Text Pipeline Builder

Text Pipeline Builder | Online Free Tool | Elysia Tools

Tool usage guide

Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Category: Text Processing
Input types: textarea
Output type: json
Sample coverage: 4
API ready: Yes

Overview

Text Pipeline Builder runs a version 1 JSON recipe on pasted text and returns the transformed result with a normalized recipe, per-step statistics, timing, character changes, and bounded line diffs.

When to use

Clean leading and trailing spaces, inconsistent whitespace, and empty lines.
Replace text with literal strings or regular expressions using repeatable rules.
Sort, filter, deduplicate, or change the case of text lines while reviewing each step.

How it works

1Paste the source content into the Text Input field.
2Enter a version 1 JSON recipe with the required transformation steps.
3The local deterministic engine applies the steps in order.
4Review the final text, normalized recipe, step statistics, timing, character changes, and bounded line diffs in the JSON result.

Use cases

Standardize pasted lists by trimming, normalizing whitespace, removing empty lines, and sorting entries.
Clean imported text by replacing unwanted terms or patterns with literal or regular-expression rules.
Create auditable text transformations with step-by-step diffs and character statistics.

Examples

1. Clean, deduplicate, and sort a list

Content editor

Background

An editor receives a short list with extra spaces, duplicate entries, and inconsistent capitalization.

Problem

The list needs consistent spacing, case-insensitive deduplication, and alphabetical ordering.

How to use

Paste the list into Text Input and provide a version 1 recipe with trim, whitespace normalization, case-insensitive unique lines, and ascending case-insensitive sorting.

{"version":1,"steps":[{"op":"trim"},{"op":"normalizeWhitespace","preserveLines":true},{"op":"uniqueLines","caseSensitive":false},{"op":"sortLines","order":"ascending","caseSensitive":false}]}

Outcome

The result contains a cleaned final list plus normalized recipe data, per-step changes, timing, character statistics, and bounded line diffs.

2. Replace sensitive patterns in text

QA analyst

Background

A tester needs to transform sample text by replacing a repeated pattern before reviewing the output.

Problem

The same format appears in multiple lines and should be changed consistently with one regex replacement step.

How to use

FAQ

What input does the tool require?

It requires pasted text and a version 1 JSON recipe.

Which text operations are supported?

Supported operations include trimming, whitespace cleanup, replacement, regex replacement, line filtering, sorting, deduplication, case conversion, and empty-line removal.

Does the tool apply steps in sequence?

Yes. The recipe steps run in the order listed in the JSON recipe.

What does the result contain?

The JSON result includes final text, a normalized recipe, per-step statistics, timing, character changes, and bounded line diffs.

Is the transformation deterministic?

Yes. The tool uses a local deterministic engine to apply the recipe.

{"version":1,"steps":[{"op":"regexReplace","pattern":"[0-9]+","replacement":"[NUMBER]"}]}

What this tool helps you do

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Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Overview

When to use

How it works

Use cases

Examples

1. Clean, deduplicate, and sort a list

2. Replace sensitive patterns in text

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