Show HN: DocSumm AI – Source-linked summaries for long PDFs/URLs

5 hours ago 1

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

CI License Python Version


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.


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


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.” --- ## 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
Read Entire Article