DEV Community: Kalaivani R

Why Your API Response Looks Fine But Is Impossible to Read

Kalaivani R — Thu, 18 Jun 2026 08:07:02 +0000

I used to think formatting JSON solved the readability problem.

Then I received an API response containing:

Users
Permissions
Roles
Settings
Analytics
Device information
Subscription data

After formatting it, the response expanded into nearly 1,000 lines.

The JSON looked beautiful.

It was also a nightmare to work with.

The Problem Nobody Mentions

Most developers talk about formatting.

Very few talk about navigation.

Formatting answers:

  Can I read this?

Navigation answers:

  Can I find what I'm looking for?

Those are very different problems.

When Formatting Stops Helping

Consider a response that contains:

{
"users": [...],
"permissions": [...],
"settings": {...},
"analytics": {...}
}

Formatting helps.

But when each section contains hundreds of nested values, the challenge changes.

You stop reading.

You start searching.

And that's where productivity disappears.

The Hidden Cost of Large JSON

Large JSON responses create several problems:

Endless scrolling
Lost context
Difficulty finding fields
Hard-to-debug API issues
Slower troubleshooting

The larger the payload becomes, the more time gets wasted simply navigating the data.

What Actually Helps

Over time, I realized that developers need more than formatting.

They need:

Validation
Search
Tree navigation
Error detection
Structure exploration

Formatting is only the first step.

Understanding the data is the real goal.

Why I Built Online JSON Tools

While working with APIs, I repeatedly encountered large payloads that were technically readable but practically difficult to use.

That's one reason I started building onlinejsontools.co.in.

The goal wasn't just to beautify JSON.

The goal was to help developers:

Format JSON
Validate JSON
Find syntax errors
Navigate large payloads
Understand structure faster

Because developers spend enough time solving business problems.

They shouldn't spend half their day scrolling through JSON.

Final Thoughts

Formatting makes JSON readable.

Understanding makes JSON useful.

And once payloads become large enough, those two things are no longer the same.

The next time you're dealing with a massive API response, ask yourself:

Is the problem really readability?

Or is it navigation?

What's the largest JSON response you've ever had to debug?

The API Was Fine. The Bug Was in My JSON.

Kalaivani R — Thu, 18 Jun 2026 07:58:20 +0000

I spent nearly an hour debugging an API integration that wasn't actually broken.

The endpoint was correct.

Authentication was working.

Headers looked fine.

The backend logs showed nothing unusual.

Everything pointed toward a server-side issue.

So I started digging deeper.

I reviewed the documentation.

Checked network requests.

Compared payloads.

Retested the endpoint multiple times.

Still no luck.

Eventually, I found the problem.

A single missing comma in my JSON payload.

That's it.

One character.

An hour gone.

Why JSON Bugs Are So Frustrating

Most coding mistakes leave clues.

A compilation error.

A stack trace.

A warning.

JSON errors are different.

Sometimes the request simply fails.

Sometimes you get a vague error message.

Sometimes the API responds with:

Bad Request

which is about as useful as saying:

Something went wrong.

The issue is that JSON is extremely strict.

Humans can understand intent.

Parsers cannot.

The Payload Looked Perfect

This was similar to what I was sending:

{
"name": "XYZ"
"email": "xyz@example.com"
}

Can you spot the issue immediately?

Most developers don't.

Especially when the payload contains hundreds of lines.

The missing comma is easy to overlook.

The parser sees invalid JSON.

The developer sees valid-looking JSON.

That's where the frustration begins.

The Real Problem

The biggest issue wasn't the missing comma.

The biggest issue was how long it took me to find it.

Formatting the JSON helped.

But formatting didn't tell me what was wrong.

Validation did.

That's an important distinction.

Formatting improves readability.

Validation identifies problems.

Many developers use one when they actually need the other.

What I Changed

After encountering this repeatedly, I changed my debugging process.

Instead of:

Blaming the API
Checking the backend
Reviewing infrastructure
Reading logs

I now do this first:

Validate JSON
Check line numbers
Check column numbers
Verify payload structure

The number of "backend issues" that turned out to be JSON issues was surprisingly high.

Why I Built Online JSON Tools

This experience was one of the reasons I started building onlinejsontools.co.in

I wanted a tool that would help developers answer:

Is my JSON valid?
Where exactly is the error?
What caused it?
How do I fix it?

