100% local and secure
Your data stays on your device and is never sent to our servers.
Analyze a JSON document and infer types, properties, arrays and required fields automatically.
Automatically generate a JSON Schema from sample JSON without sending your data to a server. The tool infers types, properties, arrays and required fields to produce a reusable schema baseline.
Your data stays on your device and is never sent to our servers.
Generate, convert, or validate technical data with purpose-built controls.
Technical formats and syntaxes suited to each generator, converter, or validator.
Get a clean, ready-to-use result in seconds without installing software or configuring a complex workflow.
Fonctionnement
The content is processed entirely in the browser by a shared engine. The transformation produces a typed resource compatible with Workspace so it can be chained with other operations. Nothing you enter or import is sent to Bethemesh during processing, and the result remains local for copying, exporting or pipeline use.
Use this transformation in a local pipeline and reuse the result immediately in the next compatible processing step.
Process your content without installing software or uploading data to a remote online service.
Create a clean reusable output for a website, documentation, sharing or another local transformation.
Guide
Enter or import the content requested by the tool.
Review the content and run the local transformation.
Copy, export or reuse the output in Workspace.
No. Processing is performed locally in your browser.
Yes. It is free and does not require an account.
Yes. The shared transformation is available in Workspace.
Learn how tabular data is structured, how CSV, Excel, JSON and TSV differ, and how to choose the right format before cleaning, converting or automating a workflow.
Understand delimiters, encodings, types, nested JSON and spreadsheet features before converting data between CSV, Excel, JSON and TSV.
Understand ISO 8601 week numbers, Unix timestamps in seconds or milliseconds, and the difference between human-readable dates and technical time values.
Understand structured data, choose relevant Schema.org types and generate JSON-LD that matches visible page content.
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