Guides

Text cleanup workflow

Sort, dedupe, count, preview, and normalize text before using it in code or content systems.

Keep the original text available

Sorting, deduping, case conversion, slug generation, and counting are easy to over-apply. Keep the original input nearby so you can verify that cleanup did not remove meaningful order, punctuation, or casing.

  • Copy the original to the before side of Text Diff.
  • Check line counts after dedupe.
  • Preserve casing when it carries product or code meaning.

Choose cleanup based on the destination

Text headed for code, metadata, route slugs, CSV, Markdown, or UI labels needs different handling. The safest workflow starts with the destination and then chooses the smallest transformation.

  • Use slug generation for routes and filenames.
  • Use case conversion for identifiers and headings.
  • Use word counting for metadata and UI limits.

Sort and dedupe only when order is irrelevant

Alphabetical sorting helps with allowlists, keyword lists, and repeated lines, but it can damage logs, prose, changelogs, and ordered instructions. Decide whether order is meaningful before cleaning a list.

  • Keep chronological logs in original order.
  • Sort keyword or ID lists when order has no meaning.
  • Dedupe only after confirming repeated lines are accidental.

Preview Markdown and table output

Markdown tables and docs snippets can look correct in raw text while rendering poorly because of uneven columns, pipes, tabs, or escaped characters. Preview before copying into a README, issue, or CMS.

  • Check row and column counts.
  • Escape pipes inside cell values.
  • Use word and character counts for compact descriptions.

Use cleanup to improve public content quality

Text tools are not only for code. They help remove duplicated boilerplate, normalize page headings, check metadata length, and keep guide copy specific enough to avoid thin repeated pages.

  • Count titles and descriptions before publishing.
  • Diff repeated guide sections to find boilerplate.
  • Use slug generation to keep URL names readable.

Before copying

A short review loop for safer reuse

Case Converter

Convert text between lower, upper, title, camel, pascal, snake, and kebab case.

Text

Use cases

  • Normalize names for code, slugs, and labels.
  • Case Converter for text workflows

Common failure cases

  • Case Converter can still fail when the pasted input shape differs from Bob's multi tool.
  • The output should be reviewed in the target text workflow before reuse.
  • Browser-local processing does not make sensitive production data safe to paste.

Before copying

  • Compare the output against the original input before copying.
  • Remove secrets, customer data, and one-off environment values.
  • Continue with slug-generator if the result needs another validation step.

Examples

Common input

Normalize names for code, slugs, and labels.

Bob's multi tool

Typical output

Use this as a quick sanity check before copying results.

bobsMultiTool / bobs_multi_tool / bobs-multi-tool

FAQ

Does Case Converter upload my input?

No. This tool runs in your browser unless the privacy badge explicitly says a server route is required.

Can I use this for production secrets?

Avoid pasting sensitive production data into any website. Prefer local test data or redacted payloads.

Slug Generator

Create URL-safe slugs from titles, labels, and filenames.

Text

Use cases

  • Convert readable titles into stable route slugs.
  • Slug Generator for text workflows

Common failure cases

  • Slug Generator can still fail when the pasted input shape differs from Bob's Multi Tool: JSON Formatter.
  • The output should be reviewed in the target text workflow before reuse.
  • Browser-local processing does not make sensitive production data safe to paste.

Before copying

  • Compare the output against the original input before copying.
  • Remove secrets, customer data, and one-off environment values.
  • Continue with case-converter if the result needs another validation step.

Examples

Common input

Convert readable titles into stable route slugs.

Bob's Multi Tool: JSON Formatter

Typical output

Use this as a quick sanity check before copying results.

bobs-multi-tool-json-formatter

FAQ

Does Slug Generator upload my input?

No. This tool runs in your browser unless the privacy badge explicitly says a server route is required.

Can I use this for production secrets?

Avoid pasting sensitive production data into any website. Prefer local test data or redacted payloads.

Text Sort and Dedupe

Sort lines, remove duplicates, trim blanks, and normalize pasted lists.

Text

Use cases

  • Clean pasted IDs, words, and newline-separated data.
  • Text Sort and Dedupe for text workflows

Common failure cases

  • Text Sort and Dedupe can still fail when the pasted input shape differs from beta alpha beta.
  • The output should be reviewed in the target text workflow before reuse.
  • Browser-local processing does not make sensitive production data safe to paste.

Before copying

  • Compare the output against the original input before copying.
  • Remove secrets, customer data, and one-off environment values.
  • Continue with case-converter if the result needs another validation step.

Examples

Common input

Clean pasted IDs, words, and newline-separated data.

beta alpha beta

Typical output

Use this as a quick sanity check before copying results.

alpha beta

FAQ

Does Text Sort and Dedupe upload my input?

No. This tool runs in your browser unless the privacy badge explicitly says a server route is required.

Can I use this for production secrets?

Avoid pasting sensitive production data into any website. Prefer local test data or redacted payloads.

Word Character Counter

Count characters, words, lines, bytes, and estimated reading time.

Text

Use cases

  • Measure copy, textarea limits, and docs snippets.
  • Word Character Counter for text workflows

Common failure cases

  • Word Character Counter can still fail when the pasted input shape differs from Bob's Multi Tool.
  • The output should be reviewed in the target text workflow before reuse.
  • Browser-local processing does not make sensitive production data safe to paste.

Before copying

  • Compare the output against the original input before copying.
  • Remove secrets, customer data, and one-off environment values.
  • Continue with text-sort-dedupe if the result needs another validation step.

Examples

Common input

Measure copy, textarea limits, and docs snippets.

Bob's Multi Tool

Typical output

Use this as a quick sanity check before copying results.

3 words, 16 characters

FAQ

Does Word Character Counter upload my input?

No. This tool runs in your browser unless the privacy badge explicitly says a server route is required.

Can I use this for production secrets?

Avoid pasting sensitive production data into any website. Prefer local test data or redacted payloads.

Text cleanup workflow | bobob.app