Why use FormatPress?
Formatting, validation, and conversion run entirely in your browser — paste sensitive configuration without sending it anywhere.
Config files often contain credentials
Database connection strings, API keys, and environment variables routinely appear in the files developers need to format and validate. Many online formatters process data server-side, meaning your content passes through infrastructure you don't control. FormatPress has no server component — nothing you paste leaves the tab.
Validation that shows you where and why
A generic "invalid JSON" message tells you almost nothing. FormatPress highlights the exact line and character where parsing fails and explains what the parser expected to find there. Seeing the error in context is almost always faster than scanning raw text for a missing comma or mismatched bracket.
Format conversion without multiple tools
Converting YAML to JSON for an API, or SQL to CSV for a spreadsheet, normally means three different tools and several copy-paste operations. FormatPress handles the full set from one pane. The format you paste in is detected automatically — you don't need to tell it what you're pasting.
JSONPath queries on your actual data
Paste a large API response and query it directly rather than scrolling through nested arrays. JSONPath is to JSON what XPath is to XML — a query language that lets you extract specific values by their path in the structure, so you can find exactly what you need without eyeballing hundreds of lines.
JSON formatting, validation, and queries
JSON's strict syntax — quoted keys, no trailing commas, no comments — means a single typo in a minified API response produces a parse error that can be hard to spot by eye. FormatPress pretty-prints raw JSON with consistent indentation, highlights the exact location of syntax errors, and lets you run JSONPath queries (like $.store.book[*].author) to extract specific values from deeply nested structures without writing JavaScript. Paste in a minified payload, expand it to readable form, and drill into any node. The minify pass round-trips cleanly — useful for verifying that formatting changes did not alter data before committing a config file.
XML, YAML, TOML: when config format matters
XML's verbosity makes it the format most likely to arrive as an unreadable wall of text — SOAP envelopes, Android manifests, Maven POM files, and RSS feeds all arrive this way. YAML's whitespace-sensitive syntax is easy to write but easy to break silently: one wrong indent level changes a string into a nested object, and the infamous Norway problem turns the bare string NO into boolean false. TOML is stricter and more explicit, the standard for Rust projects (Cargo.toml) and Python packaging (pyproject.toml). FormatPress validates and formats all three, catching the edge cases that slip past a quick visual scan.
Format conversion between systems
Real systems speak different languages. A legacy service emits XML; your application expects JSON. A CI pipeline config is in YAML; a tool you are integrating reads TOML. FormatPress converts bidirectionally between JSON, XML, YAML, and TOML in a single click, preserving structure and data types where the target format supports them. CSV conversion round-trips tabular data cleanly with configurable delimiters. SQL formatting applies consistent keyword casing and indentation to dense stored procedures, making a three-hundred-line query readable without opening a dedicated database IDE.
Schema validation and minification
Beyond formatting, FormatPress validates JSON against a JSON Schema draft, reporting exactly which fields fail and why — catching required field omissions, wrong types, and pattern violations before data reaches a downstream service. The minify function strips all whitespace and is safe for production payloads: the output is always valid and round-trips correctly. Both features run entirely in the browser; paste API keys, tokens, or private configuration and format or validate without leaving the page.
JSON: the data format that everything uses now
If you’ve ever looked at an API response and seen a jumble of braces, brackets, and quoted keys all on one line, that’s JSON — compressed to save space in transit. It’s perfectly valid, but impossible to read. FormatPress adds proper indentation and spacing so the structure becomes obvious. More importantly, it catches the syntax errors that turn a 5-minute debugging session into a 2-hour one: a missing comma, an extra brace, a key that wasn’t quoted. It also lets you drill into deeply nested data by asking questions like “give me all the email addresses in this response” without writing any code.
The other data formats you’ll encounter in the wild
XML shows up in older APIs and Android config files. It’s verbose — wrapping every value in opening and closing tags — which makes it unreadable when compressed. YAML is popular for configuration files like GitHub Actions and Docker Compose and is easier to write, but it has invisible traps: one wrong indentation level and your config means something completely different. TOML is stricter and is what Rust and modern Python projects use. FormatPress validates and tidies all of these, catching the subtle mistakes that look fine to the eye but break things at runtime.
Converting between formats when systems don’t speak the same language
Different systems use different data formats, and getting them to talk to each other often means converting data. An older service might give you XML; your code expects JSON. A CI config is in YAML; a tool you’re adding only reads TOML. FormatPress converts between these with one click. It also formats SQL queries — useful when a stored procedure arrives as one dense wall of text and you need to read what it actually does.
Checking that data matches what you expected
JSON Schema is a way to describe the shape of data: “this field is required, it must be a number, it must be between 0 and 100.” FormatPress can validate any JSON against a schema and tell you exactly which fields are wrong and why — the kind of check that catches a bug before it reaches your database. Minification does the opposite of formatting: it removes all whitespace to produce the compressed version that’s faster to transmit, while guaranteeing the data stays structurally intact.