How to Extract Text from Scanned PDFs with OCR — Without Uploading Your Files

You have a scanned PDF — maybe a contract someone scanned on a copier, a receipt photographed with a phone, or an old document that was digitized as images. You need the text from it, but you cannot select or copy anything because the PDF contains pictures of pages, not actual text.

Most OCR tools require you to upload your file to a remote server. That scanned contract with sensitive terms, that medical record, that financial statement — all passing through someone else's infrastructure. YourPDF.tools takes a different approach. The OCR engine (Tesseract.js) runs entirely in your browser. Your file never leaves your device.

Key Takeaways

•Extracts text from scanned or image-based PDFs using Tesseract.js OCR.
•Supports 9 languages: English, Spanish, Portuguese, French, German, Italian, Dutch, Japanese, Korean.
•Your file is processed 100% in your browser — the PDF is never uploaded to any server.
•Copy extracted text to clipboard or download as a .txt file.

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Step-by-Step: How to OCR a Scanned PDF

The process is straightforward and typically takes 10–30 seconds per page, depending on image complexity and your device's processing power.

Open the OCR PDF tool. Navigate to yourpdf.tools/ocr-pdf in any modern browser — Chrome, Firefox, Safari, or Edge all work.
Select the OCR language. Choose the language that matches the text in your scanned document. This is critical for accuracy — selecting the wrong language will significantly reduce recognition quality. If your document contains multiple languages, select the primary language.
Drop your scanned PDF into the upload area. You can drag the file directly from your file manager, or click the area to open a file picker. The file is read locally by your browser. On the first run, the Tesseract.js language model (~15 MB) will be downloaded from a CDN and cached — subsequent uses are instant.
Wait for OCR processing. Each page of your PDF is rendered as an image, then fed to the Tesseract OCR engine for text recognition. You will see a progress indicator showing which page is currently being processed. Typical speed is 10–30 seconds per page.
Copy or download the extracted text. Once processing is complete, the extracted text appears in a text area. Click "Copy" to copy it to your clipboard, or "Download .txt" to save it as a text file. Click "New file" to process another document.

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Understanding OCR: Scanned PDFs vs. Text PDFs

Not every PDF needs OCR. The key distinction is between text PDFs and scanned (image-based) PDFs.

A text PDF was created digitally — exported from Word, generated by software, or printed to PDF. These files contain actual text characters. You can select, copy, and search the text directly. For these files, you do not need OCR; tools like our PDF to Word converter can extract the text directly.

A scanned PDF was created by photographing or scanning a physical document. Each page is stored as an image — like a photograph of the paper. There is no selectable text, just pixels. This is where OCR becomes essential: it analyzes the image and recognizes the characters, converting them into machine-readable text.

A quick test: open your PDF and try to select text with your cursor. If you can highlight individual words, it is a text PDF. If you cannot select anything (or the entire page selects as one block), it is likely a scanned PDF that needs OCR.

Privacy: How Browser-Based OCR Works

Our OCR tool uses Tesseract.js, the JavaScript port of the industry-standard Tesseract OCR engine originally developed by Google. Here is exactly what happens when you use the tool:

Language model download (once): The trained language data (~15 MB) is downloaded from a CDN to your browser and cached. This is the "brain" that enables text recognition. It is downloaded once per language and reused for subsequent documents.
PDF rendering: Your PDF pages are rendered as images using pdf.js, entirely in your browser.
Text recognition: Each page image is fed to the Tesseract.js worker, which runs the OCR algorithm in your browser. No data leaves your device.
Results: The recognized text is displayed in a text area. You copy or download it. When you close the page, nothing remains on any server because nothing was ever sent.

The only network activity is the one-time language model download. Your actual PDF file — the one with your sensitive scanned content — never leaves your device. You can verify this yourself by monitoring your browser's network tab during processing.

Tips for Better OCR Results

Use high-resolution scans. 300 DPI or higher produces the best OCR results. Low-resolution images (below 150 DPI) will have noticeably lower accuracy.
Select the correct language. This is the single most impactful setting. Selecting English for a German document (or vice versa) will produce garbled results.
Ensure good contrast. OCR works best on black text against a white background. Colored paper, faded ink, or low contrast between text and background reduces accuracy.
Straighten skewed scans. Pages that were scanned at an angle are harder for OCR to read. If possible, re-scan the document with the pages aligned straight.
Review and correct the output. Even the best OCR is not 100% perfect. Always proofread the extracted text, especially for names, numbers, and technical terms.

Frequently Asked Questions

What quality can I expect from OCR text extraction?

OCR accuracy depends heavily on the quality of the source document. Clean scans at 300+ DPI with standard printed fonts typically achieve 90–99% character accuracy. Factors that reduce accuracy include: low scan resolution, blurry or faded text, unusual or decorative fonts, handwritten text, complex page layouts with columns and tables, and colored or textured backgrounds. For critical documents, always proofread the OCR output.

Which languages are supported for OCR?

We support 9 languages matching our site's supported locales: English, Spanish, Portuguese, French, German, Italian, Dutch, Japanese, and Korean. Each language uses a separate trained model (~15 MB) that is downloaded and cached by your browser the first time you use it.

Is my PDF uploaded to a server for OCR processing?

No. Your PDF is processed entirely in your browser. The only download is the Tesseract.js language model (~15 MB), which is a one-time download cached by your browser. Your actual PDF file — with all its scanned content — never leaves your device. You can verify this by checking your browser's network activity during processing.

What is the difference between scanned PDFs and text PDFs?

A text PDF contains real text characters embedded in the file — you can select, copy, and search them. These are typically created by "printing to PDF" from Word or other software. A scanned PDF contains images of pages (photographs of paper documents) with no embedded text. OCR is specifically designed for scanned PDFs: it analyzes the page images and recognizes characters to produce machine-readable text.

Does the OCR tool download anything from the internet?

Yes — the Tesseract.js language model (~15 MB) is downloaded once from a CDN the first time you use a particular language. This trained data file is what enables the OCR engine to recognize characters. It is cached by your browser, so subsequent uses do not require another download. Importantly, your PDF file itself is never sent anywhere. After the initial model download, the tool can even function offline.

Extract Text from Scanned PDFs — Free & Private

Related Guides

How to Convert PDF to Word — For text-based PDFs that do not need OCR.
How to Compress PDF Files Online — Reduce the size of your PDF files.
How to Merge PDF Files — Combine multiple PDFs into one document.

Written by Andrew, founder of YourPDF.tools