Is my JSON uploaded anywhere?

No. The site is a static export with no backend, and no request carrying your input is ever made. You can verify this by opening your browser's network panel, or by disconnecting from the internet — the tool keeps working.

How large a file can it handle?

50 MB documents load and stay interactive, at a cost of roughly 530 MB of browser memory. Above 3 MB the left editor switches to a read-only excerpt because syntax highlighting a document that size locks the browser, while the tree on the right is still built from the whole file.

Why does the editor become read-only on big files?

The code editor builds styling information for every line up front. On a 10 MB document that freezes the page for minutes, and on 50 MB it fails outright. Since nobody hand-edits a 50 MB payload but plenty of people need to explore one, the editor shows the first 256 KB and the tree handles the rest.

Does it work offline?

Yes. TurboParse is a progressive web app: after your first visit it is cached locally and every tool keeps working with no network connection.

JSON Beautifier & Viewer

TurboParse formats raw or minified JSON into readable, correctly indented text and renders it as an interactive tree you can search, filter and copy from. Both panes work on the same document, so you can edit on the left and watch the structure update on the right.

Everything runs in your browser. The app is a static bundle with no server component and no API routes, so there is nowhere for a payload to be sent even accidentally. That matters when the JSON you are debugging contains customer records, access tokens or anything else you would rather not paste into a stranger's web form.

How to use it

Paste JSON into the left pane, drop in a file with Upload, or press Sample to load an example document.
Choose 2 spaces, 4 spaces or tabs, then press Format. Minify strips all whitespace back out again.
Explore the result on the right: click a row to select it, click the chevron to expand or collapse, or use Expand all, Collapse all and the depth buttons 1–5.
Search across keys and values, or run a JSONPath expression to isolate exactly the nodes you want.
Select any node and use Copy path for its JSONPath, Pointer for its RFC 6901 pointer, or Copy node to lift that subtree out as JSON.

Searching a large document

The search bar matches keys and values in three modes. Plain text does a substring match, fuzzy matches characters in order so 'athr' finds 'author', and regex takes a full JavaScript pattern such as \d+\.\d{2} to find every price. You can scope a search to keys only or values only, and toggle case sensitivity.

Matches are highlighted in place and every ancestor on the way to a hit is expanded automatically, so a result buried eight levels down is revealed rather than merely counted. Ctrl+F or Cmd+F focuses this field instead of the browser's own find, which can only see the handful of rows currently rendered.

JSONPath queries

The query bar accepts standard JSONPath: $.store.book[*].author pulls every author, $..price finds prices at any depth, $.users[?(@.age > 30)] filters by a condition, and $.items[-1:] takes the last element. With Isolate enabled the tree hides everything except the matches and the path leading to them.

Filter expressions are evaluated by a restricted interpreter rather than the JavaScript engine, so a query can read your data but can never execute code.

Performance on large payloads

Parsing, flattening, searching and JSONPath all run in a Web Worker, so the interface stays responsive while a large document is processed. The tree is virtualised: only the rows on screen exist in the DOM, which keeps scrolling smooth whether the document has fifty nodes or three million.

Measured on a production build, a 10 MB payload parses in roughly 21–33 ms and a 50 MB payload in roughly 103–151 ms, with scroll cost effectively unchanged between them.

Frequently asked questions

Is my JSON uploaded anywhere?: No. The site is a static export with no backend, and no request carrying your input is ever made. You can verify this by opening your browser's network panel, or by disconnecting from the internet — the tool keeps working.
How large a file can it handle?: 50 MB documents load and stay interactive, at a cost of roughly 530 MB of browser memory. Above 3 MB the left editor switches to a read-only excerpt because syntax highlighting a document that size locks the browser, while the tree on the right is still built from the whole file.
Why does the editor become read-only on big files?: The code editor builds styling information for every line up front. On a 10 MB document that freezes the page for minutes, and on 50 MB it fails outright. Since nobody hand-edits a 50 MB payload but plenty of people need to explore one, the editor shows the first 256 KB and the tree handles the rest.
Does it work offline?: Yes. TurboParse is a progressive web app: after your first visit it is cached locally and every tool keeps working with no network connection.