Data Tools

Morse code, ASCII art, and more. — 7 tools available, all free.

When do you need a Data tool?

Data tools are for the moments when raw information is unreadable or in the wrong format. You receive a minified JSON blob from an API response and need to understand its structure — the JSON Formatter pretty-prints and validates it in a click. You're writing a SQL migration and want it readable before sharing it with the team — the SQL Formatter handles indentation automatically.

Data format conversion is another constant need: YAML configuration files need to be checked against JSON, Unix timestamps appear in logs and need to be converted to readable dates, and legacy XML feeds still need to be parsed and formatted. ToolsPack's data category covers all these workflows without requiring a local install or a Python script.

See our blog post on JSON vs YAML: When to Use Which for a deeper look at choosing the right data format for your project.