To be honest, the first time I saw someone working overtime until 2 AM because of CSV to JSON conversion, I was completely baffled. Isn't this something anyone can do? Later, after chatting with a few buddies working at internet companies, I realized that it's actually not that simple.
First, let's talk about what CSV is. Simply put, it's a bunch of data separated by commas, the most common thing in Excel. JSON, on the other hand, is the most commonly used data format for front-end and back-end communication nowadays, with key-value pairs nested inside curly braces. Seems pretty simple, right? But the problem lies in the word 'seems'.
I've seen too many people handle this task in the same way: open Excel, Ctrl+A to select all, copy, then search for an online conversion tool, paste, click convert, and then... something goes wrong. Why? Because your CSV might contain commas, quotes, line breaks, or even UTF-8 encoding with a BOM header. You use a free online tool to convert it, and boom, the data is all messed up. Then you start staring at thousands of rows of data, not knowing which ones are wrong and which are right. That's when you start working overtime.
There's an even worse scenario: when the data volume is extremely large. For example, you have hundreds of thousands of user records, and the CSV file itself is several hundred megabytes. You try an online tool? They have limits and ask you to pay if it exceeds a few megabytes. You try Excel? It's hard just to open it, let alone process it. In the end, you have no choice but to write code yourself. But the problem is, not everyone knows how to code. Even those who do have to spend time debugging various edge cases, like a field that happens to contain half a quote, or a cell with a line break—these can instantly crash your script.
I have a friend who works at an e-commerce company and has to process a bunch of CSV files from suppliers every week. He told me that he used to spend most of the day on this task. Later, he learned to use some professional CSV to JSON tools, like those that support command-line operations or have visual configuration interfaces, and it became much faster. But he said the biggest pitfall isn't the tool itself; it's that many people have no idea there are so many hidden traps between CSV and JSON.
Think about it: the CSV format itself has no unified standard. Some files use commas as delimiters, some use semicolons, some use tabs. Some have headers, some don't. Some fields are wrapped in double quotes, others aren't. If you don't understand these details and just grab a tool to convert, the result is bound to be a mess. Moreover, JSON has very strict format requirements—one extra comma or a missing bracket can make the entire file unparseable. If you hand a broken JSON file to your front-end colleague, it's going to be a scene: the front-end throws errors, and you end up taking the blame.
So, I really understand those who work overtime because of this. It's not that they're stupid or not hardworking; it's that they might not have found the right approach. Actually, handling this task boils down to a few key steps: figure out what format your CSV is in, whether there are special characters, how large the data is, and then choose a reliable tool. Don't keep trying to freeload off online tools—when the data volume is large or the format is complex, those tools simply can't handle it.
My advice: if you frequently deal with such conversions, just learn to use Python or some professional open-source tools. The initial setup might take some time, but after that, it's a one-time effort, and you'll never have to work overtime for this again. If you really don't want to learn to code, then find a reliable desktop software that's feature-rich and can handle large files—stop messing around in the browser.
At the end of the day, CSV to JSON conversion itself isn't difficult; what's difficult is whether you're willing to spend time understanding the underlying mechanisms. If you use tools without a clue, then overtime is your fate. But if you spend half an hour figuring out the rules, you can finish the job in ten minutes. Don't let a simple conversion become a reason for your overtime.