peasytext

Pure Python text processing toolkit — 15 tools for case conversion, slug generation, word counting, line sorting, Base64/URL/HTML encoding, find & replace, deduplication, line numbering, pattern extraction, text diffing, Lorem Ipsum generation, JSON formatting, and text reversal. Zero dependencies.

Extracted from the client-side engines at peasytext.com, where all 15 text tools run entirely in the browser. This Python package provides the same functionality for server-side and CLI usage.

Try the interactive tools at peasytext.com — Text Tools, Text Glossary, Text Formats

Table of Contents

• Install
• Quick Start
• What You Can Do
  • Case Conversion
  • Slug Generation
  • Text Statistics
  • Line Sorting
  • Base64 Encoding
  • URL & HTML Encoding
  • Find & Replace
  • Deduplication
  • Line Numbers
  • Pattern Extraction
  • Text Diffing
  • Lorem Ipsum
  • JSON Formatting
  • Text Reversal
• Command-Line Interface
• MCP Server (Claude, Cursor, Windsurf)
• REST API Client
• API Reference
• Learn More About Text Processing
• Also Available
• Peasy Developer Tools
• License

Install

pip install peasytext              # Core (zero dependencies)
pip install "peasytext[cli]"       # + CLI (typer, rich)
pip install "peasytext[mcp]"       # + MCP server
pip install "peasytext[api]"       # + REST API client (httpx)
pip install "peasytext[all]"       # Everything

Quick Start

from peasytext import to_case, slugify, count_text, extract

# Convert text between 13 case formats
print(to_case("hello world", "pascal"))     # "HelloWorld"
print(to_case("hello world", "snake"))      # "hello_world"
print(to_case("hello world", "constant"))   # "HELLO_WORLD"

# Generate URL-friendly slugs
print(slugify("Crème brûlée recipe!"))      # "creme-brulee-recipe"

# Count words, sentences, reading time
stats = count_text("Hello world. How are you today?")
print(stats.words)          # 6
print(stats.sentences)      # 2
print(stats.reading_time)   # "< 1 min"

# Extract patterns from text
emails = extract("Contact info@example.com or admin@test.org", "emails")
print(emails)  # ["info@example.com", "admin@test.org"]

What You Can Do

Case Conversion

Convert text between 13 case formats — from basic upper/lower to programming conventions like camelCase, snake_case, and CONSTANT_CASE.

Case	Example	Use Case
upper	HELLO WORLD	Constants, emphasis
lower	hello world	Normalization
title	Hello World	Headings, titles
sentence	Hello world	Natural text
camel	helloWorld	JavaScript variables
pascal	HelloWorld	Class names
snake	hello_world	Python variables
kebab	hello-world	CSS classes, URLs
constant	HELLO_WORLD	Constants, env vars
dot	hello.world	Package names
path	hello/world	File paths
alternating	hElLo WoRlD	Sarcasm text
inverse	hELLO wORLD	Inversion

from peasytext import to_case

# Programming case conversions
print(to_case("user full name", "camel"))     # "userFullName"
print(to_case("user full name", "pascal"))    # "UserFullName"
print(to_case("user full name", "snake"))     # "user_full_name"
print(to_case("user full name", "constant"))  # "USER_FULL_NAME"

Learn more: Text Case Converter · Convert Case and Clean Text Guide · What is Case Conversion?

Slug Generation

Convert any text to a URL-friendly slug. Handles Unicode, diacritics, and special characters. Essential for SEO-friendly URLs, file naming, and database keys.

from peasytext import slugify

# Basic slugification with diacritic handling
print(slugify("Crème Brûlée — The Recipe"))  # "creme-brulee-the-recipe"
print(slugify("München Straße"))               # "munchen-strasse"

# Custom separator and length limit
print(slugify("Hello World", separator="_"))           # "hello_world"
print(slugify("A very long title here", max_length=10))  # "a-very"

Learn more: Slug Generator · Slug Generation and URL-Safe Strings · What is a Slug?

Text Statistics

Count characters, words, sentences, paragraphs, and lines. Also estimates reading time — useful for blog posts, content management, and SEO metadata.

from peasytext import count_text

stats = count_text("Hello world. This is a test.\n\nNew paragraph here.")
print(f"Words: {stats.words}")                # 9
print(f"Sentences: {stats.sentences}")        # 3
print(f"Paragraphs: {stats.paragraphs}")      # 2
print(f"Reading time: {stats.reading_time}")   # "< 1 min"

Learn more: Text Counter · Word Character Line Counting Best Practices · What is Word Count?

Line Sorting

Sort lines alphabetically, by length, numerically, or reverse order.

from peasytext import sort_lines

text = "banana\napple\ncherry"
print(sort_lines(text, "alpha"))        # apple\nbanana\ncherry
print(sort_lines(text, "length"))       # apple\nbanana\ncherry
print(sort_lines("10\n2\n30", "numeric"))  # 2\n10\n30

Learn more: Sort Lines Tool · How to Sort Text Lines · What is Line Ending?

