Free, 100% client-side private JSON Schema (Draft 7/2020-12) to TOML converter. Transform syntax instantly in your browser with zero data logging, strict AST validation, and CLI support.
"$schema" = "http://json-schema.org/draft-07/schema#"
title = "UserProfile"
type = "object"
required = [ "id", "name", "email", "role", "active" ]
[properties.id]
type = "string"
[properties.name]
type = "string"
[properties.email]
type = "string"
format = "email"
[properties.role]
type = "string"
enum = [ "admin", "member", "guest" ]
[properties.active]
type = "boolean"
[properties.preferences]
type = "object"
required = [ "theme", "notifications", "retries" ]
[properties.preferences.properties.theme]
type = "string"
[properties.preferences.properties.notifications]
type = "boolean"
[properties.preferences.properties.retries]
type = "integer"
[properties.tags]
type = "array"
[properties.tags.items]
type = "string"
Paste or type your source JSON Schema (Draft 7/2020-12) syntax into the input editor pane.
The parser validates data structure in real-time, building an in-memory AST without sending any bytes to external servers.
Inspect the formatted TOML output generated instantly in the output preview pane.
Copy the result to your clipboard, download as a .toml file, or chain it into a multi-step DevFlow pipeline.
100% Client-Side Private: All transformations execute entirely within your browser memory; zero payload logging.
Strict AST Preservation: Retains nested objects, arrays, types, and schema contracts accurately.
Instant Interactive Feedback: Real-time syntax validation with line-specific error reporting.
DevFlow CLI Compatible: Automate identical conversions directly inside your terminal, pre-commit hooks, or CI pipelines.
Run this transformation offline using the high-performance DevFlow CLI inside GitHub Actions, GitLab CI, or pre-commit hooks.
devflow convert json-schema toml -i data.schema.json -o output.tomlGenerate TypeScript interfaces, Zod schemas, and Valibot schemas from JSON.
Render Draft-07 / 2020-12 JSON Schemas into interactive visual trees, documentation diagrams, and realistic mock data.
Convert between TOML and JSON formats with syntax validation, key sorting, and auto-direction detection.