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Text to enum
Turn plain text lines into enum-friendly constants.
Process the input to see the result here.
Turn plain text lines into enum-friendly constants. Text to enum uses Items (textarea, required) and returns a browser-generated result that can be reviewed before copying.
When to use
Use Text to enum when your workflow needs turn plain text lines into enum-friendly constants. Example workflow: Pending Approved Rejected -> UPPER_SNAKE_CASE enum entries..
Input
Enter the data requested by the tool. Fields: Items (textarea, required). Example input: Pending Approved Rejected
Output
The tool returns a processed result to copy or review. Example output: UPPER_SNAKE_CASE enum entries.. Then use related tools to validate, convert, or continue the same workflow.
- Open the tool and review the expected input type. Fields: Items (textarea, required).
- Paste, upload, or fill in the requested data in the form. Start from the example pattern: Pending Approved Rejected.
- Run the processing step and read validation messages if they appear.
- Review the result, copy only what you need, and validate it before production use.
- Build enum items: Use Text to enum in this workflow: Pending Approved Rejected -> UPPER_SNAKE_CASE enum entries..
- enum generator: Use Text to enum for enum generator directly in the browser.
- Invalid or incomplete input: If the tool rejects the input, review these fields and formats before trying again: Items (textarea, required). Review required fields, accepted formats, and validation messages before using the result.
- Sensitive data: Processing runs in the browser, so review any sensitive data before pasting, uploading, or sharing it. Avoid sharing results until you review tokens, documents, files, or personal data involved.
- Large inputs: Very large files or text can take longer in the browser and should be validated before critical workflows.
Build enum items
Input: Pending Approved Rejected
Output: UPPER_SNAKE_CASE enum entries.
Which output format does it generate?
It generates identifiers in UPPER_SNAKE_CASE.
Are accents and symbols removed?
Yes. The string is normalized and separators become underscores.
Does it trim leading and trailing underscores?
Yes. Extra edge underscores are removed from the final result.
Are numbers preserved?
Yes. Valid digits are kept in the generated identifier.
Where is data processed?
In your browser, with no backend upload.
How do I use this tool safely?
Use the tool as a short workflow: review the expected input, run processing, and validate the output: Fields: Items (textarea, required). Example workflow: Pending Approved Rejected -> UPPER_SNAKE_CASE enum entries.. Enter the requested input, run the tool, and review validation messages or warnings before copying the result.
Which inputs and outputs should I check?
Check this tool's input fields, examples, and output before using the result: Items (textarea, required). Use the fields, formats, and limits described in the tool interface; review the output before applying it to critical workflows.