Nano PDF

Extract text from PDFs and generate concise summaries with OCR fallback.

577|62|Updated May 15, 2026

Search Tags:#automation #ocr #summarization #pdf #extraction #text

Ready to run

npx skills add https://github.com/agentic-in/elephant-agent --skill nano-pdf-agentic-in

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Nano PDF
Source: https://github.com/agentic-in/elephant-agent/tree/main/packages/skills/builtin_packages/productivity/nano-pdf
Command: npx skills add https://github.com/agentic-in/elephant-agent --skill nano-pdf-agentic-in

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Extract text from PDFs and produce concise summaries for quick review.

Core Features & Use Cases

Lightweight text extraction from PDF with OCR fallback for image-based content.
Generate concise summaries and highlight key sections for quick review.
Use case: quickly digest long reports or contracts and extract critical details.

Quick Start

Provide a PDF and request a text extraction followed by a concise summary.

Frequently Asked Questions about Nano PDF

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract text from a scanned PDF?▼

To extract text from a scanned PDF, an OCR fallback mechanism processes image-based content. This enables text retrieval from scanned documents like contracts and reports, converting image-based PDFs into accessible text for quick review.

Can I summarize a PDF and highlight key sections automatically?▼

Summarizing a PDF and highlighting key sections is supported through automated text extraction. The tool produces concise summaries from long reports and research papers, extracting critical details for quick review and downstream analysis.

Does PDF text extraction work with both contracts and research papers?▼

PDF text extraction works with contracts, reports, and research papers by applying lightweight workflows to text-based and image-based files. It uses OCR fallback for scanned content to ensure complete text capture across varied document types.

What is the best way to extract text from multiple PDFs for downstream analysis?▼

The best way to extract text from multiple PDFs for downstream analysis is using lightweight extraction workflows. This approach processes text-based and image-based documents, generating clear output summaries suitable for further data processing.

Are there copyright limitations when extracting and summarizing PDF content?▼

Copyright limitations apply when extracting and summarizing PDF content. The Skill enforces explicit guardrails on copyright limits during text extraction and summarization to ensure compliant usage of source documents and research papers.