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Generate Barcodes Using Python. A tutorial on the process of creating… | by Misha Sv | Jun, 2022

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A tutorial on the process of creating barcodes for your various needs

Photo by Mike Walter on Unsplash

Table of Contents

  • Introduction
  • Supported formats
  • Create a barcode using Python
  • Conclusion

In this tutorial you will learn about different types of barcodes, the data they store, and how to generate them using Python.

In today’s world of retail and ecommerce, barcodes became a requirement when it comes to POS and warehousing systems. Knowing how to work with them, generate, and decode them, will help data scientists and data engineers optimize sales and logistics processes.

Barcodes are one of the ways of representing data in a machine-readable format.

The concept of a barcode was originally developed in 1951 and was based on Morse code. The barcode format with vertical lines that we see everywhere now was developed in 1973.

The barcode success story began many years later when they started being used in the stores’ checkout systems to help cashiers automate getting the information for each product rather thank looking it up one by one.

Barcodes are the predecessor of QR codes, where the main differences between the two are the format and the amount the data it can store.

Barcodes appear as rectangles with several vertical lines in it, whereas QR codes appear as squares with varying shapes inside of it. This level of complexity allows QR codes to store significantly more data than barcodes.

Now that we know what barcodes are and how they can be used, let’s dive into the details of barcode formats and actually creating our first barcode using Python.

To continue following this tutorial we will need the following Python library: python-barcode.

If you don’t have it installed, please open “Command Prompt” (on Windows) and install it using the following code:

pip install python-barcode

The python-barcode library supports several barcode formats:

  • Code 39
    It includes uppercase letters, numeric digits, and some special characters. It can be of variable length up to the size of the barcode.
  • Code 128
    It includes uppercase letters, lowercase letters, numeric digits, and some special characters. It can be of variable length up to the size of the barcode.
  • PZN7
    It is a variant of Code 39 which encodes 6 digits + 1 check digit. This type of barcode is mostly used for pharmaceutical products in Germany.
  • EAN-13
    It includes 12 digits + 1 check digit and is used to encode GTIN-13 (global trade item number) used mainly outside of North America.
  • EAN-8
    It includes 7 digits + 1 check digit and is used to encode GTIN-8 (global trade item number) used mainly outside of North America.
  • JAN
    JAN (Japanese Article Numbering) is a variant of EAN-13 where the first two digits must be 45 or 49 (Japan).
  • ISBN-13
    ISBN-13 (International Standard Book Number) is similar to EAN-13 with a special prefix.
  • ISBN-10
    ISBN-10 (International Standard Book Number) is a subtype of ISBN-13 which was use up to 31/12/2005.
  • ISSN
    ISSN (International Standard Serial Number) uses an 8 digit code to uniquely identify publications, magazines, and more.
  • UPC-A
    UPC-A is a standard version of UPC (Universal Product Code) which consists of 12 digits.
  • EAN-14
    It includes 14 digits and is used to encode GTIN-14 (global trade item number) used for traded goods.
  • GS1–128
    It is a variant of Code 128 and is used for goods in commerce and industry. This type of barcode can include more than one data field.

There are a few more formats supported by the library. To check the complete list of supported formats using Python, you can run the following code:

And you should get:

['codabar', 'code128', 'code39', 'ean', 'ean13', 'ean13-guard', 'ean14', 'ean8', 'ean8-guard', 'gs1', 'gs1_128', 'gtin', 'isbn', 'isbn10', 'isbn13', 'issn', 'itf', 'jan', 'nw-7', 'pzn', 'upc', 'upca']

In this section we will create a barcode using Python.

As an example, we use a UPC-A associated with the Coca-Cola can (12 oz.): 049000042511.

You can see this barcode on some of the Coca-Cola cans sold in stores.

To get started let’s import the required dependencies:

Next, we will define the barcode content, in our case the UPC number which must be in a string format:

Since we are going to create a UPC barcode, the appropriate barcode format needs to be referenced:

And now we can create the barcode and render it as a PNG file:

You should see the generated_barcode.png appearing in the same directory as your main.py file which should be this barcode image:

Image by Author

Complete code for creating barcode using Python:

In this article we explored how to generate barcode using Python.

The amount of data currently transferred by any retail organization is millions of rows having information for each item they have in stock. Knowing how to generate barcodes and QR codes is a significant advantage is implementing automation systems and improving logistics processes for many retail and ecommerce businesses.