Base64 Encoding

Encode and decode Base64 with full UTF-8 support — handles emoji, CJK characters, and all Unicode.

from peasytext import base64_encode, base64_decode

encoded = base64_encode("Hello, 世界! 🌍")
print(encoded)                    # "SGVsbG8sIOS4lueVjCEg8J+MjQ=="
print(base64_decode(encoded))     # "Hello, 世界! 🌍"

Learn more: Base64 Encode Decode Tool · Base64 Encoding Guide · How to Encode Decode Base64

URL & HTML Encoding

from peasytext import url_encode, url_decode, html_encode, html_decode

# URL encoding
print(url_encode("hello world"))   # "hello%20world"
print(url_decode("hello%20world")) # "hello world"

# HTML entity encoding — prevent XSS
print(html_encode('<script>alert("xss")</script>'))
# "&lt;script&gt;alert(&quot;xss&quot;)&lt;/script&gt;"

Learn more: URL Encode Decode Tool · HTML Entity Encoder · What is an Escape Character?

Find & Replace

Plain text and regex find & replace with case sensitivity options.

from peasytext import find_replace

print(find_replace("Hello World", "world", "Python", case_sensitive=False))
# "Hello Python"

# Regex mode — replace all numbers
print(find_replace("abc123def456", r"\d+", "NUM", regex=True))
# "abcNUMdefNUM"

Learn more: Find and Replace Tool · How to Find and Replace with Regex · Regex Cheat Sheet Essential Patterns

Deduplication

Remove duplicate lines while preserving original order.

from peasytext import dedupe_lines

print(dedupe_lines("apple\nbanana\napple\ncherry\nbanana"))
# "apple\nbanana\ncherry"

Learn more: Remove Duplicate Lines Tool · How to Remove Duplicate Lines

Line Numbers

Add or remove line numbers from text — useful for code snippets and documentation.

from peasytext import add_line_numbers, remove_line_numbers

print(add_line_numbers("first\nsecond\nthird"))
# "1: first\n2: second\n3: third"

Learn more: Line Numbers Tool · What is Plain Text? · What is Whitespace?

Pattern Extraction

Extract emails, URLs, phone numbers, IP addresses, hashtags, and @mentions from any text.

from peasytext import extract

text = "Contact info@example.com, visit https://example.com, call +1-555-0123"
print(extract(text, "emails"))   # ["info@example.com"]
print(extract(text, "urls"))     # ["https://example.com,"]
print(extract(text, "phones"))   # ["+1-555-0123"]

Learn more: Text Extractor Tool · How to Extract Data from Text · Regex Practical Guide

Text Diffing

Compare two texts line by line and measure similarity.

from peasytext import diff_texts

result = diff_texts("apple\nbanana\ncherry", "banana\ncherry\ndate")
print(result.added)       # ["date"]
print(result.removed)     # ["apple"]
print(result.similarity)  # 0.6667

Learn more: Text Diff Tool · What is Text Diff? · What is String Distance?

Lorem Ipsum

Generate placeholder text by words, sentences, or paragraphs.

from peasytext import lorem_ipsum

print(lorem_ipsum(10, "words"))       # 10 lorem ipsum words
print(lorem_ipsum(3, "paragraphs"))   # 3 paragraphs of text

Learn more: Lorem Ipsum Generator · Lorem Ipsum Placeholder Text Guide · What is Lorem Ipsum?

JSON Formatting

Format, minify, and validate JSON strings.

from peasytext import json_format, json_minify, json_validate

print(json_format('{"a":1,"b":2}'))   # Pretty-printed JSON
print(json_minify('{ "a": 1 }'))      # {"a":1}
print(json_validate('{"key": "ok"}')) # True

Learn more: JSON Formatter Tool · What is Text Encoding? · JSON Format Reference

Text Reversal

Reverse text by characters, words, or lines.

from peasytext import reverse_text

print(reverse_text("hello", "characters"))      # "olleh"
print(reverse_text("hello world", "words"))     # "world hello"
print(reverse_text("a\nb\nc", "lines"))         # "c\nb\na"

Learn more: Reverse Text Tool · What is ROT13? · What is Unicode?

Command-Line Interface

pip install "peasytext[cli]"

# Case conversion
peasytext case "hello world" --target pascal   # HelloWorld

# Slug generation
peasytext slug "Hello World!"                  # hello-world

# Word counter
peasytext count "Hello world. How are you?"

# Sort lines (pipe from stdin)
echo -e "banana\napple\ncherry" | peasytext sort

# Base64 encode/decode
peasytext base64 encode "Hello"                # SGVsbG8=
peasytext base64 decode "SGVsbG8="             # Hello

# Extract patterns
echo "Email me at test@example.com" | peasytext extract emails

# Generate Lorem Ipsum
peasytext lorem 3 --unit paragraphs

# JSON formatting
echo '{"a":1}' | peasytext json format

MCP Server (Claude, Cursor, Windsurf)

pip install "peasytext[mcp]"

# Run the MCP server
uvx --from "peasytext[mcp]" python -m peasytext.mcp_server

Claude Desktop (claude_desktop_config.json):

{
    "mcpServers": {
        "peasytext": {
            "command": "uvx",
            "args": ["--from", "peasytext[mcp]", "python", "-m", "peasytext.mcp_server"]
        }
    }
}

15 MCP tools available: text_case, text_slug, text_count, text_sort, text_base64, text_url_encode, text_html_entities, text_find_replace, text_dedupe, text_line_numbers, text_extract, text_lorem, text_reverse, text_json, text_diff.

