Error Handling Try-Catch in Kotlin

Kotlin Try Catch Statement

Kotlin Try Catch is used to handle the code that could throw an exception at run-time. Enclose the block of code, that could throw an exception, in try block, and handle the exceptions using catch clauses that follow try block.

If an exception thrown at run-time is not handled, it could terminate the program. So, learning how to handle exceptions is a must learn concept.

Error handling is an essential part of software development. As developers, we need to anticipate and gracefully handle errors and exceptions that may occur during the execution of our programs.

In Kotlin, one of the most common ways to handle exceptions is by using the try-catch block. In this article, we will explore the fundamentals of error handling in Kotlin and delve into some practical examples.

Understanding Exception Handling in Kotlin

In Kotlin, exceptions are objects that represent an abnormal program state or error condition. When an error occurs, an exception is thrown, and the normal flow of program execution is disrupted.

To handle these exceptions, we use the try-catch block, which allows us to catch and respond to specific exceptions gracefully.

The Try-Catch Block

The try-catch block is a control structure that consists of two parts: the try block and one or more catch blocks. Here’s a basic syntax of a try-catch block in Kotlin:

try {
    // Code that may throw an exception
} catch (e: ExceptionType) {
    // Code to handle the exception
  • The try block contains the code that might throw an exception.
  • The catch block specifies the type of exception it can handle and provides the code to handle the exception when it occurs.

Handling Exceptions in Kotlin

Let’s look at some practical examples of how to use try-catch blocks in Kotlin.

Example 1: Handling ArithmeticException

fun divide(a: Int, b: Int): Int {
    return try {
        a / b
    } catch (e: ArithmeticException) {
        -1 // Handle the division by zero case

fun main() {
    val result = divide(10, 0)
    if (result == -1) {
        println("Division by zero error!")
    } else {
        println("Result: $result")

In this example, the divide function attempts to divide two integers. If a division by zero occurs, it throws an ArithmeticException. We catch this exception in the try-catch block and return -1 as a signal of the error. In the main function, we check the result and handle the error accordingly.

Example 2: Handling Multiple Exceptions

fun parseInteger(input: String): Int {
    return try {
    } catch (e: NumberFormatException) {
        println("Invalid integer format: $input")
    } catch (e: Exception) {
        println("An unexpected error occurred: ${e.message}")

fun main() {
    val userInput = "abc"
    val result = parseInteger(userInput)
    if (result != -1) {
        println("Parsed integer: $result")

In this example, the parseInteger function attempts to parse a string as an integer. It can throw a NumberFormatException if the input is not a valid integer. We catch this specific exception and provide a user-friendly error message. If any other unexpected exception occurs, we catch it with a generic Exception catch block.


Error handling is a critical aspect of writing robust and reliable software. In Kotlin, the try-catch block provides a powerful mechanism to gracefully handle exceptions and respond to errors in a controlled manner. By understanding and using try-catch effectively, you can enhance the quality and reliability of your Kotlin applications.

In this article, we covered the basics of error handling in Kotlin, including the try-catch block syntax and practical examples. With this knowledge, you are better equipped to handle exceptions and create more resilient Kotlin code.

Remember that effective error handling is just one aspect of writing high-quality code. It’s essential to combine it with proper testing, debugging, and code review practices to ensure your software meets the highest standards of quality and reliability.

Start implementing error handling with try-catch blocks in your Kotlin projects today, and you’ll be well on your way to building more robust and resilient software.

Happy coding!

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