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uencoder
PIPELINE Text Processing Beginner 2 steps

Remove URLs and Count Words

URL removal strips links from text. Word count gives the number of remaining words.

What it solves

Remove URLs from text then count remaining words.

Input → Output

Text Remove Urls input → Word Count output across 2 steps.

Runs in

1–2 minutes · fully local in your browser.

Before you start

  • Text with URLs

The pipeline

  1. 1 Text Remove Urls text-remove-urls

    Text Remove Urls — pure client-side tool. Privacy-first, no server round-trip.

  2. 2 Word Count word-count

    Count characters, words, lines, sentences, paragraphs, byte size, and estimate reading time. Free, private, and 100% client-side.

Open in Toolchain

Runs locally in your browser. The recipe defines the pipeline only — your input never leaves this tab.

▶Run this workflow

Enter your input below and click Run. All processing happens locally in your browser — nothing is uploaded.

Pipeline progress

  1. Text Remove Urlstext-remove-urls
  2. Word Countword-count

Sample input

Visit https://example.com today

Expected output

Characters: 12
Characters (no spaces): 10
Words: 2
Lines: 1
Sentences: 1
Paragraphs: 1
Bytes (UTF-8): 12
Reading time: ~1 min

This pair is executed against the real tools at build time (tests/unit/recipes.test.ts) — the expected output is verified, not illustrative.

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Tools used

Text Remove Urls
Text Remove Urls — pure client-side tool. Privacy-first, no server round-trip.
TOOL
Word Count
Count characters, words, lines, sentences, paragraphs, byte size, and estimate reading time. Free, private, and 100% client-side.
TOOL