REST API Client

pip install "peasytext[api]"

from peasytext.api import PeasyTextAPI

api = PeasyTextAPI()
tools = api.list_tools()
glossary = api.search("encoding")
spec = api.openapi_spec()

# Search the text processing glossary for technical terms
terms = api.search_glossary("unicode")
for term in terms:
    print(f"{term['term']}: {term['definition']}")

# Browse text processing guides and tutorials
guides = api.list_guides()
for guide in guides:
    print(f"{guide['title']}: {guide['url']}")

# Discover use cases for text operations
use_cases = api.list_use_cases()
for uc in use_cases:
    print(f"{uc['title']}: {uc['description']}")

API Reference

Function	Description
to_case(text, target)	Convert between 13 case formats
slugify(text, **opts)	Generate URL-friendly slug
count_text(text, **opts)	Count words, chars, sentences, reading time
sort_lines(text, mode)	Sort lines by alpha, length, numeric, etc.
base64_encode(text)	Encode text to Base64
base64_decode(text)	Decode Base64 to text
url_encode(text, **opts)	URL-encode text
url_decode(text)	URL-decode text
html_encode(text)	Encode HTML entities
html_decode(text)	Decode HTML entities
find_replace(text, find, replace, **opts)	Find and replace with regex support
dedupe_lines(text, **opts)	Remove duplicate lines
add_line_numbers(text, **opts)	Add line numbers
remove_line_numbers(text)	Remove line numbers
extract(text, pattern_type)	Extract emails, URLs, phones, etc.
diff_texts(text_a, text_b)	Compare two texts
lorem_ipsum(count, unit)	Generate Lorem Ipsum
reverse_text(text, mode)	Reverse by chars, words, or lines
json_format(text, **opts)	Pretty-print JSON
json_minify(text)	Minify JSON
json_validate(text)	Validate JSON

Learn More About Text Processing

• Tools: Text Counter · Text Case Converter · Sort Lines · Lorem Ipsum Generator · Slug Generator · Find and Replace · Remove Duplicate Lines · Base64 Encode Decode · URL Encode Decode · JSON Formatter · HTML Entity Encoder · Reverse Text · Line Numbers · Text Diff · Text Extractor · All Tools
• Guides: Text Encoding UTF-8 ASCII · Regex Cheat Sheet Essential Patterns · Lorem Ipsum Placeholder Text Guide · Regex Practical Guide · Base64 Encoding Guide · Convert Case and Clean Text · Word Character Line Counting Best Practices · How to Find and Replace with Regex · Slug Generation URL-Safe Strings · Troubleshooting Line Endings CRLF LF · Troubleshooting Character Encoding · All Guides
• Glossary: ASCII · BOM · Case Conversion · Diacritics · Escape Character · Line Ending · Lorem Ipsum · Normalization · Plain Text · Slug · Text Encoding · Unicode · Whitespace · Word Count · All Terms
• Formats: TXT · CSV · JSON · HTML · Markdown · XML · YAML · All Formats
• API: REST API Docs · OpenAPI Spec

Also Available

Platform	Install	Link
TypeScript / npm	npm install peasytext	npm
Go	go get github.com/peasytools/peasytext-go	pkg.go.dev
Rust	cargo add peasytext	crates.io
Ruby	gem install peasytext	RubyGems
MCP	uvx --from "peasytext[mcp]" python -m peasytext.mcp_server	Config

Peasy Developer Tools

Part of the Peasy open-source developer tools ecosystem.

Package	PyPI	npm	Description
peasy-pdf	PyPI	npm	PDF merge, split, compress, 21 operations — peasypdf.com
peasy-image	PyPI	npm	Image resize, crop, convert, compress, 20 operations — peasyimage.com
peasytext	PyPI	npm	Text case, slugify, word count, encoding — peasytext.com
peasy-css	PyPI	npm	CSS gradients, shadows, flexbox, grid generators — peasycss.com
peasy-compress	PyPI	npm	ZIP, TAR, gzip, brotli archive operations — peasytools.com
peasy-document	PyPI	npm	Markdown, HTML, CSV, JSON conversions — peasyformats.com
peasy-audio	PyPI	npm	Audio convert, trim, merge, normalize — peasyaudio.com
peasy-video	PyPI	npm	Video trim, resize, GIF conversion — peasyvideo.com

License

MIT