Because "Invalid JSON" isn't enough information when you're trying to solve a real problem.

Final Thoughts

Whenever an API suddenly stops working, don't immediately assume the server is broken.

Don't immediately assume authentication failed.

Don't immediately assume the database is down.

Validate the payload first.

You might discover that the entire issue comes down to a single character hiding in your JSON.

And those are often the most expensive bugs because they're the easiest to miss.

What's the smallest bug that's ever wasted the most amount of your time?

I Thought Formatting JSON Solved Everything. I Was Wrong.

Kalaivani R — Mon, 15 Jun 2026 20:53:06 +0000

For a long time, I thought JSON formatting was the answer to every JSON problem.

Whenever I received a messy API response, I would paste it into a formatter and instantly feel productive.

The JSON became readable.

The indentation looked clean.

Nested objects were easier to understand.

Problem solved.

Or so I thought.

Then I received an API response that completely changed my perspective.

*The Payload That Changed My Mind
*
The response contained:

User information
Roles and permissions
Device details
Session history
Analytics data
Configuration settings
Subscription information

After formatting, the JSON expanded into hundreds of lines.

Everything looked beautiful.

Everything looked organized.

Yet I still couldn't find what I needed.

I spent more time scrolling than debugging.

That's when I realized something important:

Formatting makes JSON readable.

It doesn't make JSON navigable.

** Readability vs Navigation
**
Most developers focus on readability.

And that's understandable.

Nobody wants to debug JSON that looks like this:

{"users":[{"id":1,"name":"XYZ","role":"admin"}]}

Formatting transforms it into something humans can understand.

But once JSON becomes large enough, a new problem appears.

You stop asking:

Is this readable?

and start asking:

Where is the field I'm looking for?

Those are completely different questions.

Why Large JSON Is Different

Large payloads create unique problems.

Imagine trying to find:

One permission among hundreds
A specific configuration value
A deeply nested object
A failed API response
A single user record

Even perfectly formatted JSON can become frustrating.

At that point, formatting alone is no longer enough.

Building Online JSON Tools

While working with APIs and backend integrations, I encountered this problem repeatedly.

Most tools focused on formatting.

Very few focused on helping developers understand large JSON structures efficiently.

That's one reason I started building onlinejsontools.co.in.

The goal wasn't simply to format JSON.

The goal was to help developers:

Format JSON
Validate JSON
Find syntax errors
Detect exact line numbers
Explore large structures
Navigate complex payloads faster

Because readability is only the first step.

** The Bigger Lesson**

This experience taught me something that applies far beyond JSON.

The first solution is not always the complete solution.

Formatting solved one problem.

Navigation solved another.

Validation solved another.

Performance solved another.

The deeper I worked with JSON, the more I realized that developers need an entire workflow, not just a formatter.

Final Thoughts

I still use JSON formatting every day.

It's one of the most useful developer tools available.

But I no longer think formatting solves everything.

Sometimes the real challenge isn't making data readable.

It's making data understandable.

And those are two very different things.

What's the largest JSON payload you've ever had to debug?

Why JSON Formatting Isn't Enough for Debugging APIs

Kalaivani R — Mon, 15 Jun 2026 20:45:31 +0000

When an API request fails, most developers do the same thing.

They copy the JSON payload and paste it into a JSON formatter.

I've done it.

You've probably done it too.

For small issues, formatting helps.

But after working with APIs for years, I realized something important:

Formatting JSON and debugging JSON are two completely different things.

And confusing the two can waste a lot of time.

The Illusion of "Good Looking JSON"

Consider this example:

{
"name": "XYZ",
"email": "xyz@example.com",
}

Looks clean.

Looks organized.

Looks professional.

Yet this JSON is invalid.

The trailing comma makes the entire payload fail.

The problem isn't readability.

The problem is correctness.

That's where many debugging sessions go wrong.

Formatting Solves One Problem

A formatter makes JSON easier to read.

For example:

{"name":"XYZ","role":"Developer","active":true}

becomes:

{
"name": "XYZ",
"role": "Developer",
"active": true
}

That's useful.

Especially when dealing with API responses.

But notice what happened:

The formatter improved appearance.

It didn't verify correctness.

What Actually Breaks APIs

Most API failures I encounter come from:

Trailing commas
Missing commas
Invalid escape characters
Unclosed braces
Incorrect data types
Missing required fields

These are validation problems.

