Drop your PDF files here, or browse
Max 50 MB per file • Processed 100% in your browser
Make scanned PDFs searchable or extract text to TXT online for free with private, on-device OCR.
Drop your PDF files here, or browse
Max 50 MB per file • Processed 100% in your browser
Processed 100% locally in your browser memory and OPFS with Web Workers.
OCR PDF uses optical character recognition (OCR) to detect text inside scanned or image-based PDF pages and make that text searchable, selectable, and copyable directly in your web browser — for free and without uploading the file anywhere. Instead of retyping non-selectable scans or paper documents, OCR embeds an invisible text layer over the original page layout so you can search keywords with Ctrl+F, highlight sentences, and copy text. You can also export the recognized words as a plain-text (.txt) file.
Standard scanned PDFs are essentially digital pictures of physical paper — they contain pixel images rather than readable fonts. Optical Character Recognition (OCR) analyzes those pixels, identifies letter patterns, and constructs a hidden, selectable text layer directly above the image.
Drag and drop your scanned document or image-only PDF into the processing area above.
Choose the document's language (English, Spanish, French, or German) and specify an optional page range if you only need certain pages recognized.
Select Searchable PDF (.pdf) to keep your original visual layout with selectable text, Extract Text (.txt) for plain text, or Text + Searchable PDF for both in a single pass.
Click Process OCR PDF. Your device processes each page with local WebAssembly. Download your new searchable document immediately.
Open the downloaded PDF and use Ctrl+F or Cmd+F to search keywords, or click and drag to select and copy any sentence — exactly like a native text PDF.
Depending on your goal, you may need to preserve visual layout or simply extract raw words for further analysis:
The OCR PDF tool outputs a searchable PDF or a plain-text (.txt) file — it does not create Word documents directly. To work in Microsoft Word after OCR, convert the result with the PDF to Word tool (it includes its own on-device OCR option for scanned pages). For lightweight, structured reading text, convert the searchable result to Markdown instead.
PDFZento performs Optical Character Recognition using a modern on-device pipeline designed for accuracy and privacy:
pdf-lib positions an invisible text layer over the exact coordinates of detected words, maintaining original page dimensions and graphics.Recognition quality depends heavily on the visual clarity of the uploaded scan. Follow these best practices to get the highest recognition precision:
Most online OCR tools transmit your sensitive files across the internet to third-party cloud servers. PDFZento runs Optical Character Recognition 100% on-device inside your browser sandbox:
Optical Character Recognition (OCR) is a technology that analyzes pixel patterns in scanned documents, photos, or images and converts them into selectable, searchable, and machine-readable text.
Upload your scanned PDF, keep "Searchable PDF (.pdf)" selected, choose your document language, and click "Process OCR PDF". PDFZento runs on-device recognition and overlays an invisible text layer over each page without altering your original scanned visuals.
Yes. Select the "Extract Text (.txt)" option before processing. PDFZento extracts all recognized characters and compiles them into a clean, page-separated plain text file ready for copy-pasting, editing, or analysis.
A Searchable PDF retains your original document layout, images, and formatting exactly as scanned while adding selectable text and Ctrl+F search. An Extracted TXT file contains only the raw plain text characters without images or layouts for lightweight reuse.
No. When generating a Searchable PDF, PDFZento preserves 100% of your original high-resolution page graphics and embeds an invisible text overlay matching the exact position of recognized words.
No. PDFZento runs Optical Character Recognition 100% on-device using WebAssembly and Web Workers. Your files, text, and recognized data never leave your browser or get transmitted across the network.
PDFZento currently supports English, Spanish (Español), French (Français), and German (Deutsch) using bundled high-accuracy LSTM neural network models.
Yes. Use the optional Page Range field in the settings panel to specify exact pages or page intervals (e.g., 1-3, 5, 8-10). Leaving the field blank processes all pages in your document.
OCR is optimized for typed and printed documents. While neat, high-contrast block lettering may occasionally be recognized, cursive and informal handwriting is not reliably supported.
For best results, ensure your document is scanned at 300 DPI or higher, pages are upright without rotation or skew, there is strong contrast between text and background, and the matching document language is selected.
Upload the scanned or image-only PDF, pick the document language (English, Spanish, French, or German), optionally enter a page range, choose "Searchable PDF (.pdf)", "Extract Text (.txt)", or both, then click "Process OCR PDF". The recognized text is added or exported entirely on your device.
Yes. OCR reads the letters in scanned page images and embeds them as an invisible, selectable text layer positioned over each page. The visual layout stays unchanged while the document becomes searchable with Ctrl+F and the text becomes selectable and copyable.
Yes. OCR PDF is completely free and runs online in your browser with no account, no watermark, and no upload. Documents are processed locally on your device using WebAssembly, so you can OCR scans without paying or sharing your files with a server.
Yes. After OCR finishes, the "Searchable PDF (.pdf)" output contains selectable text: click and drag to select sentences, copy them with Ctrl+C or Cmd+C, and search the document with Ctrl+F just like a native text PDF.
Not directly. The OCR PDF tool outputs a searchable PDF or a plain-text (.txt) file rather than a Word document. To continue in Microsoft Word, open the resulting PDF with the PDF to Word tool, which offers its own on-device OCR for any remaining scanned pages.
The OCR tool accepts a single PDF up to 50 MB, matching the limit shown in the upload area. For very large books or high-resolution scans, processing a page range instead of the full document can improve performance on slower devices.