Characters: 0 | Words: 0

Naming Conventions Explained

As developers, our goal is to create code that is easy to read, maintain, and consistent, ensuring its longevity over time.

This can be achieved by focusing on clean code practices, where one of the key and foundational elements is the naming conventions we use.

Here’s an overview of naming conventions commonly found in programming languages, with Pascal Case, Camel Case, Snake Case, and Kebab Case being the most popular and widely adopted.

🐫

Camel Case

Camel Case joins words without spaces, with the first word lowercase and subsequent words capitalized (e.g., myVariableName).

Key Characteristics:

  • First word lowercase
  • Subsequent words capitalized
  • No separators

Pros:

  • Readable and compact
  • Widely used in programming (e.g., JavaScript, Java)

Cons:

  • Harder to read for long names
  • Not suitable for URLs or file names (case sensitivity issues)
🐍

Snake Case

Snake Case uses lowercase words separated by underscores (e.g., my_variable_name).

Key Characteristics:

  • All lowercase
  • Underscores as separators

Pros:

  • Highly readable
  • Common in Python and Ruby
  • Works well in file names and URLs

Cons:

  • Takes more space due to underscores
  • Less common in some modern languages
🍡

Kebab Case

Kebab Case uses lowercase words separated by hyphens (e.g., my-variable-name).

Key Characteristics:

  • All lowercase
  • Hyphens as separators

Pros:

  • Very readable
  • Standard for URLs and CSS class names
  • Works in case-sensitive environments

Cons:

  • Not allowed in some programming languages (e.g., JavaScript variables)
  • Takes more space
📖

Pascal Case

Pascal Case joins words without spaces, with each word capitalized (e.g., MyVariableName).

Key Characteristics:

  • Each word capitalized
  • No separators

Pros:

  • Clear and readable
  • Common in class names (e.g., Java, C#)
  • Good for distinguishing types

Cons:

  • Less readable for long names
  • Not ideal for URLs or file names
🚂

Train Case

Train Case capitalizes each word and separates them with hyphens (e.g., My-Variable-Name).

Key Characteristics:

  • Each word capitalized
  • Hyphens as separators

Pros:

  • Readable
  • Used in HTTP headers and some frameworks
  • Good for formal naming

Cons:

  • Not widely used in programming variables
  • Can be verbose
🐍❗

Screaming Snake Case

Screaming Snake Case uses uppercase words separated by underscores (e.g., MY_VARIABLE_NAME).

Key Characteristics:

  • All uppercase
  • Underscores as separators

Pros:

  • Stands out for constants (e.g., in C, Python)
  • Very clear for global or constant values

Cons:

  • Less readable for long names
  • Can feel 'shouty' and less modern
Characters: 0 | Words: 0

Select the language before uploading the image

Processing image...

Image to Text Explained

Extract text from images, WhatsApp statuses, Instagram stories, Twitter feeds, Pinterest pins, or screenshots (e.g., PDF, Word) of your class notes. Even if you struggle to decipher a friend's handwritten notes, this tool can handle it for you.

Best of all, convert images to text online without worrying about the file format—support includes .JPG, .JPEG, .JPE, .JIF, .PNG, .TIFF, and more.

How does the Image to Text Converter work?

Converting text from images is simple, even if you're unfamiliar with the process. Just follow these steps:

  • Upload your image or drag and drop it into the tool.
  • Alternatively, provide a URL if you have an image link.
  • Click the Convert button to process the image.
  • Copy the extracted text to your clipboard or save it as a document.

Features of Image to Text Converter

💰

Free to Use

Extracting text from images is completely free. No cost is required to pull captions from your favorite photos, and registration is not needed. Feel free to use the tool and go whenever you like.

🤖

AI-Based Extraction

Our team has diligently developed a high-quality solution. This tool leverages Tesseract-OCR, an open-source software from Hewlett-Packard, supported by Google, to deliver AI-powered text extraction with 100% accuracy.

🌐

Multiple Languages Support

This tool supports a wide range of languages, allowing text extraction in English, Spanish, Russian, Dutch, Italian, Portuguese, Indonesian, German, French, Korean, Danish, Czech, Swedish, Polish, Romanian, Thai, Vietnamese, Turkish, Japanese, Chinese, Georgian, Finnish, and Arabic.

📥

Download Text File

Once text is extracted, download it as a text file for easy editing. You can also copy it to your clipboard for use in other documents.

🖼️

Multiple Image Formats

This tool handles numerous image formats, so you don’t need to worry about extensions. Supported formats include JPG, JPEG, JPE, JFIF, JIF, JFI, BMP, PNG, and TIFF, with ongoing efforts to add more.

Characters: 0 | Words: 0