Text Formatter

Continue in the tool

Text Transformations and Formatting

Formatting text is rarely a single operation: it is usually cleaning whitespace, then removing a duplicate line, then changing the case, each step depending on the previous one’s result.

A pipeline instead of a single button

The tool organizes 35 operations into 6 families (case, whitespace, lines, transform, wrap and regular expression), and each one can be toggled on, off and reordered in a sequence; if a step fails, the text passes through unchanged to the next one instead of breaking the whole chain, and the failure is logged only against that step.
The character count used internally counts grapheme clusters through `Intl.Segmenter`, not UTF-16 units: the Brazilian flag "🇧🇷" has 4 code units, 2 Unicode code points, but 1 single grapheme, and that last number is what the pipeline uses to avoid splitting a composite emoji in half while reversing or shuffling text; local file uploads accept up to 2,097,152 bytes (2 MB).
The real pitfall is catastrophic backtracking in a regular expression: since a browser cannot interrupt a regex `exec` already in progress, the tool defends before running, rejecting patterns with an unbounded quantifier applied to a group that already contains an unbounded quantifier inside it, like `(a+)+`; on top of that, inputs above 200,000 characters skip the regex step entirely, and matches are capped at 20,000 per step, checked every 400 milliseconds between matches, never during a single match.

Three operations, three real outputs

Slugify (URL-friendly)

Input: Relatório de Vendas: Março/2026
Expected output: relatorio-de-vendas-marco-2026

The operation strips accents, swaps spaces and slashes for hyphens, and drops everything to lowercase in one step, the typical two-step pipeline (strip accents, then normalize spacing) condensed into one.

Remove accents

Input: Configuração e atenção à acentuação
Expected output: Configuracao e atencao a acentuacao

Unlike slugify, this operation keeps capitalization, spaces and punctuation; it only neutralizes diacritics, useful for generating a file name or identifier that still needs to read as a sentence.

Sentence case

Input: OLÁ MUNDO. este é um TESTE.
Expected output: Olá mundo. Este é um teste.

The operation finds the end of each sentence by its `. ! ?` punctuation and capitalizes only the first letter after it, so it fixes both all-caps and all-lowercase text in the same pass.

Full tool FAQ

Can I apply several transforms at once?

Yes, that is how the tool normally works. You build a chain of operations and it is applied in order to the input, with the result recomputed live. Each step can be reordered, switched off temporarily or removed, and the whole chain can be saved under a name for later reuse.

What is text formatting?

What is a slug and how is it generated?

Does removing accents change the text?

Why can a text contain problematic invisible spaces?

Do pretty JSON and minified JSON mean the same data?

Is converting everything to uppercase or lowercase always safe?

Does formatting solve bad content?

Why does the tool refuse some regular expressions?

Why does the character count sometimes differ from other editors?

Frequently asked questions

What is the difference between slugify and removing accents?

Removing accents only swaps "ç" for "c" and "ã" for "a", keeping spaces, capitalization and punctuation; slugify does that and, on top of it, swaps spaces for hyphens and drops everything to lowercase, producing text ready to become part of a URL.

Why is a regex pattern that looks valid rejected?

Because it contains an unbounded quantifier nested inside another unbounded quantifier, like `(a+)+` or `(\d+)*`; that shape can make the browser’s regex engine hang trying too many combinations, and since that calculation cannot be interrupted mid-way, the tool refuses the pattern before it runs.

Can I chain multiple transformations, like removing accents and then lowercasing?

Yes, that is the whole reason the pipeline exists: each operation added runs on the previous one’s output, so removing accents followed by lowercase processes the text in two passes, in the order the steps appear in the list.

Is there a file size limit for uploading to the formatter?

Yes, local file uploads accept up to 2 MB (2,097,152 bytes); larger files need to be split beforehand or pasted in chunks directly into the text field.

Next steps

A pipeline instead of a single button

The tool organizes 35 operations into 6 families (case, whitespace, lines, transform, wrap and regular expression), and each one can be toggled on, off and reordered in a sequence; if a step fails, the text passes through unchanged to the next one instead of breaking the whole chain, and the failure is logged only against that step.

The character count used internally counts grapheme clusters through `Intl.Segmenter`, not UTF-16 units: the Brazilian flag "🇧🇷" has 4 code units, 2 Unicode code points, but 1 single grapheme, and that last number is what the pipeline uses to avoid splitting a composite emoji in half while reversing or shuffling text; local file uploads accept up to 2,097,152 bytes (2 MB).

The real pitfall is catastrophic backtracking in a regular expression: since a browser cannot interrupt a regex `exec` already in progress, the tool defends before running, rejecting patterns with an unbounded quantifier applied to a group that already contains an unbounded quantifier inside it, like `(a+)+`; on top of that, inputs above 200,000 characters skip the regex step entirely, and matches are capped at 20,000 per step, checked every 400 milliseconds between matches, never during a single match.

Three operations, three real outputs

Slugify (URL-friendly)

Input: Relatório de Vendas: Março/2026
Expected output: relatorio-de-vendas-marco-2026

Remove accents

Input: Configuração e atenção à acentuação
Expected output: Configuracao e atencao a acentuacao

Unlike slugify, this operation keeps capitalization, spaces and punctuation; it only neutralizes diacritics, useful for generating a file name or identifier that still needs to read as a sentence.

Sentence case

Input: OLÁ MUNDO. este é um TESTE.
Expected output: Olá mundo. Este é um teste.

The operation finds the end of each sentence by its `. ! ?` punctuation and capitalizes only the first letter after it, so it fixes both all-caps and all-lowercase text in the same pass.

Full tool FAQ

Can I apply several transforms at once?

What is text formatting?

What is a slug and how is it generated?

Does removing accents change the text?

Why can a text contain problematic invisible spaces?

Do pretty JSON and minified JSON mean the same data?

Is converting everything to uppercase or lowercase always safe?

Does formatting solve bad content?

Why does the tool refuse some regular expressions?

Why does the character count sometimes differ from other editors?

Frequently asked questions

What is the difference between slugify and removing accents?

Why is a regex pattern that looks valid rejected?

Can I chain multiple transformations, like removing accents and then lowercasing?

Is there a file size limit for uploading to the formatter?

Yes, local file uploads accept up to 2 MB (2,097,152 bytes); larger files need to be split beforehand or pasted in chunks directly into the text field.