What to Do When OCR Returns No Text

Test the file and one clear line

Open the uploaded file outside the service and confirm it is not blank, damaged, or an unsupported animation frame. Export a standard JPG, PNG, or WebP copy if the source came from a scanner or specialist application.

Crop one large, upright, high-contrast line and try it separately. If that works, the problem is likely scale, layout, or clutter rather than the script itself.

Remove common obstacles

Rotate text upright, crop borders and photographs, and move closer to tiny print. Improve uneven lighting at capture time. If text is light on dark, keep the original and test a simple inverted copy without destructive filters.

Handwriting, decorative fonts, outlines, perspective, transparency, and text over images can exceed a general OCR model's useful range. Segment the easiest region first instead of repeatedly processing the whole page.

Start diagnosis with measurable source properties in the OCR image readiness checker before repeatedly submitting the same file.

Distinguish input failure from service failure

Try a known clear test image. If both the test and your source fail, wait and check the service again rather than degrading your image with repeated conversions. Keep the original file and note the error message.

For an irreplaceable or high-impact document, use a specialist OCR workflow or manual transcription. Do not interpret an empty result as permission to guess what the image says.