KNOWLEDGEBASE

Generate and read QR code in Python [Fast and easy]

In this article, we will introduce the use of the barcode generator and reader API - Aspose.BarCode for Python via Java. To find out how to generate and read a QR code in Python, we’ll go through the following steps:

  1. What are QR codes
  2. How to generate QR code using Python
  3. How to read QR code in Python

What are QR codes

A QR Code (Quick Response Code) is a two-dimensional bar code. It has become one of the most-used types of two-dimensional code for its fast readability and comparatively large storage capacity. It consists of black squares arranged in a square grid on a white background. The required data is extracted from patterns that are present in both the horizontal and vertical components of the image.

The QR code is detected by a two-dimensional digital image sensor and then digitally analyzed by a programmed processor by locating three characteristic squares in the corners of the QR code image, using the smaller square in the fourth corner to normalize the size, viewing angle of the image, and orientation. The small dots in the QR code are then converted to binary numbers and verified by an algorithm for error correction.

Generate and read QR code in Python

How to generate QR code using Python

Aspose offers a Python Barcode library for recognizing or generating 1D, 2D and Postal barcodes in any Python application.
Aspose.BarCode for Python via Java is a set of barcode generation and reading APIs for Python applications by using the python-java bridge. Python via Java API generates barcode images within various formats such as JPG, PNG, BMP, and GIF. It supports multiple imaging features like manipulating colors and borders, rotating images, and a lot more.

Some of the advanced features of our API:

Code example for QR code generation:

#Instantiate barcode object
generator = Generation.BarcodeGenerator(Generation.EncodeTypes.QR, "123456789")
#Save it as PNG
generator.save("QR.png", "PNG")

How to read QR code in Python

Reading a QR code in Aspose.BarCode for Python via Java is performed according to the following steps:

Getting recognition results

To load barcode recognition outputs, we need to call the ReadBarCodes method that provides a BarCodeResult array. Also, the current recognition output can be accessed through the getFoundBarCodes. This method enables fetching decoding results or the getFoundCount method which returns the number of detected barcodes.

Barcode recognition source

There are three ways to set the barcode recognition source in Aspose.BarCode for Python: from an image file, stream, or bitmap. Image formats that are supported: JPEG, PNG, TIFF, BMP, or GIF.

Setting up target regions

It is possible to specify target areas for barcode detection by creating one or more rectangle-type objects. Setting target regions allows for improving recognition efficiency and avoiding regions without barcodes. The target areas must be accurately determined because the Aspose library applies heuristic approaches to identify the target areas of barcode detection.

You can try it for free!

Download the free trial of Aspose.Barcode for Python via Java from this link. Also, you can test the quality of Aspose.BarCode generation and see the results online.

We’re with you at every stage of your journey

The Paid Consulting team consists of experts who work together with you on your project, ensuring that our solutions have a strategic impact on your business.
We will work with you to understand your project, design a solution and implement the Aspose API according to your needs, whether you need new features in the existing Aspose product or API for new file formats.

Our team offers an effective combination of customer service expertise and product knowledge to help you achieve your goals. From strategic implementation to always-available support, at Aspose we make sure you always get the best value.

Depending on the size of your project, you can hire one or more dedicated developers for your project. We’ll work with you to implement a solution that delivers - we do the hard work so you can focus on your business.
Because together we’re better.