Everyday text transformations
Developers constantly manipulate strings — converting case for variable names, normalizing whitespace in pasted logs, sorting lines, generating test data, and finding/replacing patterns across multi-line inputs. These text tools handle the repetitive transformations that slow down debugging and code generation.
Popular use cases
- Case conversion — snake_case ↔ camelCase ↔ PascalCase ↔ kebab-case for API fields and database columns
- Whitespace — trim trailing spaces, collapse multiple spaces, normalize line endings (LF vs CRLF)
- Line operations — sort, deduplicate, or reverse lines in log output or CSV data
- Generators — create random strings, UUIDs, or lorem ipsum for test fixtures
- Counters — word, character, and line counts for content limits and validation
Works with your clipboard workflow
Most text tasks start with a paste from logs, Slack, Jira, or an IDE. Paste your input, run the transformation, and copy the output. No file upload required for typical string operations. For larger inputs, check each tool's size limits.
Frequently asked questions
Which case style should I use for API fields?
JSON APIs typically use camelCase. Database columns often use snake_case. URL paths use kebab-case. Environment variables commonly use SCREAMING_SNAKE_CASE. Match your project conventions.
How do I fix mixed line endings?
Use the line ending converter to normalize CRLF (Windows) and LF (Unix) endings. Mixed endings cause noisy git diffs and parser failures in shell scripts.
Can I chain text transformations?
Yes. Use "Use as input" on the output panel to feed results into another operation, or copy the output and paste it into a related tool.