skills.rest
innV0
innV0OFFICIAL
Explore all skills by this author →
GitHub

Source Processor

Extract structured information from PDFs, images, and plain text into metadata-enriched Markdown.

Updated May 12, 2025
Search Tags:#ocr#pdf#markdown#images#metadata#document-processing#extract
One-click install
npx skills add https://github.com/innV0/innV0.com --skill source-processor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Source Processor
Source: https://github.com/innV0/innV0.com/tree/main/public/iNNfo/app/0-1-1/skills/source-processor
Command: npx skills add https://github.com/innV0/innV0.com --skill source-processor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Source Processor automates the extraction and structuring of content from PDFs, images, and raw text, turning messy sources into clean, metadata-enhanced Markdown ready for archiving or publication.

Core Features & Use Cases

  • OCR & Extraction: Retrieve high-quality text from scanned documents and images.
  • Markdown Conversion: Convert extracted content into well-formed Markdown with preserved structure.
  • Metadata Enrichment: Automatically extract and tag title, author, date, and topic for easy search and discovery.
  • Use Case: Process scientific papers or reports to produce a repeatable, searchable knowledge base entry.

Quick Start

Process the provided document to produce a metadata-enriched Markdown file.

Frequently Asked Questions about Source Processor

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

FAQPage Schema
How do I convert scanned PDFs and images into structured Markdown?▼

To convert scanned PDFs and images into structured Markdown, apply OCR extraction to retrieve text, then format the output into well-formed Markdown with preserved document structure.

What is metadata enrichment for document processing?▼

Metadata enrichment for document processing automatically extracts and tags title, author, date, and topic from raw files, ensuring easy search and discovery within research or archiving systems.

How to extract text from images for a searchable knowledge base?▼

Extract text from images for a searchable knowledge base by running OCR pipelines on plain-text sources and scanned documents, followed by cleaning and structuring steps to produce metadata-enhanced entries.

Does the Source Processor work with plain-text sources and PDFs?▼

Yes, the Source Processor works with plain-text sources, PDFs, and images, converting raw document content into metadata-enriched Markdown suitable for archiving, research, and publication.

What is the best way to automate Markdown conversion for scientific papers?▼

The best way to automate Markdown conversion for scientific papers is using a processing pipeline that extracts content, applies cleaning steps, and tags metadata to produce repeatable knowledge base entries.

Are there limitations when extracting text from scanned documents?▼

Limitations when extracting text from scanned documents depend on OCR quality and the original image clarity; heavily distorted or low-resolution sources may require manual cleaning after the automated extraction pipeline.

Related Skills

Explore More Data & Analytics Skills→
hungthinh04hungthinh04

ocr-and-documents

Extract text from PDFs and scanned documents into Markdown or plain text.

Community
Intermediate
ttscoffttscoff
161

import-web-markdown-with-gather

Convert web URLs into Markdown notes with metadata.

Community
Intermediate
astoreyaiastoreyai
3

smart-screenshot

Capture screen regions and convert OCR text to Markdown notes.

Community
Advanced
anxiety135790anxiety135790

ocr-and-documents

Extract text from PDFs, scanned documents, and images into plain text or markdown.

Community
Advanced