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uencoder
PIPELINE Text Processing Intermediate 2 steps

Convert naming case and validate as JSON

When generating configuration keys from source-code identifiers, this chain first converts the naming convention (e.g. snake_case to camelCase) and then validates the result as JSON. The validation step catches cases where the conversion produced invalid JSON keys — for example unquoted strings or trailing commas.

What it solves

Convert identifiers to a target naming convention, then validate the output as JSON to confirm structure.

Input → Output

Naming Convention Converter input → JSON Validator output across 2 steps.

Runs in

1–2 minutes · fully local in your browser.

Before you start

  • A list of identifiers or a JSON-like string using a source naming convention

The pipeline

  1. 1 Naming Convention Converter naming-convert

    Convert between camelCase, PascalCase, snake_case, kebab-case, CONSTANT_CASE. Free, private, 100% client-side.

    Params: from=snake, to=camel

  2. 2 JSON Validator json-validate

    Validate JSON and pinpoint syntax errors by line and column. Free, private, and 100% client-side.

Open in Toolchain

Runs locally in your browser. The recipe defines the pipeline only — your input never leaves this tab.

▶Run this workflow

Enter your input below and click Run. All processing happens locally in your browser — nothing is uploaded.

Pipeline progress

  1. Naming Convention Converternaming-convert
  2. JSON Validatorjson-validate

Sample input

{"user_name":"alice","is_active":true}

Expected output

Valid JSON

This pair is executed against the real tools at build time (tests/unit/recipes.test.ts) — the expected output is verified, not illustrative.

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Tools used

Naming Convention Converter
Convert between camelCase, PascalCase, snake_case, kebab-case, CONSTANT_CASE. Free, private, 100% client-side.
TOOL
JSON Validator
Validate JSON and pinpoint syntax errors by line and column. Free, private, and 100% client-side.
TOOL