Not formatting problems.

A formatter can make invalid JSON look beautiful.

It still won't work.

A Real Example

A while ago, I was debugging an API integration.

The request payload looked perfect.

The structure matched the documentation.

The authentication token was valid.

The endpoint was correct.

Everything seemed fine.

The issue?

A single missing comma hidden inside a large payload.

The API rejected the request instantly.

The formatter didn't reveal the issue.

A validator found it immediately.

That's when I realized how much developers rely on formatting when they actually need validation.

Why I Built Online JSON Tools

While working on APIs and integrations, I repeatedly found myself switching between multiple websites:

One formatter
One validator
Another tool for minifying
Another tool for inspecting large payloads

That became the motivation behind onlinejsontools.co.in.

I wanted a place where developers could:

Format JSON
Validate JSON
Detect syntax errors
Find exact line numbers
Find exact column numbers
Understand why JSON is failing

without constantly jumping between tools.

The Better Debugging Workflow

Instead of:

Format JSON
Assume it's correct
Start debugging the backend

Try this:

Validate JSON
Fix all syntax issues
Format JSON
Verify request structure
Then investigate backend logic

You'll often discover the issue before touching server-side code.

Final Thoughts

Formatting is useful.

Validation is essential.

A formatter helps humans read JSON.

A validator helps computers understand JSON.

And when an API suddenly stops working, the difference between those two tools matters a lot more than most developers realize.

The next time a request fails, don't just format the payload.

Validate it first.

You might save yourself an hour of debugging.

What's the most frustrating JSON bug you've ever encountered?

5 JSON Errors That Break APIs (And How to Fix Them)

Kalaivani R — Sun, 14 Jun 2026 19:38:34 +0000

If you've worked with APIs long enough, you've probably experienced this situation.

You send a request.

The endpoint should work.

The payload looks correct.

The API documentation looks correct.

Your authentication is correct.

Yet the request fails.

You start checking logs.

You review headers.

You inspect the backend.

Eventually, after wasting far more time than you'd like to admit, you discover the real culprit:

A tiny JSON mistake.

The frustrating part is that most JSON errors are not complicated.

They're usually caused by a single missing character, extra character, or formatting mistake hidden somewhere in the payload.

While building onlinejsontools.co.in, I noticed the same JSON mistakes appearing repeatedly.

Here are the five most common JSON errors that break APIs and how to fix them.

## Error #1: Trailing Comma

This is probably the most common JSON error developers encounter.

Broken JSON


json id="1"
{
  "name": "XYZ",
}

Looks harmless.

But JSON does not allow trailing commas.

**Fixed JSON**

{
  "name": "XYZ"
}

**Why It Happens**

Many programming languages allow trailing commas.

Developers switch between JavaScript objects and JSON frequently.

The syntax looks almost identical.

Unfortunately, JSON is stricter.

One extra comma is enough to make the entire payload invalid.

** Error #2: Missing Comma**

The opposite problem is just as common.

**Broken JSON**

{
  "name": "XYZ"
  "age": 25
}

**Fixed JSON**

{
  "name": "XYZ",
  "age": 25
}

** Why It Happens**

When manually editing large payloads, it's easy to forget separators between properties.

The larger the JSON becomes, the harder these mistakes are to spot visually.

This is one reason validation tools that show exact line numbers are so useful.

---

**Error #3: Using Single Quotes**

Developers coming from JavaScript often make this mistake.

**Broken JSON**

{
  'name': 'XYZ'
}

**Fixed JSON**

{
  "name": "XYZ"
}

** Why It Happens**

JavaScript allows strings wrapped in single quotes.

JSON does not.

JSON requires double quotes for:

* Property names
* String values

The parser doesn't care that it "looks correct."

The syntax rules must be followed exactly.

**Error #4: Unclosed Braces or Brackets**

Large payloads often contain deeply nested structures.

Missing a closing brace becomes surprisingly easy.

**Broken JSON**

{
  "user": {
    "name": "XYZ"
}

 **Fixed JSON**

{
  "user": {
    "name": "XYZ"
  }
}

**Why It Happens**

Nested objects and arrays increase complexity.

What starts as a simple payload can quickly grow into hundreds of lines.

One missing bracket can invalidate the entire document.

Modern editors help by highlighting matching brackets, but validation remains essential.

