bytesagain-doc-summarizer

Summarize, analyze, and extract insights from text documents. Supports extractive summarization, keyword extraction, readability stats, outline detection, and document comparison — all without external APIs.

Usage

bytesagain-doc-summarizer summary <file>
bytesagain-doc-summarizer bullets <file>
bytesagain-doc-summarizer keywords <file>
bytesagain-doc-summarizer stats <file>
bytesagain-doc-summarizer outline <file>
bytesagain-doc-summarizer compare <file1> <file2>

Commands

• summary — Extract 3-5 key sentences as an extractive summary
• bullets — Generate ranked bullet points from most important sentences
• keywords — Extract and rank top 20 keywords with frequency chart
• stats — Word count, sentence count, reading time, and text metrics
• outline — Detect document structure from Markdown headers or numbered sections
• compare — Compare vocabulary overlap and unique terms between two documents

Examples

bytesagain-doc-summarizer summary report.txt
bytesagain-doc-summarizer bullets meeting-notes.md
bytesagain-doc-summarizer keywords article.txt
bytesagain-doc-summarizer stats essay.md
bytesagain-doc-summarizer outline documentation.md
bytesagain-doc-summarizer compare v1.txt v2.txt

Requirements

• bash
• python3

When to Use

Use when you need to quickly digest long documents, extract key points from reports, analyze text metrics, or compare two document versions for content differences.