Free PDF OCR Online — Scan to Text

PDF OCR Guide

What Is PDF OCR and When Do You Need It?

OCR (Optical Character Recognition) reads text from images and scanned documents. A standard PDF to text extractor fails on scanned PDFs because there is no embedded text layer — the content is just pixels. OCR analyses the visual shapes in each page image and converts them into machine-readable characters. Use this tool any time copy-paste doesn't work on a PDF, or when you have a photo of a document you need to turn into editable text.

• Scanned documents: Books, forms, receipts, contracts digitised with a flatbed scanner.
• Photos of text: Whiteboard snapshots, screenshots of non-selectable content, signage photos.
• Image-based PDFs: Faxes, legacy reports, and government documents that were scanned rather than natively created.
• 100% private: Tesseract.js runs entirely in your browser — your files never leave your device.
• Multi-language: Supports English, Spanish, French, German, Italian, and Portuguese out of the box.
• PDF and images: Works on PDFs (up to 20 pages) and standalone image files (JPG, PNG, WEBP).
• Completely free: No registration, no watermarks, no usage limits.

How to Use the PDF OCR Tool

Extracting text from a scanned PDF or image takes under a minute for short documents. The tool uses Tesseract.js — the world's most popular open-source OCR engine — running directly in your browser. Follow these three steps.

Step 1: Upload Your File

Drag and drop a scanned PDF or an image file (JPG, PNG, WEBP) into the upload area, or click "Select File" to browse. PDFs are capped at 20 pages — for longer documents, use the PDF Splitter to break them into chunks first. Files up to 50 MB are accepted. Nothing is sent to any server.

Step 2: Choose Language and Start OCR

Select the language of the text in your document from the dropdown. Choosing the correct language significantly improves accuracy. Click "Start OCR" — the first run will download the language model (~4 MB) and then process each page. A live progress bar shows which page is currently being recognised.

Step 3: Copy or Download the Text

Once OCR is complete, the extracted text appears in a scrollable preview. Use "Copy to Clipboard" to paste it directly, or "Download .txt" to save a plain-text file. The word and character counts are shown at the top of the result area. Click "Start Over" to process another file.

PDF OCR: Key Features

This tool is built for students digitising textbook pages, office workers extracting data from faxed invoices, and researchers processing archival scans. The 20-page cap is intentional — Tesseract.js performs OCR frame by frame in the browser and takes 3–8 seconds per page depending on image resolution and complexity. For documents longer than 20 pages, split them first.

High-Resolution Rendering

PDF pages are rendered at 2× scale before OCR, giving Tesseract higher-resolution input and significantly better accuracy for small fonts and dense text. Images are used at their native resolution.

Multi-Language Support

The tool supports English, Spanish, French, German, Italian, and Portuguese. Each language uses a separate Tesseract model that is downloaded on demand (~4 MB) and cached in your browser for subsequent runs. Switching languages downloads the new model once.

Privacy by Design

All OCR processing happens client-side inside your browser tab. No file data is transmitted to any server. Once you close the tab, nothing is retained — making this tool safe for confidential invoices, medical records, and legal documents.

Frequently Asked Questions

What is the difference between PDF OCR and PDF to Text extraction?

PDF to Text extraction reads the embedded text layer that exists in natively-created PDFs (made with Word, Google Docs, etc.). OCR is required when there is no text layer — typically scanned documents or image-based PDFs. If you can highlight and copy text in your PDF reader, use the PDF to Text Extractor. If copy-paste returns nothing, use OCR.

Why is there a 20-page limit?

Tesseract.js runs OCR in the browser without any server support. Processing a single high-resolution page takes 3–8 seconds — a 50-page document would take 5–7 minutes and could make the browser tab unresponsive. The 20-page cap gives you the best balance of capability and speed. Use the PDF Splitter to break longer documents into 20-page chunks.

How accurate is the OCR?

Tesseract accuracy depends heavily on image quality. Clean, high-contrast scans at 300 DPI or above typically achieve 95–99% character accuracy. Low-resolution, skewed, or handwritten content may produce more errors. For best results, scan at 300 DPI and ensure good contrast between text and background.

Does it work on handwritten text?

Tesseract.js is optimised for printed text and performs poorly on handwriting. Handwritten recognition requires specialised neural models beyond the scope of this tool. For printed text — even degraded or faxed documents — accuracy is generally high.

Is this PDF OCR tool free?

Yes, completely free. There are no file size paywalls beyond the 50 MB per-file cap, no watermarks on the output, and no account or email is required. The OCR engine (Tesseract.js) is open-source and runs locally in your browser.

Related Tools

Looking for more PDF tools? Try the PDF to Text Extractor for PDFs with selectable text, the PDF Splitter to break large PDFs into chunks before OCR, or browse all PDF utilities on QuickTooly.