docsumm-ai 0.1.0

Audience-aware document summarizer for PDF/DOCX/TXT — optimized for context retention, not token count.

docsumm-ai

One-line, opinionated document summarizer for PDFs, Word, or text — optimized for context retention, not token count.

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Why docsumm-ai?

Summarizing long documents shouldn’t mean losing meaning.
Most tools today truncate context just to fit into token limits — resulting in shallow, inaccurate summaries.

docsumm-ai was built to fix that.

We designed it for researchers, analysts, and AI developers who care about both fidelity and efficiency.
It automatically adapts to document structure, ensuring retention of key insights from text, Word, or PDFs — in a single line.

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What Makes It Different

✅ One-line summarize() — clean summaries with context retention
✅ Handles PDFs, DOCX, TXT — no format left behind
✅ Context-aware chunking — semantic segmentation, not blind splitting
✅ Adaptive compression — keeps the right level of detail per section
✅ CLI + Python API — works both in scripts and terminal
✅ Transparent JSON + Markdown output — reproducible and human-readable

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Installation

pip install docsumm-ai

## Quickstart
1. Summarize a text file
from docsumm_ai import summarize

summary = summarize("annual_report.txt", mode="concise")
print(summary)

2. Summarize a PDF (CLI)
docsumm summarize my_report.pdf --mode detailed --out summary.md

## Output Example

Input:

“The study explores the correlation between urban growth and environmental impact across 32 global cities…”

Output:

“Analyzes 32 cities showing urban expansion drives higher emissions; highlights need for adaptive policies.”

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## License

MIT License © 2025 Rohit Rajdev
Open for community collaboration and research integration.

🌐 Links

🔗 GitHub: https://github.com/RohitRajdev/docsumm-ai

✉️ Contact: rohitrajdev.com

🧠 Related project: dataprep-ai