OCR PDF Online Free โ€“ Make Scanned PDF Searchable & Selectable | PDF Online Editor
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OCR PDF Online Free โ€“ Make Scanned PDF Searchable & Extract Text

OCR PDF files directly in your browser. Convert scanned PDFs into searchable, copy-able text using Tesseract.js โ€” a proven open-source OCR engine. Supports 40+ languages. Page-by-page progress with confidence scores. Your file never leaves your device.

โœ… 100% Free ๐Ÿ”’ Files Stay on Your Device ๐Ÿง  Tesseract.js OCR Engine ๐ŸŒ 40+ Languages ๐Ÿ“Š Confidence Scores
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OCR PDF โ€“ Make Scanned PDF Searchable

Upload โ†’ choose language โ†’ run OCR page-by-page โ†’ copy or download extracted text

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Drop your scanned PDF or image here

PDF, PNG, JPG, WebP, TIFF supported ยท Files stay in your browser

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OCR processes each page as an image. For best accuracy: ensure the scan is clean and high-resolution (300 DPI+), select the correct language, and avoid pages with heavy background patterns or handwriting.
Output
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Plain Text
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Text + Page Breaks
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Copy to Clipboard

Initialising OCR engineโ€ฆ

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Loading Tesseract.jsโ€ฆ

โœ… OCR Complete

๐Ÿ”OCR PDF Online Free โ€“ Turn Scanned Documents Into Searchable Text

OCR PDF documents online and you unlock text that was previously locked inside images. I work with a lot of archived documents โ€” old contracts, scanned invoices, government-issued certificates โ€” and the inability to search, copy or index that text is a genuine daily frustration. A scanned PDF is just a collection of page images. Without OCR, there's no text layer at all.

This tool uses Tesseract.js, the browser port of Tesseract โ€” the most widely used open-source OCR engine, originally developed by HP and now maintained by Google. It runs entirely inside your browser, which means your documents never leave your device. For confidential documents โ€” financial statements, legal contracts, medical records โ€” that privacy guarantee matters.

The output is the extracted text, shown page by page with a confidence score for each page. You can copy it directly or download as a .txt file. For high-volume or very long documents, consider processing page ranges in batches to keep it manageable.

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Tesseract.js Engine

Proven open-source OCR, runs 100% in browser

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40+ Languages

English, Arabic, Chinese, Hindi, Urdu, Japanese and more

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Confidence Scores

Per-page accuracy rating so you know what to review

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100% Private

No server upload, file stays on your device entirely

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Image PDF Support

Works on PNG, JPG, WebP and TIFF images too

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Quality Control

Adjust render scale and OCR mode for best results


๐Ÿ“‹How to Use OCR on a PDF โ€“ Step by Step

1

Upload Your PDF

Drop a scanned PDF, or a PNG/JPG/TIFF image. The tool shows a thumbnail for each page and reports the page count.

2

Select Language

Choose the language of your document from the dropdown. This is the most important setting for accuracy โ€” wrong language = wrong character mappings.

3

Set Quality & Range

Choose render quality (High recommended) and a page range if you only need specific pages. Leave the range blank to process all pages.

4

Run OCR

Click Run OCR. The tool processes each page in sequence, showing the thumbnail, page progress, and confidence score as it completes each one.

5

Copy or Download

The extracted text appears page by page. Copy it to clipboard or download as a .txt file. A confidence summary shows overall OCR quality.


๐Ÿ“ŠOCR Accuracy โ€“ What Affects It and How to Improve It

OCR accuracy varies significantly depending on the quality of the source document. Here's what has the biggest impact:

FactorImpact on accuracyWhat you can do
Scan resolutionVery high โ€” 300 DPI is the minimum for reliable OCR, 400+ is betterUse Ultra render quality for low-res scans; re-scan at higher DPI if possible
Language selectionCritical โ€” wrong language causes incorrect character mapping entirelyAlways select the document's actual language before running OCR
Text typeHigh โ€” typed/printed text is much easier than handwritingHandwritten text will have significantly lower accuracy; consider manual transcription
Page skew/rotationModerate โ€” pages that aren't straight reduce accuracy noticeablyStraighten and deskew scans before OCR if possible
Background noiseModerate โ€” speckles, watermarks, and patterns interfere with character recognitionClean up background in image editing software before OCR
Font typeLow-moderate โ€” standard serif and sans-serif fonts process well; decorative fonts less soUse Auto layout detection mode for mixed-font documents

What the confidence score means

Each page gets a confidence score (0โ€“100) after OCR. Above 85 is generally reliable for standard typed text. Between 60โ€“85 means the page processed but some characters may be wrong โ€” worth spot-checking. Below 60 indicates the page quality was poor โ€” the text should be reviewed manually. Pages with very low resolution, heavy marks, or handwriting frequently score below 50.


