Sejda PDF

OCR PDF

Make scanned pages searchable and selectable.

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Supported: PDF, JPG, PNG

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About OCR PDF

Optical character recognition reads the text in your scans and adds an invisible text layer underneath the image, so you can search, copy and index the document while it still looks like the original.

  • Dozens of languages
  • Keeps the original page appearance
  • Enables copy, search and indexing

How to ocr pdf

  1. 1

    Upload the scan

    Photos of documents work too.

  2. 2

    Pick the language

    Recognition accuracy improves a lot with the right language.

  3. 3

    Download

    Looks identical, but the text is now searchable.

A practical guide to ocr pdf

What OCR actually adds to your scan

A scanned page is just a picture of text, so a computer sees pixels, not words, and cannot search or copy from it. OCR reads that picture, recognizes the letters, and writes them into an invisible layer positioned directly under the image. The page still looks exactly like the original scan, but now you can select a sentence, run a find, copy a paragraph, and let search engines and document systems index the content. Nothing about the visible appearance changes; the value is entirely in the searchable layer riding underneath, quietly turning a flat image into a usable document.

Getting the most accurate recognition

Accuracy tracks input quality closely. A clean scan at a decent resolution, upright and in focus, reads almost perfectly, while a dim phone photo, a skewed page or a faint fax will drop characters. Two settings help most: pick the correct language, or languages, so the recognizer knows which alphabet and accents to expect, and make sure the page is straight before you start. If the scan is crooked or grainy, deskewing and improving the source first pays off more than any OCR option. Faint or unusual fonts and handwriting remain the hardest cases, so proofread anything critical.

Where OCR fits with other tools

OCR is often the enabling step that makes other tasks possible on a scan. Once a text layer exists, you can extract clean text, convert the document to Word or Excel with real editable content instead of a flat picture, or split a batch of statements by the customer name printed on each page, all of which need readable text to work. The order matters: deskew and clean the scan first, then OCR, and only then compress, so recognition runs on the sharpest images and the searchable layer survives into the final, smaller file.

Frequently asked questions

How can I tell whether a PDF actually needs OCR?
Try selecting or searching for a word on the page. If nothing highlights and search finds nothing, the page is an image and needs OCR. If the text selects normally, it is already digital and OCR would add nothing, so you can skip it.
My document mixes two languages. Can OCR handle that?
Yes. You can select more than one language so the recognizer expects both alphabets and special characters on the same page, which matters for accented letters and non-Latin scripts. Choosing only one language on a bilingual page tends to garble the words in the other.
Does OCR make the file larger?
Slightly. It adds an invisible text layer beneath the existing image, so the page picture is unchanged and only the recognized text is added, which is small. If size is a concern, compress after OCR rather than before.
Will OCR straighten or clean up a crooked scan?
No, OCR only reads and adds a text layer; it does not correct the image. A tilted or skewed scan lowers accuracy, so run deskew first and make sure the page is upright, then OCR reads far more of it correctly.

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