Get cleaner text from image OCR
Prepare a readable image for OCR and use a review checklist for numbers, columns, accented text and confidential material.
Check whether OCR is needed
Try selecting a word in the source document. If the text is already selectable, extract or copy the text rather than taking a screenshot and recognizing it again. OCR guesses characters from pixels. Its result needs review, especially for account numbers, measurements, dates and names. Pixel Desk does not currently run an OCR engine; this guide explains preparation and verification for a separate OCR tool.
Prepare the best available source
Use the original scan or image rather than a screenshot of its preview. Rotate sideways pages upright, straighten skewed lines and remove irrelevant borders. Keep letters sharp; aggressive JPEG compression introduces artefacts around small type. Enlarging a blurry image does not recreate missing detail. If you control the capture, improve lighting and focus or scan again. Choose the document language in the OCR application when that option is available.
Review by error type
Compare a short sample line by line with the image before processing a batch. Check 0/O, 1/l/I, minus signs, decimal separators and accented characters. Multi-column documents may have the correct words in the wrong reading order. Tables need row and column checks, not just a spell-check. For important numbers, compare every entry and reconcile totals against the source. Keep uncertain characters visibly marked until verified.
Handle privacy and output deliberately
Use a local OCR application when you cannot send a document to a third party. A page saying “free” does not describe its retention or training policy. Save both the source and reviewed text so corrections remain traceable. OCR text does not preserve the original layout by itself; searchable PDF, plain text and spreadsheet output solve different problems. Select the output based on the next task rather than assuming one conversion delivers all three.