JavaScript – Stringify Object to formatted JSON

There are numerous cases where we need to convert our objects to JSON using JSON.stringify and there are also several cases where we need to have the output JSON to be formatted for easy readability.

For the above-mentioned purpose JSON.stringify(…) function has support to format the output if required. It takes special arguments for this purpose.

JSON.stringify Signature

[cc lang=”javascript”]
JSON.stringify(value[, replacer[, space]])

Here we will use the space argument it controls formatting. By default, the value is null, though if you specify a value it will set the space accordingly. Possible values are:

1. Number: If you provide a number (say n) in space argument then it will indent the formatted JSON with n spaces. Hence you will receive a formatted JSON with indentation of n spaces Example:

[cc lang=”javascript”]
JSON.stringify({a:1, b:2}, null, 4); //Indent 4 spaces Output: { a: 1, b: 2 }

2.String: If the argument is a string then space will be replaced with whatever we have in the string.
Example: javascript JSON.stringify({a:1, b:2}, null, ‘ ‘); Output: { a: 1, b: 2 }
Ex 2: JSON.stringify({a:1, b:2}, null, ‘\t’); Output: { a: 1, b: 2 }
Ex 3: (any string is possible) JSON.stringify({a:1, b:2}, null, ‘BAD’); //Bad string for demo purpose Output: { BADa: 1, BADb: 2 }


Recent Post

  • A Comprehensive Guide to Sentiment Analysis Using NLP

    Businesses need to understand public interests, attitudes, behavior, and trigger points in today’s dynamic and competitive market. This enables them to efficiently serve their customers, grab opportunities, grow, and develop resilience in the face of a constantly shifting market. Many businesses find it challenging to process vast amounts of text-based data in order to get […]

  • How AI Is Revolutionizing Banking: Transforming Customer Experiences and Enhancing Financial Security

    Banking is a huge industry with a global Banking market likely to achieve a Net Interest Income of USD 10.34 trillion, with Traditional Banks holding a huge stake of USD 8.30 trillion. According to Statista’s projections suggest an annual growth rate of 4.82% (CAGR 2024-2028), culminating in a market volume of USD12.48 trillion by 2028. […]

  • Mastering Hyperparameter Tuning in Python: Strategies, Techniques, and Tools for Model Optimization

    Understanding various aspects of deep learning and machine learning can often feel like stepping into uncharted territory with no clue where to go. As you start exploring various algorithms and data, you realize that success is based on more than just building a raw model, it’s more about fine-tuning it to perfection. And when we […]

  • What is Transfer Learning? Exploring The Popular Deep Learning Approach

    Have you ever thought about how quickly your smartphone recognizes faces in photos or suggests text as you type? Behind these features, there’s a remarkable technique called Transfer Learning that expands the capabilities of Artificial Intelligence. Now you must be wondering- What is Transfer Learning ? Picture this: Instead of starting from the square from […]

  • LLMOps Essentials: A Practical Guide To Operationalizing Large Language Models

    When you engage with ChatGPT or any other Generative AI tool, you just type and enter your query and Tada!! You get your answer in seconds. Ever wondered how it happens and how it is so quick? Let’s peel back the curtain of the LLMs a bit. What actually happens behind the screen is a […]

  • Building Intelligent AI Models For Enterprise Success: Insider Strategies 

    Just picture a world where machines think and learn like us. It might sound like a scene straight out of a sci-fi movie, right? Well, guess what? We are already living in that world now. Today, data, clever algorithms, and AI models are changing the way businesses operate. AI models are serving as a brilliant […]

Click to Copy