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Text, Diff & Markdown StudiosRuns locally in your browser · No signup
Case, Slug & List Transform Studio
Convert 12 identifier/prose cases, transliterate URL slugs, sort/dedupe/wrap/regex-filter multi-line lists, normalize CRLF/smart quotes, and convert Morse/NATO/ROT13.
100% Local Browser Engine · Zero Uploads3 Workspaces
12 Case Modes, Slugifier & Line Processor: Convert camelCase, PascalCase, snake_case, kebab-case, CONSTANT_CASE, AP Title Case, ASCII URL slugs, and multi-line dedupe/sort/wrap.
Input / Output Text Buffer
0 non-empty lines · 0 chars
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What is Case, Slug & List Transform Studio?
Text Transform, Slug & Line Studio converts between 12 naming/editorial case styles, generates diacritic-safe ASCII URL slugs, runs multi-line dedupe/sort/regex-filter pipelines, strips zero-width & CRLF characters, normalizes Unicode NFC, and encodes Morse/ROT13.
How to use Case, Slug & List Transform Studio in 3 steps
- 1
Pick Case/Lines, Cleaners, or Ciphers
Paste identifiers, headings, messy pasted text, or log lines.
- 2
Apply one-click deterministic transforms
Convert camelCase ↔ snake_case, deduplicate lists, or strip smart quotes and HTML tags.
- 3
Copy clean text
Export normalized lists, URL slugs, or sanitized prose.
Key features and benefits
- Combines identifier casing, slugification, list deduplication, invisible-char removal, and Unicode NFC normalization.
- Handles accented Latin characters cleanly when building SEO URL slugs.
Common use cases
Converting database snake_case columns into TypeScript camelCase props.
Cleaning invisible zero-width spaces and Windows CRLF line endings from copied text.
Why browser-based works better
Case, Slug & List Transform Studio consolidates related text, diff & markdown studios workflows into one cohesive, multi-mode browser studio — eliminating tab-hopping across fragmented single-purpose tools.
Every mode executes locally using Web APIs and audited client-side libraries, so private files, tokens, and source code never leave your device.
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Case, Slug & List Transform Studio FAQs
Quick answers about the workflow, privacy, and where this tool fits in a broader job.
What does Unicode NFC normalization fix?
It composes decomposed accent sequences (such as 'e' + combining acute) into canonical single code points so string comparisons match reliably.
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