OCR PDF
Turn PDFs into searchable text documents.
Ready to use
OCR PDF
Upload one PDF and rebuild a searchable text PDF. On this host, the current mode works for PDFs that already expose readable text. Scanned image-only PDFs still require a real OCR engine.
Usage notes
Host-Limited- One source PDF per request
- Current host mode rebuilds searchable text PDFs
- Image-only scanned PDFs still need a real OCR engine
- Locked PDFs must be unlocked first
Turn pictures of text into real, searchable, selectable text
A scanned PDF looks like a normal document but behaves like a photo album. Try to search for a word — nothing happens. Try to copy a paragraph — you get an empty clipboard. Try to hand it to a screen reader — silence. The pages are images of text, not text, and every feature that depends on a text layer is broken.
OCR (optical character recognition) is the fix. The OCR PDF tool analyzes each page image pixel by pixel, recognizes the shapes of characters, and writes an invisible text layer underneath the original image. The visual result is identical — the page still looks exactly like the scan you uploaded — but every PDF reader can now see the text beneath. Searching works. Copy-paste works. Screen readers read the content aloud. Accessibility audits pass. And downstream tools like PDF-to-Word can now produce a meaningful editable document instead of a picture-filled mess.
The tool supports multiple languages and can auto-detect the source, but for best accuracy you should specify the language explicitly when you know it. A French document run through English-only OCR produces word-shaped nonsense; the same document with French OCR comes out nearly perfect. Multilingual documents can be run with multi-language mode enabled, at the cost of slightly lower accuracy per language.
Accuracy depends heavily on source quality. A clean 300 DPI scan with crisp black text on white paper can hit 99%+ accuracy. A crumpled, low-contrast photo taken with a phone in poor lighting might drop into the 80s. If accuracy matters — legal documents, academic citations, automated processing downstream — rescan at higher resolution and good lighting before running OCR, rather than trying to fix it after.
How to OCR a scanned PDF
- Check the source quality first
Open the scan in any reader and judge it with your own eyes. Text should be crisp, not blurry. Pages should be flat, not warped. If the scan is poor, rescan at 300 DPI before running OCR — fixing a bad scan in post is much harder than making a clean scan in the first place.
- Upload the PDF and pick the language
Drop the scan into the upload area. Select the source language explicitly if you know it — English, French, German, Spanish, Arabic, and others are supported. For mixed-language documents, enable multi-language mode.
- Let the OCR pass run
OCR takes longer than most PDF operations — expect a few seconds per page on clean text, longer on images with noise or low contrast. The tool displays progress page by page.
- Verify accuracy on a sample page
Before trusting the output, search for a word you know appears on page 1. If the search highlights the right word, OCR landed. If it highlights nothing or the wrong word, revisit the source quality or language selection.
- Download the searchable PDF
The output looks identical to the input but now has a hidden text layer. Every downstream tool (search, copy-paste, PDF-to-Word, screen readers) can now read the content.
Common use cases
- Archive scanned paper records
Turn a cabinet of scanned invoices, contracts, or tax records into a searchable archive you can grep through in seconds.
- Prepare scans for editing
Run OCR before converting a scan to Word — without the text layer, conversion produces an image-filled DOCX that isn't editable in any meaningful way.
- Make documents accessible
Add a real text layer so screen readers can narrate the document to users with visual impairments, bringing the file into compliance with accessibility standards.
- Search across large document sets
Batch-OCR a library of historical scans so full-text search works across the whole collection, not just the modern born-digital files.
Privacy & security
OCR runs on our own infrastructure using open-source engines — we don't ship your document off to a third-party cloud recognition service. Pages are processed in isolated workers, and the recognized text is written back into the output PDF rather than stored in a separate database. Both the uploaded scan and the OCR'd output are removed from our servers shortly after your download completes. The recognized text is never retained, indexed, or used for training.
Frequently asked questions
What accuracy can I expect?
A clean 300 DPI scan of printed text usually hits 95–99% accuracy. Poor-quality scans, handwriting, unusual fonts, or very small text degrade accuracy sharply. If accuracy matters for downstream use, improve the source before OCR rather than trying to correct errors after.
Which languages are supported?
The common ones — English, French, German, Spanish, Italian, Portuguese, Dutch, Arabic, and several others. Specifying the correct language explicitly gives far better accuracy than relying on auto-detection.
Can I OCR handwritten text?
OCR is designed for printed text. Handwriting recognition is a separate problem with much lower accuracy in general, and this tool does not specialize in it. For handwriting-heavy documents, expect poor results.
Does OCR change how the PDF looks?
No. The visual page is unchanged — OCR adds an invisible text layer underneath. Readers see the same scanned image; search and copy-paste now find the text behind it.
Should I OCR before or after compressing a scan?
OCR first, then compress. Compressing a scan aggressively before OCR can reduce the image quality enough to hurt recognition. Once the OCR layer exists, compression on the visual layer doesn't destroy the searchable text.
Are the uploaded PDFs and text deleted afterward?
Yes. Both the uploaded scan and the OCR'd output are removed from our servers shortly after your download. The recognized text is never retained.