Semantic Text Chunker

Name: Semantic Text Chunker
Price: 49 USD
Author: AAIO Inc

v1.0 documentation

Split long content into meaningful semantic chunks — not arbitrary word counts. Uses sentence boundaries, heading breaks, and topic shifts.

URL inputFile inputXLSX export

text_chunker.py143 lines5 paramsPython 3.8+

Quick start

terminal

pip install -r requirements.txt

terminal

python text_chunker.py --url https://example.com/post --chunk-size 200 --output chunks.csv

terminal

python text_chunker.py --file article.txt --method semantic --output chunks.csv

Add --output report.xlsx to save results as a spreadsheet.

Parameters

Flag	Description
`--url`	URL to chunk
`--file`	Text/HTML file
`--method`	Method. Options: heading, sentence, semantic
`--chunk-size`	Target words per chunk. Default: 200 (integer)
`--output`	Save as CSV

help

python text_chunker.py --help

Use cases

Content quality audit

Writer evaluation

Client deliverable

Run across all your blog posts to score quality. Sort by score in the XLSX export, then prioritize rewrites for the lowest-scoring pages.

Before publishing freelance content, run this tool to check quality signals. Use specific metrics as concrete feedback for writers.

Include the analysis in your SEO audit report. Clients appreciate data-backed recommendations over subjective opinions.

Works well with

Combine with other tools for a complete workflow:

Dependencies

Requires: beautifulsoup4, pandas, requests. All included in requirements.txt.

One-time payment. Lifetime access. No monthly fees.
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AAIO Inc — aaioinc.com/tools/text_chunker/