OCR PDF

OCR (Optical Character Recognition) converts text trapped in images and scanned PDFs into searchable, selectable, and editable text. A scanned document is, to a computer, just a picture of words — you cannot search it, copy from it, or feed it to other tools. OCR recognizes the shapes of letters and produces real text. VisualDocs uses PDF.js to extract embedded text from digital PDFs in the browser; the Pro plan adds AI-powered Tesseract OCR for scanned and image-only documents.

The free tier handles digital PDFs where the text is already embedded as a selectable layer (many "PDFs" are actually this, not scans). When the free extraction returns empty or near-empty text, your PDF is image-only and needs the Pro OCR path, which runs the page through Tesseract to recognize printed text — and, with AI OCR, even handwriting. This is the bridge that turns a static scan into a working document.

Once OCR'd, a scanned document becomes searchable with Ctrl+F, copyable into other apps, convertible to Word, and ready for summarization or data extraction. The free tier supports English, French, German, Spanish, Italian, and Portuguese; Pro adds 50+ additional languages including Arabic, Chinese, and Japanese. OCR accuracy depends heavily on scan quality, so clear, high-contrast, straight scans recognize far better than dark or skewed ones.

Tesseract, the engine behind the Pro OCR path, works by binarizing the page into black and white, segmenting it into text lines, and then matching character shapes against trained language models, which is why selecting the correct language pack matters so much for accuracy on documents with accented characters or non-Latin scripts. The recognition pipeline runs server-side on the Pro tier because the Tesseract WASM bundle and language data files are large enough that loading them in the browser on every visit would be impractical, so the page image is sent to an edge function for processing and the extracted text returns as a searchable PDF layer. For multi-language documents like bilingual contracts, you can specify a primary and secondary language to improve recognition on mixed-script pages.