Written by Sam Taylor — Full-Stack Developer. I debug APIs, format JSON, and hate unnecessary context-switching. More about me →
Last Tuesday I was integrating a shipping API for a client's e-commerce site. The endpoint returned a 200 OK with a 47,000-character JSON response — unindented, no line breaks, a single line of text that my terminal couldn't even fully display. Somewhere in that wall of text was a missing "street2" field that was causing the label generation to fail. I found the bug in 30 seconds by running it through a JSON beautifier.
I've been a full-stack developer for eight years, and the single biggest time-sink in my workflow isn't writing code — it's reading other people's unformatted output. Here's how I handle JSON formatting, validation, and conversion without ever leaving the browser.
This is the rule I taught every junior developer I've mentored. When an API response doesn't make sense, before you write a single line of debug code, format the JSON. An unformatted 47KB response is illegible by design. The same response with indentation reveals the structure instantly.
I used to pipe everything through python -m json.tool, which works for valid JSON but gives you a cryptic error with no line number when the JSON is broken. A good JSON formatter handles both cases: formats valid JSON and tells you exactly where invalid JSON breaks. Line 847, column 23, unexpected token — that's actionable. "Expecting property name enclosed in double quotes" with no line reference is not.
I also run everything through a JSON validator before sending it anywhere. I've caught missing commas, trailing commas (which are legal in JavaScript objects but illegal in JSON), and unescaped quotes inside strings. The worst bug I ever shipped was a JSON config file with a trailing comma that worked in every browser during development but broke the Python deployment script in production.
Here's a scenario I hit at least twice a month. The marketing team sends a CSV of product data that needs to go into the database. The database migration script expects JSON. I need to convert CSV to JSON while preserving the column headers as keys and handling empty cells correctly.
I used to write a one-off Python script for this every time. Now I use a JSON to CSV converter that runs in the browser. Paste CSV on one side, get formatted JSON on the other. No script to maintain, no dependencies to update, no risk of accidentally committing test data to the repo. For the reverse — JSON to CSV for non-technical stakeholders — the same tool handles both directions.
The real productivity gain isn't the conversion itself. It's not having to context-switch out of the problem I'm solving. When I'm debugging an API integration, every time I open a terminal and write a script, I lose five minutes of focus. The browser-based tools keep me in flow.
Written by Sam Taylor — Full-Stack Developer. I debug APIs, format JSON, and hate unnecessary context-switching. More about me →