
How to Read QR Codes from Images Using JavaScript?
QR codes are everywhere! They are used for websites, payments, menus, and much more. But how do you scan a QR code from an image on your computer or phone using JavaScript? Even if you're not a programmer, this guide will help you understand how it works in simple terms.
What is a QR Code Scanner?
A QR code scanner is a tool that reads QR codes and converts them into text, links, or other useful information. Many mobile phones have built-in QR scanners in their camera apps, but sometimes you need to scan a QR code from an image stored on your device. This is where a JavaScript QR code scanner can help.
How Does a QR Code Scanner Work in a Website?
Upload an Image – The user selects a QR code image from their device.
Read the Image – The JavaScript program analyzes the image to find the QR code.
Decode the QR Code – The scanner extracts the information stored inside the QR code.
Display the Result – The website shows the decoded text or link to the user.
Using JavaScript to Scan QR Codes
Developers use a tool called Dynamsoft Barcode Reader to make scanning possible in a web browser. It can scan QR codes from both live camera feeds and uploaded images.
Example of How It Works
A button allows users to upload an image.
A scanner reads the QR code from the uploaded image.
The result is displayed on the screen.
How a QR Scanner is Coded
Although you don’t need to know how to code, here’s a simple explanation:
A library (Dynamsoft Barcode Reader) is loaded onto the web page.
A file input lets users select an image.
JavaScript reads the image and extracts the QR code.
The decoded information is shown as text or a link.
Features of a JavaScript QR Code Scanner
Scans from images: Upload an image to decode a QR code.
Scans from live video: Use your webcam to scan QR codes in real-time.
Works on mobile & desktop: No need to install an app, works directly in a browser.
Fast and accurate: Uses advanced algorithms to scan even blurry or distorted QR codes.
Reads multiple QR codes at once: Supports scanning multiple QR codes in a single image.
Handles incomplete or damaged QR codes: Uses smart algorithms to recover missing parts of QR codes.
Customizable for different needs: Developers can fine-tune scanning settings for specific use cases.
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