๐ŸŒOCR Language Support

The tool supports 40+ languages via Tesseract.js language packs. Each language pack loads on demand โ€” the first time you run OCR in a new language, there's a brief download (5โ€“15 seconds). Subsequent runs in the same language are instant. Supported languages include:

  • Latin scripts: English, French, German, Spanish, Portuguese, Italian, Dutch, Polish, Swedish, Norwegian, Danish, Finnish, Czech, Romanian, Turkish and more
  • Right-to-left scripts: Arabic, Hebrew, Urdu
  • Asian scripts: Chinese Simplified, Chinese Traditional, Japanese, Korean, Thai, Vietnamese
  • Devanagari: Hindi
  • Cyrillic: Russian, Ukrainian

For multilingual documents, select the dominant language. Tesseract handles mixed-language documents imperfectly โ€” separate passes per language give better results for documents with significant content in two different languages.


๐Ÿ’กTips for Best OCR Results

  • Always select the correct language first: This is the single most impactful setting. English selected for an Arabic document will produce complete garbage. Language selection determines which character set and linguistic model Tesseract applies.
  • Use High or Ultra render quality for old scans: The render scale determines the resolution of the image fed to the OCR engine. Higher scale = more pixels = better character resolution. Ultra is slower but significantly more accurate for low-quality scans.
  • Process a test page first: If you have a long document, process just page 1 first to check the accuracy and adjust settings before processing the entire file.
  • Use "Single uniform block" mode for invoices and tables: Auto layout detection sometimes struggles with tabular layouts. For invoices, financial statements, and structured forms, try PSM 6 (Single uniform block) for better results.
  • Use "Sparse text" mode for forms with isolated fields: PSM 11 is specifically designed for pages where text is scattered rather than flowing in paragraphs โ€” works well on fill-in forms, ID cards, and certificates.
  • Process large documents in page ranges: For PDFs with 50+ pages, split the process into ranges of 10โ€“20 pages at a time. Browser-based OCR is memory-intensive; processing too many pages at once can slow down or crash on lower-end devices.

โ“Frequently Asked Questions

What is OCR and how does it work on PDFs? +
OCR stands for Optical Character Recognition. When applied to a scanned PDF, it renders each page as an image and then analyses the pixel patterns to identify text characters. A scanned PDF is just a collection of images โ€” there is no actual text data in the file, only pictures of text. OCR converts those pictures back into real text data that you can search, copy, and edit. This tool uses Tesseract.js, a proven open-source OCR engine, running entirely inside your browser.
Can I extract text from a scanned PDF without uploading it? +
Yes. This tool processes everything inside your web browser using Tesseract.js and PDF.js. Your file is never sent to any server. It stays on your device throughout. You can disconnect from the internet after the page loads and the tool will still work. This makes it suitable for confidential documents like contracts, financial statements, and medical records.
What languages does the OCR support? +
The tool supports 40+ languages including English, Arabic, French, German, Spanish, Italian, Portuguese, Chinese (Simplified and Traditional), Japanese, Korean, Hindi, Urdu, Russian, and many more. Select the document language from the dropdown before starting OCR. For best accuracy, always select the correct language โ€” wrong language selection is the most common reason for poor OCR output.
How accurate is browser-based OCR? +
Accuracy depends mainly on scan quality and language selection. Clean, high-resolution scans of typed text (300 DPI+) with the correct language selected typically achieve 90โ€“98% accuracy. Handwritten text, low-quality scans, unusual fonts, or documents with heavy backgrounds will have lower accuracy. The confidence score per page helps you identify which pages need manual review.
Why is OCR slow? +
Browser-based OCR is computationally intensive. Tesseract.js processes each page image sequentially using your device's CPU. Processing time is typically 5โ€“20 seconds per page depending on page complexity, render quality, and your device's processing speed. Multi-page documents will take proportionally longer. The page-by-page progress display shows exactly which page is being processed and how far along the overall job is.
What do I get as output from the OCR? +
You get the extracted text displayed page by page in the results panel. Each page shows the recognized text with the confidence score. You can copy the full text to clipboard with one click, or download it as a .txt file. The page-break output format includes clear page separators so you know which text came from which page of the original document.

Ready to Extract Text from Your Scanned PDF?

Free, private, powerful. Browser-based OCR with 40+ languages and per-page confidence scores.

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