Sentence Splitter

Split paragraphs into sentences by punctuation marks (period, question mark, exclamation mark, etc.)

Avoid splitting sentences at common abbreviations like Mr., Dr., etc.

Number each sentence for easy reference

Key Facts

Category
Text & Writing
Input Types
textarea, checkbox
Output Type
text
Sample Coverage
4
API Ready
Yes

Overview

The Sentence Splitter is a precise text processing tool designed to break down long paragraphs into individual sentences. By identifying standard punctuation marks like periods, question marks, and exclamation marks, it allows you to clean and organize your text for better readability, data analysis, or linguistic research.

When to Use

  • •Preparing large blocks of text for natural language processing or machine learning datasets.
  • •Formatting long documents into structured lists for easier proofreading and editing.
  • •Extracting specific sentences from complex paragraphs to improve content clarity.

How It Works

  • •Paste your text into the input field.
  • •Enable 'Handle Common Abbreviations' to prevent incorrect splits at titles like Dr. or Mr.
  • •Toggle 'Add Line Numbers' if you need to reference specific sentences by index.
  • •Click the process button to instantly generate your list of separated sentences.

Use Cases

Converting long-form articles into sentence-by-sentence lists for translation workflows.
Cleaning raw transcriptions into structured segments for easier review.
Preparing text data for readability analysis or word count statistics.

Examples

1. Preparing Data for Translation

Technical Translator
Background
A translator needs to break down a long technical manual into individual sentences to import them into a CAT tool.
Problem
Manually splitting hundreds of sentences is prone to error and time-consuming.
How to Use
Paste the manual text into the input area and ensure 'Handle Common Abbreviations' is checked to keep technical terms intact.
Outcome
The tool outputs a clean list of sentences, each on a new line, ready for immediate translation.

2. Structuring Research Notes

Academic Researcher
Background
A researcher has compiled several paragraphs of notes and needs to cite specific sentences in a paper.
Problem
It is difficult to reference specific points within a dense paragraph.
How to Use
Paste the notes into the tool and enable 'Add Line Numbers'.
Outcome
The researcher receives a numbered list of sentences, allowing them to easily cite 'Sentence 4' or 'Sentence 12' in their bibliography.

Try with Samples

text
Hex/Unicode Encoding Format Samples
Examples of hex (\xXX) and unicode (\uXXXX) escape sequence encoding formats
matched family text
text
Text Case Format Samples
Examples of different text case formats: camelCase, snake_case, kebab-case, PascalCase, and more
matched family text
text
Special Characters Samples
Sample text files with various special characters, punctuation, and symbols for testing non-alphanumeric character removal
matched family text
text
Regex Named Capture Groups
Collection of regex patterns using named capture groups for extracting structured data from text. Named groups make patterns more readable and maintainable by assigning meaningful names to captured portions.
matched family text
text

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FAQ

Does this tool support multiple languages?

Yes, the tool recognizes standard punctuation marks used in most languages to split sentences effectively.

What happens if I have abbreviations in my text?

If you enable the 'Handle Common Abbreviations' option, the tool will ignore periods following common titles to ensure sentences remain intact.

Can I add line numbers to the output?

Yes, simply check the 'Add Line Numbers' box before processing to include a numerical index for every sentence.

Is there a limit to the amount of text I can process?

The tool is designed to handle large paragraphs, though extremely long documents may be processed more efficiently in smaller chunks.

Does it split by commas or semicolons?

No, the tool specifically targets terminal punctuation marks like periods, question marks, and exclamation marks to ensure grammatical sentence integrity.

API Documentation

Request Endpoint

POST /en/api/tools/sentence-splitter

Request Parameters

Parameter Name Type Required Description
textInput textarea Yes -
handleAbbreviations checkbox No Avoid splitting sentences at common abbreviations like Mr., Dr., etc.
addLineNumbers checkbox No Number each sentence for easy reference

Response Format

{
  "result": "Processed text content",
  "error": "Error message (optional)",
  "message": "Notification message (optional)",
  "metadata": {
    "key": "value"
  }
}
Text: Text

AI MCP Documentation

Add this tool to your MCP server configuration: 

{
  "mcpServers": {
    "elysiatools-sentence-splitter": {
      "name": "sentence-splitter",
      "description": "Split paragraphs into sentences by punctuation marks (period, question mark, exclamation mark, etc.)",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=sentence-splitter",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

If you encounter any issues, please contact us at [email protected]