What SortSwift Extracts

• Key Identifiers: Card names, set abbreviations, collector numbers, and other visible text elements.
• Contextual Cues: Layout positioning (title bar vs. rules text) helps narrow which field the text most likely represents.
• Multiple Attempts: OCR runs several passes to capture partial words, alternate language spellings, or stylized fonts.

Confidence Scores

Each suggested match includes a confidence percentage so you know where to focus review time:

• 90% and above: Typically safe to approve in bulk.
• 70% – 89%: Review manually—these often need a quick confirmation or card variant tweak.
• Below 70%: Investigate closely. Swap in clearer images or adjust lighting and rescan if needed.

Improve Recognition Quality

• Use consistent, glare-free lighting and keep the camera parallel to the card surface.
• Crop out excessive background so the card occupies most of the frame.
• Separate foil cards or cards with reflective sleeves—they benefit from dedicated lighting or scanner presets.
• Group cards by language to make spot-checking easier when OCR returns language-specific variants.