Text Splitter

A text splitter divides large text documents into smaller, more manageable chunks. This is useful for processing text with AI models that have token limits, breaking down content for easier reading, creating email or SMS segments, and preparing text for analysis or translation tasks.

The tool offers four splitting methods: 1) Characters - splits by exact character count, 2) Words - splits by word count while preserving word boundaries, 3) Sentences - splits by sentence boundaries using punctuation marks, and 4) Lines - splits by line breaks. Each method is suited for different use cases.

Overlap allows chunks to share some content to maintain context between segments. For example, with 100-character chunks and 20-character overlap, the end of chunk 1 will be repeated at the beginning of chunk 2. This is particularly useful for AI processing where context matters across chunks.

When enabled, the tool tries to break chunks at word boundaries rather than cutting words in half. If a word boundary is found within 80% of the target chunk size, the chunk will end at that boundary. This ensures readability while staying close to the desired character count.

For AI models like GPT-3.5/4: 2000-4000 characters. For social media posts: 280 characters (Twitter) or 2200 characters (LinkedIn). For SMS messages: 160 characters. For email subject lines: 50-60 characters. For readability: 500-1000 characters per chunk.

Sentence splitting identifies sentence boundaries using punctuation marks (periods, exclamation marks, question marks) followed by whitespace. The tool then groups the specified number of sentences into each chunk, preserving the natural flow of the text.

Yes, you can copy all chunks to your clipboard or download them as a text file using the buttons above the results. Each chunk is clearly labeled with its number and separated for easy identification. Individual chunks can also be copied separately.

For each chunk, the tool displays the chunk number, character count, and word count. This helps you verify that chunks meet your requirements and understand the distribution of content across chunks.

For AI processing, use 10-20% overlap to maintain context. For example, with 1000-character chunks, use 100-200 character overlap. This ensures important context isn't lost between chunks while avoiding excessive redundancy that might confuse the AI model.

If your text is shorter than the specified chunk size, the entire text will be returned as a single chunk. The tool will not create empty chunks or pad the text. This ensures you always get meaningful, non-empty chunks from your input text.

Yes, the tool handles Unicode characters, special symbols, and text in different languages. Character counting is accurate for all Unicode characters. However, word splitting may work best with languages that use spaces as word separators (like English, French, German, etc.).

The tool can handle large amounts of text, but performance may vary based on your browser and device. For very large documents (over 1MB), consider splitting them into smaller sections first. All processing happens in your browser, so your text remains private and secure.