Enhanced OCR Engine with Image Preprocessing

Extract Text from
Any Image Accurately

Advanced image preprocessing pipeline cleans, sharpens, and optimizes your image before OCR — delivering dramatically higher accuracy.

Start Extracting See How It Works
Private & Secure
Pre-Processed
100+ Languages
Unlimited Use

Image to Text Converter

Upload an image — our engine preprocesses it for maximum accuracy

Enhanced Preprocessing

Auto-scales, denoises, sharpens, and binarizes image before OCR

Drop your image here

or click to browse files

Supports JPG, PNG, WEBP, BMP, GIF — Max 10MB

0

Images Processed

0

Languages Supported

0

Percent Accuracy

0

Data Stored

How It Works

Our 5-stage pipeline preprocesses your image before OCR for maximum accuracy.

01

Upload

Drop or select any image with text.

02

Preprocess

Scale, grayscale, contrast, denoise, binarize, sharpen.

03

OCR Engine

Tesseract.js recognizes characters via WebAssembly.

04

Get Text

Copy or download the extracted text instantly.

Why Choose TextSnap

Advanced preprocessing + Tesseract OCR = best free browser-based accuracy.

7-Stage Preprocessing

Auto-scale, grayscale, contrast stretch, Gaussian denoise, Otsu binarization, morphological cleanup, and sharpening — all before OCR.

Complete Privacy

Images are processed entirely in your browser. Nothing is uploaded to any server — ever.

PSM Mode Control

Choose page segmentation mode — auto-detect, single block, single line, sparse text — for optimal results on any layout.

High Accuracy

Preprocessing alone can boost accuracy by 15-30% on low-quality images compared to raw OCR.

Works on Mobile

Fully responsive. Extract text from images on any device — phone, tablet, or desktop.

Always Free

No hidden fees, no premium tiers, no signup walls. Every feature available to everyone.

Tips for Best Results

Keep Enhanced Mode ON

The preprocessing pipeline dramatically improves accuracy on most images.

Choose the Right PSM Mode

Use "Single Line" for receipts, "Auto" for pages, "Sparse" for screenshots.

Use High-Resolution Images

The auto-scaler helps, but starting with a clear image is always best.

Printed Text Works Best

Tesseract excels at printed text. Handwriting has limited support.

Good Contrast Helps

Dark text on light background. The enhancer fixes mild issues automatically.

Select Correct Language

Matching the OCR language to the text language improves accuracy significantly.

Frequently Asked Questions

Everything you need to know about TextSnap OCR.

Yes, TextSnap is 100% free with no hidden charges, no premium plans, and no usage limits.
Absolutely. Your images never leave your device. All processing — including preprocessing and OCR — happens directly in your browser.
It runs a 7-stage pipeline: auto-scaling for optimal resolution, grayscale conversion, contrast enhancement via histogram stretching, Gaussian noise reduction, Otsu binarization (converting to pure black and white), morphological cleanup to fix broken characters, and edge sharpening. This can improve accuracy by 15-30% on low-quality images.
TextSnap supports JPG, JPEG, PNG, WEBP, BMP, and GIF formats up to 10MB.
PSM (Page Segmentation Mode) tells the OCR engine how to interpret the image layout. "Auto Detect" works for most cases. Use "Single Line" for receipts or single-line text, "Single Block" for paragraphs, and "Sparse Text" for images with text scattered around.
With Enhanced Preprocessing ON, clear printed text images achieve 95-99% accuracy. Low-contrast, noisy, or small images see the biggest improvement from preprocessing.
No limit. Process as many images as you need, as often as you want.
Canvas API for image preprocessing, Tesseract.js (WebAssembly port of Google's Tesseract OCR) for text recognition, all running locally in your browser.

About TextSnap

TextSnap was created with a simple mission: make OCR technology accessible to everyone, everywhere, without barriers. We believe that extracting text from images should be as easy as taking a screenshot.

What sets TextSnap apart is our 7-stage image preprocessing pipeline. Before any OCR happens, your image goes through automatic scaling, grayscale conversion, contrast enhancement, noise reduction, binarization, morphological cleanup, and sharpening. This pipeline — which normally requires desktop software like Photoshop or GIMP — runs entirely in your browser using the Canvas API.

Our tool leverages Tesseract.js, an open-source OCR engine compiled to WebAssembly, to deliver powerful text recognition directly in your browser. This means your images are never uploaded to any server — all processing happens locally on your device, ensuring complete privacy.

This project is maintained by a small team of developers passionate about making useful tools freely available. If you find TextSnap helpful, consider sharing it with others.

Contact Us

Have questions, feedback, or suggestions? We'd love to hear from you.

By submitting, you agree to our Privacy Policy.