9 Ways to Improve OCR Accuracy (and Why OCR Gets Things Wrong)

Modern OCR is remarkably accurate on clean, printed text. Most errors come not from the software but from the image: blur, shadows, low resolution or tiny text. The good news is that a few simple habits fix most of them.

Why OCR makes mistakes

An OCR engine first finds where the lines of text are, then reads each line character by character. Anything that hides the shape of the letters, like blur, compression, glare or a busy background, makes both steps harder. Similar-looking characters (0 and O, 1 and l, 5 and S) are the most common mix-ups, which is why numbers deserve a second look.

9 tips for more accurate results

• Use good, even light. Daylight from a window beats a ceiling lamp that casts your shadow over the page.
• Hold the camera parallel to the page. Steep angles squash letters at the far end.
• Fill the frame with the text. Crop or zoom so the words are large; tiny text in a big photo loses detail.
• Focus first. Tap the screen on the text before taking the photo.
• Avoid glare. Turn off the flash on glossy paper and tilt slightly away from bright lights.
• Prefer screenshots to photos of screens. A screenshot is pixel-perfect; a photo of a monitor adds blur and moiré patterns. See screenshot to text.
• Use the original file. Images forwarded through messaging apps are re-compressed each time.
• Pick the right language. Choose Hindi or Marathi for Devanagari documents.
• Faded text: the English engine handles low contrast on its own; for faded Hindi or Marathi, tick Enhanced to boost contrast.

What OCR still finds hard

Messy or joined-up handwriting, decorative fonts, text on curved surfaces (bottles, book spines) and very low-resolution images remain difficult for every OCR engine. Neat handwriting and filled-in forms usually work well. When accuracy matters, for amounts, dates, names or ID numbers, always compare the result with the original.