I built a syllable dictionary using Python and web scraping

In plain words

This project is a syllable dictionary created with Python and web scraping techniques. It is designed for developers and linguists who need programmatic access to syllable breakdowns of words. The tool compiles syllable data by scraping web sources and organizes it into a searchable dictionary format, making it useful for natural language processing, text analysis, or linguistic research applications.

written from the facts on this page · September 2026

From the sources

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As most projects do, this one started small. I already had a way to preview Markdown files. Proofer also counts words, sentences, and paragraphs, then averages those values and estimates reading time. The script finds complex or overused phrases , and highlights repeated words, be verbs, and adverbs that make for weak writing, too. It also calculates the Gunning Fog Index, and scores for the Flesch-Kincaid reading ease and grade level tests. I built this script to give me a few more features than Marked , which I had used to proof my writing for years. It worked well, but runtime shot up if it had to process posts with more than a few hundred words. I set out to fix this, and ended up…from zacs.site

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