JSON-Studio

JSON Studio is a private, lossless workspace for JSON.

Most JSON tools either choke on big files, silently mangle your numbers, or send your data to a server. JSON Studio does none of that. It is a native desktop app built for speed and correctness: open a half-gigabyte file and start navigating immediately, knowing that what you see is byte-for-byte what is on disk. Everything runs on your own machine - no accounts, no uploads, no analytics, no network calls - making it safe for proprietary, regulated or personal data.

Features

Browse huge files smoothly. A virtualized tree and raw source view stay responsive on documents up to 500 MB, with collapse/expand, expand-to-depth, type and item-count badges, source line markers and full keyboard navigation.
Trust your data. Big integers, high-precision decimals, key order and the exact original text are preserved losslessly - nothing is rounded, reordered or reformatted.
Find anything fast. Search across keys and values with case sensitivity, whole-field matching, regular expressions and subtree scoping, then jump straight to a match in the tree.
Query with JSONPath. Run RFC 9535 expressions with per-document history, execution timing, result counts, copy paths/results and export to JSON or JSONL.
Compare two documents. A structural diff (key order ignored) matches arrays by index or by a key field and highlights what was added, removed or changed.
Work with JSONL / NDJSON. View line-delimited records as a virtualized table with selectable columns, field statistics and invalid-row highlighting.
Preview embedded images. String values that are data:image URIs or base64 (PNG, JPEG, GIF, WebP, SVG) can be viewed inline.
Format and export. Copy pretty-printed or minified JSON, or save the re-serialized document in one click.
Stay in flow. Multiple documents in tabs, remembered sessions, live reload when a file changes on disk, a node detail panel with copyable path and value, and System/Light/Dark themes.

Project Samples

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License

MIT License

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jstools Posted 2026-06-27

Amazing app ;-)

Additional Project Details

Operating Systems

Linux, Mac, Windows

Intended Audience

Advanced End Users, Architects, Developers, End Users/Desktop, Management, System Administrators

User Interface

Web-based

Programming Language

Rust, TypeScript

Database Environment

SQLite

Related Categories

Rust Web Development Software, Rust Code Editors, Rust Code Formatters, TypeScript Web Development Software, TypeScript Code Editors, TypeScript Code Formatters

Registered

1 day ago

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