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 .bib 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 .bib 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.
A .bib file is a BibTeX database: a list of records, each opening with an @type and a citation key and then a set of field = {value} pairs. It separates what a reference *is* from how a journal wants it printed, which is the whole idea. For this route the practical draw is separates data from presentation, so citation style is a late decision and plain text, diffable, and readable without any tool — balanced against no formal specification, so parsers disagree at the edges, 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 .bib buys you separates data from presentation, so citation style is a late decision, which is why it is the better fit for managing references for LaTeX papers and theses. Because the conversion runs locally, trying it costs nothing but a few seconds of compute on your own machine.
| Aspect | JSON data (.json) | BibTeX bibliography (.bib) |
|---|---|---|
| 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 | each record is @type{key, field = {value}, ...}, where the type (article, book, inproceedings, misc) determines which fields are required |
| Strongest at | rEST and HTTP API request and response payloads | managing references for LaTeX papers and theses |
| Weak spot | no comments — a perpetual annoyance for configuration files | no formal specification, so parsers disagree at the edges |
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 .bib in the output menu next to each file. The menu only offers targets this engine can genuinely produce, so if BIB 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 BIB file. Outputs keep the original filename with the .bib extension.
There is no visual quality to lose — json is text-oriented and bib 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.
LaTeX, BibLaTeX, Zotero, Mendeley, JabRef, EndNote, Overleaf and Google Scholar all read or write BibTeX. Novus Convert normalises records through a bounded citation model locally — without executing string macros or loading external files — and converts to RIS, JSON and CSV.
It depends on the content: each record is @type{key, field = {value}, ...}, where the type (article, book, inproceedings, misc) determines which fields are required. Convert one representative file first and compare before batch-processing a large set.
Yes — the reverse route exists as a separate tool. Bear in mind that round-tripping .json → .bib → .json is not a perfect undo when any lossy step is involved; keep your original if fidelity matters.