isaacus-dev/semchunk

A fast, lightweight and easy-to-use Python library for splitting text into semantically meaningful chunks.

71
/ 100
Verified

This tool helps you break down long documents or articles into smaller, easier-to-manage sections while keeping related ideas together. You feed it your text, and it gives you back a list of shorter, semantically coherent chunks. It's designed for anyone working with large volumes of text who needs to process it in smaller, meaningful pieces, like researchers, content analysts, or knowledge managers.

588 stars. Used by 2 other packages. Actively maintained with 9 commits in the last 30 days. Available on PyPI.

Use this if you need to split large texts into smaller, contextually relevant segments for easier analysis, summarization, or to prepare them for other AI applications.

Not ideal if you need to split text strictly by character count or pre-defined markers rather than by the meaning of the content.

content-analysis document-processing knowledge-management information-extraction text-preparation
Maintenance 20 / 25
Adoption 12 / 25
Maturity 25 / 25
Community 14 / 25

How are scores calculated?

Stars

588

Forks

38

Language

Python

License

MIT

Last pushed

Mar 15, 2026

Commits (30d)

9

Dependencies

2

Reverse dependents

2

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