Improving OCR accuracy starts with understanding how text recognition works and how image quality affects the final output. Whether you're scanning documents, capturing text with your phone, or uploading screenshots, the following techniques will help you achieve cleaner, more reliable OCR results.
OCR engines like Tesseract identify shapes (characters) in an image and convert them into digital text.
Accuracy depends on several factors:
Blur, smudges, and digital noise reduce OCR accuracy.
OCR performs best when text is clear, sharp, and highly detailed.
OCR performs best with:
When taking photos of documents:
OCR loves high contrast:
Skewed text is difficult for OCR engines to interpret.
Perspective distortion makes characters appear stretched.
Fix it by: