Why searchability matters
- Cmd/Ctrl+F to find specific terms (instead of skimming 50 pages)
- Copy quotes for citations or summaries
- Convert to Word for editing
- Run AI summary or chat-with-PDF on the content
- Index in document management systems (SharePoint, Google Drive, Notion)
How searchable PDFs work
A searchable PDF has two layers per page: the original page image (what you see) and an invisible text layer underneath (what your computer reads). When you select text or search, you're interacting with the invisible layer. Visually, the PDF looks identical to the scan — same fonts, same layout, same imperfections — but it's now machine-readable.
What OCR does behind the scenes
OCR (Optical Character Recognition) is a machine-learning model trained on millions of pages of text in different fonts, sizes, and languages. It identifies character shapes in your scan and matches them to letters and words. Modern OCR (we use Tesseract, the open-source standard) hits 99%+ accuracy on clean printed text at 300 DPI.
Languages we support
25 languages including English, Spanish, French, German, Italian, Portuguese, Dutch, Russian, Polish, Turkish, Arabic, Hindi, Bengali, Chinese (Simplified + Traditional), Japanese, Korean, Vietnamese, Thai, and more. Pick the language(s) the document is written in — picking the wrong one produces gibberish.
After OCR
- Search — Cmd/Ctrl+F finds any term in the document
- Copy/paste — select text and paste into Word, email, etc.
- Convert to Word — run our PDF-to-Word tool to get an editable .docx
- AI summary — run our AI summarizer on the OCR'd content
- Edit — drop new text fields or annotations using our edit-pdf tool