A scanned PDF is just an image — Ctrl+F finds nothing. Here's how to add a searchable text layer (OCR) free in 2026, with honest tool comparisons.
When you scan a paper document, the resulting PDF is a stack of page-sized images. Visually it looks like text, but to a computer it's pixels — Ctrl+F returns nothing, copy-paste returns nothing, screen readers return nothing.
OCR (Optical Character Recognition) fixes this by adding an invisible text layer beneath the page image. The visible page doesn't change, but the PDF now behaves like real text: you can search it, copy from it, and screen readers can read it aloud.
Researching a 200-page archived PDF and you can't find the section you remember. Searching a folder of scanned tax records for a specific transaction. Submitting a scanned thesis to a university repository that requires text-extractable PDFs. Making contracts and case files compliant with accessibility regulations.
If the PDF was originally typed in Word or generated by a modern app, it's already searchable — no OCR needed. OCR is only for documents that originated as a scan or photograph.
Upload your scanned PDF to Google Drive. Right-click the file → 'Open with' → 'Google Docs'. Drive runs OCR and opens a Google Doc with the extracted text. The original PDF is untouched, but the Doc gives you searchable, editable text.
Pros: free, works on any computer, surprisingly good accuracy on clean scans. Cons: layout is mangled (multi-column documents become single-column), and you get a Doc, not a searchable PDF — you'd have to re-export to PDF and lose the original page images.
Apple's Live Text (built into macOS Sequoia and iOS 17+) automatically OCRs images and PDFs in Preview, Photos and Quick Look. Open the PDF, select text with the cursor — if it highlights, the text layer is already there.
Pros: free, on-device, no upload, no signup, excellent multi-language support. Cons: Mac and iOS only — useless if you're on Windows, Linux or Android.
PDFWix's OCR tool runs in your browser using Tesseract.js — the same OCR engine that powers most open-source tools. Drop your scanned PDF, pick the language, click OCR, download a fully searchable PDF. The original page images are preserved with an invisible text layer added on top.
Pros: works on every OS, no install, no signup, file never leaves your device, output is a true searchable PDF (not a separate doc). Cons: slightly slower than Apple Live Text on Mac because it's running in JavaScript.
For one-off PDFs on a Mac: Apple Live Text is fastest. For one-off PDFs on Windows/Linux/Android: PDFWix OCR. For converting scans to editable Google Docs: Google Drive. For batch processing dozens of files: a desktop tool like OCRmyPDF (free, command-line) is more efficient than any web tool.
For accuracy on clean 300-DPI scans, all three free methods clear 95%+ on English text. On poor scans, expect 80–90%. On handwriting, expect 70%. Spot-check the output before relying on the text in legal or medical contexts.
No. The original page images are preserved exactly. OCR only adds an invisible text layer underneath the images, making the document searchable.
On clean 300-DPI printed text, 95–99%. On poor scans or coloured backgrounds, 80–90%. On handwriting, 70% on a good day.
No — it runs in your browser via Tesseract.js. Your file stays on your device.