Data Tools — Free Online Tools
Data format converters (CSV, JSON, XML, Excel, YAML) are being rebuilt for larger files and better previews. Code Tools already handle JSON tasks today.
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CSV/JSON/Excel converters — coming back better.
A practical guide to data tools on DailyTool
In short: Data format converters (CSV, JSON, XML, Excel, YAML) are being rebuilt for larger files and better previews. Code Tools already handle JSON tasks today.
Straight talk: the old converters choked on real files — a 5MB CSV with Hindi text or quoted commas would break them. So I pulled them down instead of leaving broken tools up. They're being rebuilt with proper parsing, encoding detection, and previews.
If you need JSON work right now, the Code Tools section already formats, validates, and converts JSON reliably. For CSV/JSON on small clean files, that covers most daily needs until this section relaunches.
Who are these data tools for?
Everyday jobs these tools handle well
Analysts
CSV/JSON for sheets, reports, and dashboard imports (relaunching).
Developers
JSON/YAML, XML handling — Code Tools covers JSON today.
Ops & data entry
Excel/JSON without installing Office macros.
How to get it right the first time
3 simple steps
For JSON today, use Code Tools
JSON Formatter validates and pretty-prints; YAML/CSV helpers there handle small conversions now.
Check encoding before converting
If Hindi text shows as question marks, the file is likely ANSI not UTF-8. Re-save as UTF-8 in Notepad/VS Code first — fixes 90% of garbled text.
Preview before downloading
New tools will show first 20 rows. Never convert blind — one wrong delimiter ruins 10,000 rows.
Real situations where this helps
Taken from jobs people actually do
Shop sales CSV to JSON for a dashboard
Once relaunched: upload CSV, detect comma delimiter, preview, download JSON. Commas inside quoted names stay intact via proper quoting.
API JSON to Excel for accounts
Flatten nested orders (customer name becomes its own column) so Excel opens it cleanly, one row per order.
Hindi names turning into question marks
Classic encoding issue. Open CSV in VS Code, Save with Encoding as UTF-8, then convert. Names survive.
Mistakes people make (so you don't have to)
Quick things worth knowing before you start
Opening CSV in Excel and re-saving directly
Excel silently changes dates and drops leading zeros. Convert first, open the result — don't round-trip.
Splitting CSV by comma in code
Breaks on quoted commas. Always use a real parser (that's what the rebuilt tools use).
Ignoring the header row
One typo in headers breaks every import downstream. Fix headers before converting.
Frequently Asked Questions
Questions people actually ask about data tools