OCR PDF

Extract text from scanned PDF

Drop files here or click to upload

Select PDF files from your device

Scanned documents, photographed pages, and image-based PDFs represent a significant portion of the documents people work with every day. Old contracts that were filed as paper, research papers that exist only as scanned archives, meeting notes photographed with a phone, or government forms that were never digitally typed — all of these contain valuable information locked inside images that cannot be selected, copied, searched, or edited by normal means. Optical Character Recognition (OCR) is the technology that reads image-based text and converts it into actual machine-readable characters. LazyPDF's OCR tool uses Tesseract.js, an open-source implementation of Google's Tesseract OCR engine that runs entirely in your browser without sending your files to any server. This is unusual and valuable: most online OCR services require you to upload your documents to their servers, where the content is processed and potentially retained. With LazyPDF, your scanned contracts, tax forms, medical records, and personal letters are analyzed entirely on your device, preserving your privacy completely. The tool supports dozens of languages including English, French, German, Spanish, Portuguese, Japanese, Chinese, Arabic, and many others — selecting the correct language for your document significantly improves accuracy. Once processing completes, you can copy the extracted text to your clipboard or download it as a plain text file to use in Word, Google Docs, or any other application where you need the content to be editable and searchable.

How It Works

OCR PDF converts scanned pages or image-based PDFs into selectable, searchable text by running each page through Tesseract.js — a JavaScript port of Google's Tesseract OCR engine, one of the most accurate open-source OCR systems available. The tool renders each page as a canvas image using pdfjs-dist, then passes that image to Tesseract.js, which applies its trained neural network models to identify character patterns and reconstruct the text. Tesseract's language models have been trained on millions of text samples per language, achieving 95–99% accuracy on clean scans. The extracted text from all pages is assembled in sequence and made available for clipboard copy or plain text download. Everything runs locally in your browser — no document data ever reaches a server.

Key Features

100+ Language Support

Supports text recognition in over 100 languages including English, French, German, Spanish, Portuguese, Japanese, Chinese, Arabic, Korean, Hindi, and many more.

Browser-Based OCR Engine

Tesseract.js runs locally in your browser. Your scanned documents are never uploaded to any server, protecting sensitive content like medical records or contracts.

Copy & Download Text

Copy the extracted text directly to your clipboard or download it as a plain .txt file ready for use in Word, Google Docs, or any other application.

Real-Time Page Progress

A live progress indicator shows which page is being processed and the overall completion percentage so you know exactly how long the extraction will take.

Works on Scanned PDFs

Extracts text from image-based PDFs where text is locked inside scanned pages and cannot be selected or copied by normal means.

No Server Upload

Unlike most online OCR services that process your files on remote servers, LazyPDF's OCR runs entirely on your device, ensuring complete privacy.

Multi-Page Documents

Process entire multi-page scanned documents in one operation. Text from all pages is combined into a single ordered output.

Frequently Asked Questions

How accurate is the OCR text recognition?

Accuracy depends heavily on scan quality. Clean, high-resolution scans of printed text typically achieve 95–99% accuracy with Tesseract.js. Handwritten text, low-resolution scans under 150 DPI, or unusual decorative fonts will produce lower accuracy. Selecting the correct document language improves results significantly.

Can OCR recognize handwritten text?

Tesseract.js is primarily designed for printed text recognition. It may partially recognize very neat, consistent handwriting, but results are unreliable for most handwritten content. For best results, use this tool with clearly printed or typed scanned documents.

Why does OCR processing take a while?

OCR renders each page as an image and analyzes every character using machine learning models loaded in your browser. This is computationally intensive, especially on mobile devices. A 10-page scanned PDF might take 1–3 minutes on a desktop and 3–8 minutes on a phone.

Does OCR make the PDF searchable?

This tool extracts text and provides it as plain text for copying or downloading. It does not embed text back into the PDF as a searchable overlay layer. For a fully searchable PDF, you would need dedicated PDF OCR software like Adobe Acrobat or ABBYY FineReader.

What scan resolution gives the best OCR results?

A scan resolution of at least 300 DPI produces good results for typical printed text. Below 200 DPI, accuracy drops noticeably, especially for smaller fonts. When scanning specifically for OCR, use 300–400 DPI for the best balance of quality and file size.

Can I perform OCR on a multi-page scanned PDF?

Yes. The tool processes every page sequentially and extracts text from all of them. The extracted text from all pages is combined into a single output with clear page boundaries indicated. For long documents, processing may take several minutes on slower devices.

Does the tool work for non-Latin scripts like Arabic or Japanese?

Yes. Tesseract.js includes trained models for Arabic, Hebrew, Japanese, Chinese (Simplified and Traditional), Korean, Hindi, Thai, and many other non-Latin scripts. Select the appropriate language from the dropdown before starting recognition for the best accuracy.

Can I use OCR output in Microsoft Word or Google Docs?

Yes. Once extracted, copy the text from the results panel and paste directly into any word processor. Alternatively, download the .txt file and open or import it into your editor. Some light formatting cleanup may be needed for documents with complex multi-column layouts.

What types of PDFs work best with OCR?

Clean, high-contrast scans of standard printed text — like typed letters, printed forms, or photocopied documents — yield the best results. Dark ink on white paper scanned at 300 DPI is ideal. Faded documents, low-contrast prints, or highly stylized typography will yield lower accuracy.

Why choose browser-based OCR over uploading to a server?

Most online OCR services process your documents on their servers, where the content may be retained, indexed, or used for training. Browser-based OCR means your document never leaves your device — critical for medical records, legal contracts, financial statements, or any sensitive personal documents.