**Error #5: Invalid Escape Characters**

This error appears frequently when working with file paths.

**Broken JSON**
{
  "path": "C:\newfolder\test"
}

**Fixed JSON**
{
  "path": "C:\\newfolder\\test"
}

**Why It Happens**

The backslash is a special escape character in JSON.

When a parser sees:

\n

it interprets it as a newline.

When it sees:

\t

it interprets it as a tab.

To include an actual backslash, it must be escaped.

**Why These Errors Are So Difficult To Spot**

What's interesting about these mistakes is that most of them look perfectly reasonable.

Humans read JSON differently than parsers do.

A developer sees:

{
  "name": "XYZ",
}

and immediately understands the structure.

The parser sees:

Unexpected token

and refuses to continue.

Computers don't care about intent.

They care about syntax.

That's why even a single misplaced character can break an otherwise correct API request.

**What I Learned While Building Online JSON Tools**

While developing [onlinejsontools.co.in](url), I discovered that developers rarely struggle with understanding JSON.

The real challenge is identifying exactly where something went wrong.

That's why I focused on features such as:

1. JSON formatting
2. JSON validation
3. Exact line detection
4. Exact column detection
5. Human-readable error messages
6. Suggested fixes

The goal wasn't just to tell users that their JSON is invalid.

The goal was to explain why.

Because "Invalid JSON" is rarely enough information when you're trying to debug a production issue.

**Final Thoughts**

The next time an API suddenly stops working, don't immediately assume the backend is broken.

Don't assume the database is down.

Don't assume authentication failed.

Start by validating the JSON.

You might discover that the entire problem comes down to:

1. One missing comma
2. One extra comma
3. One missing quote
4. One missing bracket
5. One incorrectly escaped character

Tiny mistakes.

Massive headaches.

And usually far easier to fix than we expect.

**Have you ever spent an hour debugging an API issue only to discover it was a single character inside your JSON?**

The Day I Stopped Scrolling Through 1,000 Lines of JSON

Kalaivani R — Sun, 14 Jun 2026 19:26:04 +0000

I thought formatting JSON solved everything.

Whenever I received an API response, I would paste it into a formatter and instantly make it readable.

For small responses, that worked perfectly.

Then one day I received a huge API response containing user data, permissions, subscriptions, devices, settings, and analytics information.

The response expanded into hundreds of lines after formatting.

That's when I realized something important:

Readability and navigation are not the same thing.

The JSON was perfectly formatted.

I could read every field.

But finding a specific value still meant scrolling endlessly through hundreds of lines.

Formatting Helps — But Only Up To A Point

A formatter transforms unreadable JSON into structured data.

Instead of one giant line, objects and arrays become easy to identify.

Nested structures become visible.

Relationships between fields become clearer.

For most responses, this is enough.

But once JSON becomes large, a new problem appears.

You stop asking:

"Is this readable?"

and start asking:

"Where is the field I'm looking for?"

That's a completely different challenge.

The Problem Nobody Talks About

Imagine searching for:

A specific user ID
One permission inside a list of 200 permissions
A deeply nested configuration value
A failed API response hidden inside a large payload

Even perfectly formatted JSON can become difficult to navigate.

The larger the response becomes, the more time gets wasted scrolling.

Developers often blame the data.

The real problem is usually the tool.

*Why I Started Building Online JSON Tools
*
While working with APIs and backend integrations, I kept running into the same issue.

Most online JSON formatters did one thing well:

They formatted JSON.

But they didn't help much after that.

I wanted something more useful.

That's why I started building Online JSON Tools at onlinejsontools.co.in.

The goal wasn't just another JSON formatter.

The goal was to create a workspace where developers could:

Format JSON
Validate JSON
Detect syntax errors
Find exact line and column numbers
Minify JSON
Explore JSON structures more efficiently

Instead of jumping between multiple websites, everything could be done in a single place.

The Next Challenge: Navigation

After formatting and validation, the next problem becomes navigation.

That's where features like JSON Tree Viewers become valuable.

A tree view allows developers to:

Expand and collapse sections
Explore nested objects
Focus on specific branches
Understand structure faster

Instead of scrolling through hundreds of lines, you navigate the data logically.

For large API responses, that's a huge difference.

What I Learned

Building developer tools taught me something simple:

The first problem is rarely the real problem.

I thought developers needed better JSON formatting.

What they actually needed was a better way to understand and navigate JSON.

