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 .graphml 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 .graphml 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 .graphml file describes a graph in XML: a <graph> element containing <node> and <edge> elements, with arbitrary typed attributes attached to either through <key> declarations and <data> values. It expresses topology first and leaves layout to whoever draws it. For this route the practical draw is extensible attribute model that does not break older readers and broad support across graph-analysis and drawing tools — balanced against verbose; large graphs produce very large files, 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 .graphml buys you extensible attribute model that does not break older readers, which is why it is the better fit for exchanging network data between yEd, Gephi, Cytoscape and NetworkX. Because the conversion runs locally, trying it costs nothing but a few seconds of compute on your own machine.
| Aspect | JSON data (.json) | GraphML graph (.graphml) |
|---|---|---|
| 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 | node and edge attributes are declared once as <key> elements and referenced by <data key="..."> — so the schema is explicit rather than inferred |
| Strongest at | rEST and HTTP API request and response payloads | exchanging network data between yEd, Gephi, Cytoscape and NetworkX |
| Weak spot | no comments — a perpetual annoyance for configuration files | verbose; large graphs produce very large files |
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 .graphml in the output menu next to each file. The menu only offers targets this engine can genuinely produce, so if GRAPHML 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 GRAPHML file. Outputs keep the original filename with the .graphml extension.
There is no visual quality to lose — json is text-oriented and graphml 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.
yEd, Gephi, Cytoscape, NetworkX, igraph and JGraphT read GraphML. Novus Convert parses topology and labels locally, with document types and external entities blocked, and converts to GEXF, DOT, JSON and SVG — the SVG being a direct rendering rather than a re-export.
It depends on the content: node and edge attributes are declared once as <key> elements and referenced by <data key="..."> — so the schema is explicit rather than inferred. 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 → .graphml → .json is not a perfect undo when any lossy step is involved; keep your original if fidelity matters.