: Significant improvement
Common Mistakes to Avoid
⚠️ Avoid These Pitfalls
Processing Errors
- • Over-sharpening leading to artifacts
- • Excessive noise reduction losing detail
- • Wrong color space conversion
- • Ignoring aspect ratio preservation
Input Issues
- • Using heavily compressed JPEGs
- • Processing already enhanced images
- • Ignoring image orientation
- • Not cropping irrelevant areas
Performance Optimization
Speed Optimization
- • Batch Processing: Process multiple images together
- • Optimal Size: Resize to target resolution before enhancement
- • Format Choice: Use PNG for text-heavy images
- • Preprocessing: Clean images before AI processing
Quality vs Speed
- • High Quality: Use for final documents
- • Balanced: Good for most use cases
- • Fast Mode: Quick previews and testing
- • Custom: Fine-tune for specific needs
Validating Results
Quality Checklist
Visual Inspection
- ✓ Text edges are sharp and clean
- ✓ No artificial artifacts or halos
- ✓ Consistent enhancement across image
- ✓ Preserved text readability
OCR Testing
- ✓ Improved character recognition
- ✓ Reduced OCR errors
- ✓ Better word separation
- ✓ Accurate text extraction
Ready to Enhance Your Images?
Apply these best practices to get the most out of your text image enhancement workflow.