OCR PDF

OCR PDF uses Tesseract.js — the browser port of Google's Tesseract OCR engine — to recognise text in scanned PDF pages and embed a searchable text layer. The output is a PDF where you can select, copy, and search the text content, and where the original scan image is preserved visually beneath the text layer. This is the correct pre-processing step for scanned documents before using PDF to Word, PDF to Excel, or PDF to Text — those tools require selectable text to function correctly.

OCR PDF is designed for archive teams, students, and operations-heavy businesses. It runs entirely in your browser — your files are never uploaded to any server.

Step 1: Add your file. Click the upload area above or drag and drop your scanned pdfs or image files directly onto it. Step 2: Adjust settings if needed. Use the settings panel to configure options such as output quality, page range, or file naming. Step 3: Run the tool. Click the action button. For simple tasks this takes a few seconds; for larger files or complex operations like OCR it may take up to a minute. Step 4: Download your result. The output file downloads automatically. No email, no sign-up, no waiting room.

One important note: if you are processing confidential documents — financial statements, legal contracts, medical records, or identification — none of this data passes through any external server. The entire operation runs inside your browser, and the file is cleared from memory when you close the tab.

A 300 DPI A4 scan of a clean typewritten document achieves approximately 97–99% character recognition accuracy with the English language model. Handwritten content: Tesseract is not trained for handwriting recognition. Accuracy on cursive handwriting is typically below 50%. Processing speed: approximately 3–8 seconds per page depending on image complexity and device speed. Languages supported: 100+ via Tesseract language packs. English, French, German, Spanish, Italian, Portuguese, Dutch load automatically. Arabic, Chinese (simplified), Japanese, Hindi, Urdu, Bengali are available on request.

If you are preparing files for a specific portal, check the upload limit before processing. Compress PDF is available immediately after this tool if you need to reduce file size for submission.

Low-quality scans (below 150 DPI, heavy shadow from curved book spines, significant skew) will produce poor OCR output. The underlying image quality determines the upper bound of what OCR can achieve. Two-column academic papers and newspaper layouts may have columns recognised out of reading order — text from column 2 may appear mid-sentence after column 1 text in the extracted output. Tables in scanned documents are recognised as flowing text, not as structured table data. For tables, use PDF to Excel after OCR — the extraction will be imperfect but better than the pre-OCR state. Tesseract does not recognise mathematical notation accurately. Equations should be treated as requiring manual correction.

When you use a typical online PDF tool, your document is uploaded to a company's server, processed there, and returned as a download. During that process, the company technically has access to your file. For sensitive files — payslips, ID documents, client contracts — that is a real privacy consideration.

PDF Genius Pro takes a different approach. OCR PDF runs entirely in your browser using standard web technology. Your file is read by your browser's JavaScript engine, processed locally, and saved to your downloads folder. At no point does the file travel to a server. This is why the tool continues working even if your internet connection drops mid-process — it does not need the internet to do its job once the page has loaded.

Take a moment to review the output before sending it on. The most important checks for ocr pdf are: Select a paragraph of text in the output PDF and confirm it selects correctly — the text layer should align with the visual characters. Use Ctrl+F to search for a distinctive word from the document — it should return a result. Check a table or two-column section — note any column ordering issues that will need manual correction if the text is being extracted for further use. Verify the visual scan image quality has not degraded — the original image should appear exactly as in the source.

If the result does not look right, you can re-run the tool with different settings at no cost. Adjusting quality, page range, or file order are quick fixes. The tool is designed to support iteration.

OCR PDF works on mobile browsers including Safari on iPhone and iPad, and Chrome on Android. The upload area supports tap-to-browse on mobile devices, and drag-and-drop works on tablets. Processing is handled by your device's own processor, so performance depends on your device's speed and available memory.

For very large files (over 30 MB), a desktop browser on a computer with more RAM will give faster and more reliable results. For typical document tasks, mobile processing works well.