Formatting solved readability.

Navigation solved productivity.

They're related, but they're not the same thing.

Final Thoughts

Formatting JSON is often the first step.

But for large payloads, it's rarely the last step.

As APIs become more complex and responses grow larger, navigation becomes just as important as formatting.

That's one of the ideas behind onlinejsontools.co.in—helping developers spend less time fighting JSON and more time building software.

Have you ever received a JSON response so large that formatting it wasn't enough?

Why Does This JSON Look Correct but Still Fail? (Most Developers Miss This)

Kalaivani R — Thu, 11 Jun 2026 20:45:11 +0000

Take a look at this JSON:

{
"name": "XYZ",
}

Can you spot the problem in 3 seconds?

Most developers don't.

At first glance, it looks perfectly fine. The brackets are there. The key is quoted. The value is quoted. The indentation looks clean.

Yet if you send this JSON to an API, parse it in JavaScript, or load it into most applications, it will fail immediately.

The culprit?

A single trailing comma.

{
"name": "XYZ"
}

This tiny difference is enough to make valid JSON become invalid JSON.

The Mistake Many Developers Make

When JSON fails, the first thing many developers do is open a JSON formatter.

The assumption is:

"If I format it, I'll find the problem."

Sometimes that works.

Most of the time, it doesn't.

Because a formatter and a validator solve completely different problems.

What a Formatter Actually Does

A JSON formatter only changes how JSON looks.

For example:

{"name":"XYZ","age":25,"city":"Chennai"}

can become:

{
"name": "XYZ",
"age": 25,
"city": "Chennai"
}

The data stays exactly the same.

The formatter simply makes it easier for humans to read.

That's all.

What a Validator Actually Does

A validator checks whether JSON follows the official JSON specification.

It looks for problems such as:

Missing commas
Trailing commas
Unclosed braces
Unclosed brackets
Invalid escape characters
Single quotes instead of double quotes
Missing quotation marks

A validator doesn't care whether your JSON is pretty.

It cares whether your JSON is correct.

Here's Where Developers Get Tricked

Consider these two examples.

Example 1
{"name":"XYZ","age":25}

Looks ugly.

But it's valid JSON.

Example 2
{
"name": "XYZ",
"age": 25,
}

Looks clean.

Looks professional.

Looks easier to read.

But it's invalid.

This is why formatting and validation are not the same thing.

A beautiful JSON document can still be broken.

Real-World Example

Imagine receiving a 2,000-line API response.

Everything appears properly indented.

Everything looks organized.

But somewhere deep inside the payload, one comma is missing.

Your formatter won't help.

Your validator will.

A good validator should tell you:

Exact line number
Exact column number
Error type
Suggested fix

Instead of forcing you to manually search through thousands of lines.

Why I Built Online JSON Tools

While working with APIs and backend integrations, I repeatedly ran into situations where JSON looked correct but wasn't actually valid.

TRY THIS :

Online JSON Formatter | Format, Validate & Beautify JSON

Format, validate, beautify, repair, compare, and convert JSON instantly with fast browser-based developer tools.

onlinejsontools.co.in

Many tools would simply display:

Invalid JSON

That's not very helpful.

I wanted a tool that could explain what was wrong and where the problem existed.

That's one reason I built Online JSON Tools.

The goal was to combine formatting and validation in a single workspace so developers can quickly identify issues without jumping between multiple tools.

The Takeaway

Here's a simple rule:

If JSON is hard to read, use a formatter.

If JSON won't parse, use a validator.

A formatter improves readability.

A validator ensures correctness.

And if your JSON "looks fine" but still fails, there's a good chance you're dealing with a validation problem rather than a formatting problem.

Sometimes the difference between working JSON and broken JSON is just a single character hiding in plain sight.

What's the longest time you've spent debugging a JSON error that turned out to be something ridiculously small?

Why I Built Online JSON Tools Instead of Another AI App

Kalaivani R — Thu, 11 Jun 2026 20:32:22 +0000

Everyone seems to be building AI products right now.

Open LinkedIn, Product Hunt, or Twitter, and you'll find hundreds of new AI tools launching every week. Most of them are built on top of existing AI models and compete in an increasingly crowded market.

When I started looking for my next side project, I asked myself a simple question:

Should I build another AI app, or should I solve a real problem that developers face every day?

I chose the second option.

