doc-reader

Extract text from PDFs with OCR for scanned pages.

Updated Apr 12, 2026
One-click install
npx skills add https://github.com/DaddyElonMusk69/motis-agent --skill doc-reader-daddyelonmusk69
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: doc-reader
Source: https://github.com/DaddyElonMusk69/motis-agent/tree/main/skills/finance/doc-reader
Command: npx skills add https://github.com/DaddyElonMusk69/motis-agent --skill doc-reader-daddyelonmusk69

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Read PDFs and extract text, applying OCR to image-based pages to ensure content is searchable.

Core Features & Use Cases

  • OCR-enabled text extraction: process both native text PDFs and scanned documents.
  • Multilingual support: OCR for Chinese and English text.
  • Use Case: Analyze research papers, annual reports, and contracts for quick data extraction and summarization.

Quick Start

Call read_document on a PDF file to extract text and OCR pages as needed.

Frequently Asked Questions about doc-reader

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

FAQPage Schema
How do I extract text from a scanned PDF that doesn't have a searchable text layer?

To extract text from a scanned PDF, you need OCR processing to recognize text within images. This Skill applies OCR to image-based pages, converting them into searchable and extractable text content automatically.

Does PDF text extraction work for both native text documents and image-based scanned pages?

Yes, PDF text extraction works for both native text-layer documents and scanned pages. It directly reads text from digital PDFs while applying OCR to image-based pages to ensure all content is searchable and structured.

Can I perform OCR on PDF documents containing Chinese and English text?

Yes, you can perform OCR on PDF documents containing Chinese and English text. The OCR processing provides multilingual support to accurately recognize and extract text from scanned pages in both languages.

What is the best way to automate text extraction from annual reports and academic papers?

The best way to automate text extraction from annual reports and academic papers is using a read_document tool. It processes PDF files, applies OCR to scanned pages as needed, and returns structured text results for quick data analysis.

What types of PDF documents are supported for searchable text extraction?

Searchable text extraction supports academic papers, annual reports, contracts, and other PDFs. It handles both native text-layer PDFs and scanned documents by applying OCR to ensure all extracted content is searchable and structured.