How to improve OCR accuracy

Most OCR errors begin in the source image. A few scan-quality improvements can prevent missing text, wrong numbers, and broken table columns.

Use enough resolution

For normal printed documents, about 300 DPI is a useful target. Very low-resolution screenshots can blur similar characters such as 0 and O, 1 and I, or 5 and S. Extremely large images do not automatically improve recognition; clarity and focus matter more than raw pixel count.

Keep pages straight and evenly lit

Deskew rotated pages before OCR. When photographing a document, hold the camera parallel to the page and use diffuse light from both sides. Avoid fingers, folds, glare, and phone shadows over text.

Choose the correct output mode

SourceRecommended mode
Letters, reports, contracts, articlesDocument or Docs text output
Invoices, statements, schedules, price listsSheets or table output
Mixed page with paragraphs and one tableStart with document mode; extract the table separately if structure matters

Improve contrast without destroying characters

Text should stand out clearly from the background. Gentle contrast adjustment can help faded pages, but aggressive thresholding may erase punctuation or thin strokes. Keep an unedited copy and compare the result.

Reduce the page complexity

Crop unrelated borders, scanner controls, neighboring pages, and background objects. If a photo contains several receipts, process each receipt separately. For dense multi-column documents, splitting pages into logical regions may improve reading order.

Handle tables carefully

Table extraction works best when rows align consistently and cells contain legible values. Borders help but are not always required. Watch for merged headers, wrapped descriptions, handwritten annotations, and totals printed outside the main grid.

Review high-risk characters and fields

Use the free check: the PDF scan quality estimator helps you assess resolution, skew, contrast, and noise before OCR.

Related guides

Test your improved scan

Run document or table OCR and compare the result with your original file.