That's how Online JSON Tools was born.

TRY THIS

Online JSON Formatter | Format, Validate & Beautify JSON

Format, validate, beautify, repair, compare, and convert JSON instantly with fast browser-based developer tools.

onlinejsontools.co.in

As a backend developer, I work with JSON constantly. API requests, API responses, configuration files, third-party integrations, log files, and microservices all rely heavily on JSON. On some days, I spend more time reading JSON than writing actual business logic.

Despite that, many online JSON tools felt outdated, cluttered, or incomplete.

Some had intrusive ads everywhere.

Some had poor dark mode support.

Some simply showed "Invalid JSON" without explaining what was actually wrong.

Others struggled with larger files or provided a poor editing experience.

I wanted something better.

So instead of building another AI wrapper, I decided to build a tool that developers could genuinely use every day.

The Goal

The goal was simple:

Create a fast, developer-focused JSON utility platform that prioritizes usability, performance, and clarity.

No unnecessary features.

No complicated setup.

No server dependency for basic operations.

Just a tool that helps developers work with JSON faster.

What the Tool Does

Currently, Online JSON Tools focuses on the most common JSON workflows:

Beautifying JSON
Minifying JSON
Validating JSON
Identifying syntax errors
Showing line and column information
Copying formatted output
Downloading processed JSON
Supporting dark mode for long development sessions

Everything happens directly in the browser.

Your JSON never needs to leave your machine for basic formatting and validation tasks.

One Problem I Wanted to Fix

Most validators stop at:

Invalid JSON

That message is technically correct.

But it doesn't help much.

Imagine opening a 500-line JSON document and being told only that it's invalid.

Now you have to search through the entire file trying to locate the issue yourself.

Instead, I wanted the validator to provide useful feedback:

Which line contains the error
Which column contains the error
What caused the problem
A suggested fix

Something as simple as a trailing comma can waste several minutes when you're dealing with large payloads.

Good tooling should reduce that friction.

Why Not Build an AI Product?

This was probably the biggest decision.

AI products are attractive because they are trending.

But trends change quickly.

Utility tools solve recurring problems.

Developers were formatting JSON ten years ago.

Developers are formatting JSON today.

Developers will probably still be formatting JSON ten years from now.

That makes the problem far more stable than chasing whatever technology trend happens to be popular this month.

I wanted to build something with long-term value rather than short-term hype.

Technical Decisions

I kept the initial architecture intentionally simple.

The platform is built using:

Next.js
TypeScript
Tailwind CSS
Monaco Editor

The first version is frontend-only.

That decision offers several advantages:

Faster deployment
Lower hosting costs
Better performance
Easier maintenance
No backend infrastructure

Since formatting and validation can happen entirely in the browser, there was no reason to introduce unnecessary complexity.

Sometimes the best architecture is the simplest one that solves the problem effectively.

Challenges During Development

What looked like a simple weekend project quickly became more complicated.

A JSON formatter sounds easy.

Paste JSON.

Call JSON.parse().

Display the result.

Done.

Reality was different.

I spent significant time improving the editing experience, handling validation errors properly, refining the interface, and making sure the tool behaved the way developers expect.

One of the most interesting challenges was making validation feedback useful instead of generic.

Another was ensuring the editor experience felt smooth and professional.

The goal wasn't just functionality.

The goal was usability.

What I Learned

Building developer tools taught me something important:

You don't need a revolutionary idea to create a useful product.

You don't need AI.

You don't need blockchain.

You don't need a complex SaaS platform.

Sometimes solving a small, annoying problem well is enough.

Developers appreciate tools that save time.

Even if that time savings is only a few minutes per day.

Those minutes add up.

What's Next?

Online JSON Tools is still growing.

Future improvements include:

JSON Diff Tool
JSON Tree Viewer
JSON Repair
JSON Escape and Unescape
Additional developer utilities

The vision is to create a practical toolkit that developers can rely on whenever they need to inspect, validate, transform, or analyze JSON.

Final Thoughts

Building another AI application would have been the obvious choice.

Building a JSON utility platform was the less exciting option.

But it was also the more practical one.

I developed Online JSON Tools because I wanted a faster and more developer-friendly way to work with JSON. Sometimes the best projects aren't the ones that follow the latest trend. They're the ones that solve a problem people already have.

If you're a developer, what JSON-related task do you find yourself doing most often?