100% Free Tool — No Signup

Free OCR Scanner

Extract text from scanned pages, screenshots, and image-based PDFs using in-browser OCR. Six languages supported — completely free.

Scan Setup

Click to select an imageJPG, PNG, or screenshot — processed locally in your browser

Extracted Text

Images are automatically upscaled and contrast-corrected before scanning to improve accuracy — for best results, use a flat, well-lit, in-focus photo and pick the Scan Type that matches your source (a single book page vs. a screenshot behave very differently). Everything runs locally in your browser; nothing is uploaded.

Publishing Workflow — Step 2 of 4

Got Your Interior? Design the Matching Cover Next

Amazon KDP requires an exact wrap-around cover with dynamic spine thickness and 0.125" bleed margins. Complete your book now:

Or Open KDPage Studio
Step 01
Recommended Next Step

Automated KDP Cover Creator

Auto-calculates spine width from page count, paper type, and bleed so your cover passes Amazon print check.

Create Cover Blueprint
Step 02
Pricing & Profit

Amazon Print Cost & Royalty Calculator

Verify your manufacturing print cost and discover your minimum retail list price to maximize 60% royalties.

Calculate Royalty
Step 03
Listing Optimization

KDP Description HTML Formatter

Format approved Amazon HTML (<h2>, <b>, <ul>) with character counters and live Amazon product page mockup.

Format Description
All tools include 100% commercial publishing rights for Amazon KDP & Etsy.
Explore all 30+ Free KDP Tools →

Frequently Asked Questions

Is my image uploaded to a server?

No — text recognition runs entirely in your browser using a local OCR model; your image is never uploaded.

Why is the extracted text inaccurate?

OCR accuracy depends heavily on scan quality — flat, well-lit, high-contrast images with horizontal text produce the best results. Try the 'Photo of a Page' scan type for book pages, or 'Sparse Text' for screenshots, and make sure the photo isn't blurry or at an angle.

Can I scan handwriting?

This tool is optimized for printed text; handwritten text recognition is far less reliable and not specifically supported.