Generate and Validate TOML Schemas
Create JSON Schemas from your TOML files to define their structure, or validate existing TOML against a schema to ensure consistency and correctness.
Schema will appear here...
How the TOML Schema Generator & Validator Works
This tool generates schema definitions for TOML files and validates TOML content against schemas. Define expected structure, types, and constraints, then verify your TOML files comply with the schema.
Schemas specify required fields, data types, allowed values, and nested structure. The validator checks your TOML against these rules, reporting missing fields, type mismatches, and constraint violations.
Generate schemas from existing TOML files automatically, or write schemas manually for strict validation. Use schemas to document expected configuration structure and catch errors before runtime.
When You'd Actually Use This
Validating configuration files
Ensure team members create valid config files. Define a schema for your application's config, validate before deployment, catch typos and type errors early.
Documenting expected structure
Schema serves as documentation for what fields your app expects. New developers can read the schema instead of digging through code to understand config options.
CI/CD pipeline validation
Add TOML validation to your build pipeline. Reject commits with invalid configuration. Prevent deployment failures caused by configuration errors.
Generating config templates
From your schema, generate example TOML files with all required fields. Give users a starting point that's guaranteed to be valid.
Migrating configuration formats
Moving from JSON/YAML to TOML? Define your schema first, then validate the converted TOML matches your original structure and constraints.
Building config editors
Use schema to power intelligent config editors. Show available fields, validate as users type, provide autocomplete based on schema definitions.
What to Know Before Using
TOML doesn't have a standard schema format.Unlike JSON Schema or XML Schema, TOML has no official schema standard. Tools use various approaches. This tool uses a practical validation format.
Required vs. optional fields matter.Mark fields as required if your application needs them. Validation fails if required fields are missing. Optional fields can be omitted without errors.
Type checking catches common errors.String vs. integer, boolean vs. string "true"/"false". Type validation catches these mistakes before they cause runtime failures.
Nested validation follows structure.Schemas validate nested tables recursively. Each sub-table can have its own required fields and type constraints.
Pro tip: Start with a lenient schema (few required fields), then tighten it over time. This lets you adopt validation gradually without breaking existing configs.
Common Questions
What makes a valid TOML schema?
A schema defines field names, types, and constraints. Required fields are marked. Type options include string, integer, float, boolean, datetime, array, table.
Can I validate array element types?
Yes, specify the expected type of array elements. Arrays of integers, strings, or even nested tables. Validation checks each element matches the schema.
How do I handle optional fields?
Mark fields as optional in the schema. Validation won't fail if they're missing. You can still validate their type if present.
Can I set value constraints?
Some validators support min/max values for numbers, pattern matching for strings, and enum constraints. Check what this tool supports for your use case.
What happens when validation fails?
You get detailed error messages: which field failed, what was expected, what was found. Fix each error and re-validate until the TOML passes.
Can I generate schema from TOML?
Yes, analyze existing TOML to infer a schema. The tool examines field types and structure, then generates a schema you can refine and extend.
Is there TOML Schema standard?
No official TOML Schema standard exists like JSON Schema. Various tools have their own approaches. This tool uses a practical validation format.
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