Feel free to leave comments below if you have any questions or have suggestions for some edits and check out more of my Python Programming tutorials.


A tutorial on the process of creating barcodes for your various needs

Photo by Mike Walter on Unsplash

Table of Contents

  • Introduction
  • Supported formats
  • Create a barcode using Python
  • Conclusion

In this tutorial you will learn about different types of barcodes, the data they store, and how to generate them using Python.

In today’s world of retail and ecommerce, barcodes became a requirement when it comes to POS and warehousing systems. Knowing how to work with them, generate, and decode them, will help data scientists and data engineers optimize sales and logistics processes.

Barcodes are one of the ways of representing data in a machine-readable format.

The concept of a barcode was originally developed in 1951 and was based on Morse code. The barcode format with vertical lines that we see everywhere now was developed in 1973.

The barcode success story began many years later when they started being used in the stores’ checkout systems to help cashiers automate getting the information for each product rather thank looking it up one by one.

Barcodes are the predecessor of QR codes, where the main differences between the two are the format and the amount the data it can store.

Barcodes appear as rectangles with several vertical lines in it, whereas QR codes appear as squares with varying shapes inside of it. This level of complexity allows QR codes to store significantly more data than barcodes.

Now that we know what barcodes are and how they can be used, let’s dive into the details of barcode formats and actually creating our first barcode using Python.

To continue following this tutorial we will need the following Python library: python-barcode.

If you don’t have it installed, please open “Command Prompt” (on Windows) and install it using the following code:

pip install python-barcode

The python-barcode library supports several barcode formats:

  • Code 39
    It includes uppercase letters, numeric digits, and some special characters. It can be of variable length up to the size of the barcode.
  • Code 128
    It includes uppercase letters, lowercase letters, numeric digits, and some special characters. It can be of variable length up to the size of the barcode.
  • PZN7
    It is a variant of Code 39 which encodes 6 digits + 1 check digit. This type of barcode is mostly used for pharmaceutical products in Germany.
  • EAN-13
    It includes 12 digits + 1 check digit and is used to encode GTIN-13 (global trade item number) used mainly outside of North America.
  • EAN-8
    It includes 7 digits + 1 check digit and is used to encode GTIN-8 (global trade item number) used mainly outside of North America.
  • JAN
    JAN (Japanese Article Numbering) is a variant of EAN-13 where the first two digits must be 45 or 49 (Japan).
  • ISBN-13
    ISBN-13 (International Standard Book Number) is similar to EAN-13 with a special prefix.
  • ISBN-10
    ISBN-10 (International Standard Book Number) is a subtype of ISBN-13 which was use up to 31/12/2005.
  • ISSN
    ISSN (International Standard Serial Number) uses an 8 digit code to uniquely identify publications, magazines, and more.
  • UPC-A
    UPC-A is a standard version of UPC (Universal Product Code) which consists of 12 digits.
  • EAN-14
    It includes 14 digits and is used to encode GTIN-14 (global trade item number) used for traded goods.
  • GS1–128
    It is a variant of Code 128 and is used for goods in commerce and industry. This type of barcode can include more than one data field.

There are a few more formats supported by the library. To check the complete list of supported formats using Python, you can run the following code:

And you should get:

['codabar', 'code128', 'code39', 'ean', 'ean13', 'ean13-guard', 'ean14', 'ean8', 'ean8-guard', 'gs1', 'gs1_128', 'gtin', 'isbn', 'isbn10', 'isbn13', 'issn', 'itf', 'jan', 'nw-7', 'pzn', 'upc', 'upca']

In this section we will create a barcode using Python.

As an example, we use a UPC-A associated with the Coca-Cola can (12 oz.): 049000042511.

You can see this barcode on some of the Coca-Cola cans sold in stores.

To get started let’s import the required dependencies:

Next, we will define the barcode content, in our case the UPC number which must be in a string format:

Since we are going to create a UPC barcode, the appropriate barcode format needs to be referenced:

And now we can create the barcode and render it as a PNG file:

You should see the generated_barcode.png appearing in the same directory as your main.py file which should be this barcode image:

Image by Author

Complete code for creating barcode using Python:

In this article we explored how to generate barcode using Python.

The amount of data currently transferred by any retail organization is millions of rows having information for each item they have in stock. Knowing how to generate barcodes and QR codes is a significant advantage is implementing automation systems and improving logistics processes for many retail and ecommerce businesses.

Feel free to leave comments below if you have any questions or have suggestions for some edits and check out more of my Python Programming tutorials.

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