What does OCR do to a PDF?
OCR reads text from scanned page images and adds a searchable text layer to the PDF. The page still looks like the original scan, but supported PDF readers can search or select recognized text.
Make scanned PDFs searchable with OCR
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OCR PDF adds a searchable text layer to scanned PDFs. The point of the tool is to make a document that behaves like a page image searchable, copyable and easier to index in your own files.
Run it on PDFs that came from a scanner, phone camera or copier, where the text cannot be selected in a PDF reader. It can help with contracts, letters, forms, statements, class notes, receipts, reports and old scanned archives.
Choose the language that matches the document text. PDFem supports a focused set of popular OCR languages so the server can keep OCR jobs practical. If a document mixes languages, choose the main language on the page. Very mixed text may need manual review afterward.
OCR works best with straight pages, clear contrast, sharp text and minimal shadows. Blurry phone photos, handwriting, heavy stamps, skewed pages and low resolution scans can reduce accuracy. OCR can make a scan searchable, but it should not be treated as a perfect transcription for legal, medical or financial work without review.
OCR is heavier than ordinary PDF edits, so PDFem runs OCR through a separate queue. One OCR job runs at a time and a small number can wait. The page and file limits are stricter than regular tools because OCR uses more CPU and memory than merging or rotating pages.
Open the output and try searching for a word that appears on the page. If you plan to convert the file to Word, Excel or CSV, run OCR first and then use the conversion tool. Uploaded files, intermediate OCR files and outputs are all deleted automatically around the 10 minute mark.
Choose one PDF with up to 10 pages and a total size of 25 MB or less.
Select the main language used in the scan so OCR can read it more accurately.
Wait while PDFem creates a searchable PDF, then download the finished file.
OCR reads text from scanned page images and adds a searchable text layer to the PDF. The page still looks like the original scan, but supported PDF readers can search or select recognized text.
Yes, if the scan is clear enough for the OCR engine to read. Straight pages, sharp text and good contrast improve the result. Blurry photos, handwriting and heavy shadows can reduce accuracy.
No. OCR can help with many scanned documents, but it cannot reliably read text that is too blurry, cut off, handwritten or low contrast. Review the output before using it for important work.
Choose the main language used in the document. Language choice helps OCR recognize words and characters more accurately. If the document mixes languages, choose the language that appears most often.
If the text is already selectable, OCR may not be needed. PDFem can skip text that already exists in the file depending on the OCR settings. Use OCR mainly for image based scans.
OCR uses more CPU and memory than ordinary PDF edits. Limiting OCR to one file helps keep the server stable and gives each job a better chance of finishing.
Your job can wait in the OCR queue if another OCR job is already running. The page should show a waiting or running status instead of a generic server error. If the queue is full, try again later.