Add a Unicode & Invisible Character Inspector tool
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@srikar-naidu ya está trabajando en esto.
Desde el 29/10/2026.
Evaluación
- Dificultad
- 5/5
- Tiempo estimado
- Más de una semana
- Aptitud para principiantes
- 45/100
- Tipo de issue
- Nueva funcionalidad
- Claridad
- Bien especificado
- Estado de actividad
- Activo
- Stack tecnológico
- nextjs, typescript
- Área
- developer-experience, frontend
Línea de trabajo
Start by reading CONTRIBUTING.md's new-tool checklist and inspect the existing tool registry, tool pages, client components, and tests. Build the Unicode inspection and normalization logic in lib/ with tests for the listed edge cases, then follow the checklist for the page, registry, OG image, JSON-LD, sitemap, README, package keyword, and bug-report dropdown. Done means the listed acceptance criteria pass, including the lint, test, and build commands.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
What problem does this solve?
Text that looks identical can contain different Unicode characters, invisible whitespace, or different normalization forms. This can cause unexpected behavior when comparing strings, debugging pasted text, or inspecting identifiers.
Toolbelt has encoding and text-conversion tools, but no dedicated way to inspect the characters behind a string.
Proposed solution
Add a fully client-side tool at /unicode-inspector that breaks text down into Unicode code points and makes invisible characters visible.
Scope
- Provide a labeled textarea that updates the inspection results as users type.
- Display one row per Unicode code point, showing:
- The character or a visible placeholder for whitespace/control characters.
- Its code point, such as
U+0041. - Its zero-based UTF-16 offset in the original input.
- Its UTF-16 code units and UTF-8 bytes in hexadecimal.
- Identify common invisible characters, including:
- Space, tab, LF, and CR.
- Non-breaking space (
U+00A0). - Zero-width space (
U+200B). - Zero-width non-joiner/joiner (
U+200C/U+200D). - Byte order mark (
U+FEFF). - Bidirectional formatting controls.
- Explain that some invisible characters are intentional, including joiners used in emoji and writing systems.
- Show separate counts for UTF-16 code units, Unicode code points, and UTF-8 bytes.
- Provide NFC and NFD normalization previews with an indication of whether normalization changes the input.
- Allow copying either normalized result without changing the original input.
- Include examples containing combining accents, emoji, and invisible whitespace.
Acceptance criteria
- Supplementary characters such as emoji appear as one code-point row with two UTF-16 code units.
- Combining sequences remain separate code-point rows and are not presented as single user-perceived characters.
- CRLF input displays CR and LF separately.
- Invisible characters have readable labels rather than blank cells.
- Unpaired UTF-16 surrogates are flagged explicitly; the UI explains that UTF-8 encoding replaces them with U+FFFD.
- NFC/NFD previews correctly distinguish composed and decomposed text, such as
éandefollowed by U+0301. - Input is displayed as text and never interpreted as HTML.
- Large inputs have a documented inspection limit and a clear truncation message.
- Controls are keyboard accessible and results remain readable in both themes.
- Pure inspection and normalization logic lives in
lib/with tests covering ASCII, emoji, combining marks, invisible characters, and unpaired surrogates. - Complete the new-tool checklist in CONTRIBUTING.md, including the registry entry, page, client component, OG image, JSON-LD, sitemap, README gallery/list, package keyword, and bug-report dropdown.
npm run lint && npm run test && npm run buildpass.
A complete Unicode character-name database, confusable-character detection, automatic removal of invisible characters, and grapheme-cluster segmentation are outside v1 scope.
Fit
- This can work entirely in the browser with no server or data leaving the tab.
- Lenguaje dominante
- TypeScript
- Estrellas
- 1
- Forks
- 9
- Merge medio
- 7 h 10 min
- PR fusionados (30 d)
- 200
Preparar el entorno
- Sin Dockerfile ni archivo de Docker Compose
- Tiene una plantilla de pull request
- Leer la guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
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