Different OCR engines (e.g., Azure Computer Vision, OCR.space) may perform better for certain games. You can select the OCR engine per game in scanning settings.

Try Alternate Engines: If recognition is poor for a game, switch to another OCR engine
Game-Specific Tuning: Some engines are optimized for specific card layouts

Image Quality Issues

Poor image quality is a common cause of failed or incorrect recognition. Ensure images meet minimum requirements.

Resolution: Use 150–300 DPI for best results; avoid very low-resolution scans
Lighting: Even lighting reduces glare and shadows that confuse OCR
Focus: Ensure the card text is in focus; blurry images fail more often
Cropping: Crop tightly to the card to avoid background noise

Unsupported or New Games

SortSwift supports 40+ games. If your game is not supported or is newly released, recognition may not work. Check the Supported Games documentation for the latest list.

Recognition Confidence

Low confidence scores indicate uncertain recognition. Review low-confidence results and correct them manually or re-scan with better quality.

Scan Credit Limits

Scans consume credits based on your subscription. If you hit limits, you can purchase top-ups or wait for the monthly reset. See Scan Credits and FAQ for rollover and limits.