Text Case Converter
Snake_case, camelCase, kebab-case — for filenames and code
- converted_text
The other case node in this pack is for humans. Text Case Converter is for computers. It takes any text and converts it into the naming conventions machines and file systems actually use - snake_case, kebab-case, camelCase, PascalCase - alongside the usual UPPER/lower/Title/Sentence styles. If you're generating filenames, variable names, or tags that another system will parse, this is the node that makes the casing consistent.
It's part of DebugPadawan's ComfyUI Essentials, a pure-Python utility pack. The mechanism: it strips non-alphanumeric characters into word boundaries, then rejoins them per the selected style.
How it works
Two required inputs:
text- the string to convert (multiline-friendly, default"hello world")mode- the dropdown with eight choices:UPPER,lower,Title Case,Sentence case,snake_case,kebab-case,camelCase,PascalCase
One output: converted_text - the result.
For the four "code" modes, the node tokenizes by replacing every non-alphanumeric character with a space and splitting, then rejoins:
snake_case→hello_worldkebab-case→hello-worldcamelCase→helloWorld(first word lower, the rest capitalized)PascalCase→HelloWorld(all words capitalized, no separator)
The bonus is that it's smart about input: "Hello World", "hello-world", and "hello_world" all tokenize to the same words, so converting between conventions is genuinely round-trippable. Sentence case capitalizes each sentence after a . - a nice touch over plain lower.
Where you'll use it
- Filenames.
kebab-caseorsnake_casefor save nodes so files stay parser-friendly. - Tags and metadata. Normalize tag strings into a consistent convention for downstream systems that expect one.
- Prompt building.
Title Casefor display text,UPPERfor emphasis keywords. - Round-tripping. Bring in data from one convention, convert to another for export.
Installing it
Whole pack, one install. ComfyUI Manager, searching for "DebugPadawans-ComfyUI-Essentials," or:
cd ComfyUI/custom_nodes
git clone https://github.com/DebugPadawan/DebugPadawans-ComfyUI-Essentials
Then restart ComfyUI. Requirements (numpy, torch, opencv-python) are already in stock ComfyUI; no models to fetch. When searching Manager, don't confuse this pack with cubiq's "ComfyUI Essentials" - a different, larger pack in maintenance mode.
Gotchas
- The tokenizer drops non-alphanumeric characters entirely.
"50/50"becomes the single word"5050"→camelCasegives"5050", not"50-50". If your text has meaningful punctuation or digits with separators, this can mangle it - keep digits and symbols out of what you feed it. - Unicode/accented characters get stripped by the
[^a-zA-Z0-9]tokenizer, so"café"becomes"caf". Pure ASCII in, clean ASCII out; that's the trade-off. - Empty input returns empty string rather than erroring - graceful, just be aware.
- Small, quiet pack; the behavior is deterministic enough that the source is the doc.
Inputs (2)
| Name | Type | Default | Description |
|---|---|---|---|
| text | STRING | hello world | — |
| mode | COMBO | 8 options: UPPER, lower, Title Case, Sentence case, snake_case, kebab-case, +2 |
Outputs (1)
| Name | Type | Description |
|---|---|---|
| converted_text | STRING | — |