Community

Hi everyone,

I’m running into consistent issues with OCR accuracy when dealing with documents that include faint text, blurred scans, or low-resolution inputs. While some tweaks to preprocessing have helped a little, recognition often still fails in key zones, especially on older scanned documents or those with light-colored fonts. Has anyone here worked out a more reliable method for improving recognition in these specific scenarios?

I’m particularly curious about improving AI visibility—that is, ensuring the OCR system can consistently detect and interpret difficult or low-contrast content. Are there specific settings or workflows that increase the reliability of recognition in these situations? For instance, do custom layout configurations or adjusting confidence thresholds help reveal otherwise missed text?

While browsing through helpful documentation on support.abbyy.com, I noticed a few articles on layout analysis and fine-tuning recognition zones, which offered useful insights. However, I’d really appreciate hearing how others in this community approach visibility issues in more complex document sets.

Have you tried enhanced preprocessing, dynamic thresholding, or AI model adjustments for this? Any shared scripts, examples, or guidance on detecting and fixing low AI visibility before full batch processing would be incredibly helpful.

Looking forward to learning from your experience and tips!