Add your JSON file
Drop one or more .json files onto the converter above, or browse for them. They load into browser memory only — nothing is uploaded, so there is no size-based pricing and no server queue.
Restructuring .json data as .i18next changes the serialization without touching the values themselves. Free, private, and validated — the file never leaves your browser.
Batch files can each use a different output. Nothing uploads for local conversions.
Working inputs include camera RAW, browser-local audio/video, PDF, CBZ/CBR comics, office documents, ebooks, markup, 3D models, structured text, images, and archives.Restructuring .json data as .i18next changes the serialization without touching the values themselves. A .json file holds JavaScript Object Notation: nested objects, arrays, strings, numbers, booleans, and null written in a strict text syntax. It is the default data language of the web — most APIs speak nothing else.
An i18next resource is the JSON translation file used by the i18next library: nested objects whose leaf values are the translated strings, addressed in code by dotted keys such as nav.settings.title. Because the file is ordinarily just named en.json, Novus Convert identifies it by the .i18next.json suffix so it is not mistaken for arbitrary JSON. For this route the practical draw is plain JSON, so every tool in the JavaScript ecosystem already reads it and nesting keeps large catalogs navigable — balanced against no metadata at all — translators get keys and strings with no context, which is worth knowing before you commit a large batch.
The practical trigger for this conversion is usually a mismatch: with .json, no comments — a perpetual annoyance for configuration files. Switching to .i18next buys you plain JSON, so every tool in the JavaScript ecosystem already reads it, which is why it is the better fit for localising a React, Vue, Angular or Node application. Because the conversion runs locally, trying it costs nothing but a few seconds of compute on your own machine.
| Aspect | JSON data (.json) | i18next JSON (.i18next) |
|---|---|---|
| Format type | Text-based — characters and structure, so there is no visual quality loss | Text-based — characters and structure, so there is no visual quality loss |
| How it stores data | exactly six value types; no dates, no comments, no trailing commas — the strictness is deliberate | nesting is structural: objects group keys, and lookups use a dotted path with the separator configurable |
| Strongest at | rEST and HTTP API request and response payloads | localising a React, Vue, Angular or Node application |
| Weak spot | no comments — a perpetual annoyance for configuration files | no metadata at all — translators get keys and strings with no context |
Drop one or more .json files onto the converter above, or browse for them. They load into browser memory only — nothing is uploaded, so there is no size-based pricing and no server queue.
Select .i18next in the output menu next to each file. The menu only offers targets this engine can genuinely produce, so if I18NEXT is selectable, the route is real and validated.
Press Convert. The restructuring is plain local parsing — your data is never posted to a server for processing.
Each result is signature-checked before the download unlocks, so a failed encode can never masquerade as a valid I18NEXT file. Outputs keep the original filename with the .i18next extension.
There is no visual quality to lose — json is text-oriented and i18next is text-oriented, so the question is structural fidelity. Text, ordering, and basic structure are preserved; complex layout, embedded objects, and styling beyond the target's model are simplified.
Yes — the .json file is processed inside your browser tab and never uploaded. The restructuring is plain local parsing — your data is never posted to a server for processing. Close the tab and the file is gone from memory.
Universally readable as JSON, and supported natively by i18next and every major translation platform. Novus Convert flattens nested objects into dotted keys locally — matching how the strings are addressed in code — and converts to and from the other localization formats.
It depends on the content: nesting is structural: objects group keys, and lookups use a dotted path with the separator configurable. Convert one representative file first and compare before batch-processing a large set.