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hit-paper-helper

Extract and format academic DOCX documents with formulas, images, and headers.

1|Updated Mar 16, 2026
Search Tags:#AI#parsing#docx#style analysis#thesis#automatic formatting
One-click install
npx skills add https://github.com/ganfabo123-cmyk/docx_manager --skill hit-paper-helper
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hit-paper-helper
Source: https://github.com/ganfabo123-cmyk/docx_manager/tree/main
Command: npx skills add https://github.com/ganfabo123-cmyk/docx_manager --skill hit-paper-helper

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python-docx, easyocr, flask, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the tedious and complex task of preparing structured academic documents by providing automated document parsing, style analysis, and formatting tools.

Core Features & Use Cases

  • Document Parsing: Extracts text, tables, formulas, images, headers, footers, and metadata from DOCX files.
  • Style Recognition & Classification: Uses AI to identify heading levels, references, and section boundaries.
  • Automated Formatting: Applies consistent styles, generates table of contents, and restores original layout, significantly reducing manual effort in thesis formatting.
  • Use Case: Automate the conversion of unstructured student theses or technical reports into standardized, high-quality Word documents suitable for submission.

Quick Start

Use the hit-paper-helper to upload a DOCX file, analyze styles, and generate a properly formatted academic report document with a single command.

Frequently Asked Questions about hit-paper-helper

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

FAQPage Schema
How do I automate thesis formatting and style extraction from a DOCX file?▼

Automated thesis formatting extracts text, tables, formulas, and images from DOCX files using python-docx. AI identifies heading levels and references, applying consistent styles and generating a table of contents to restore the original layout.

Can AI classify heading levels and references in academic documents?▼

AI style recognition classifies heading levels, references, and section boundaries within academic documents. It identifies structural elements in unstructured text, simplifying manual document preparation and ensuring consistent style classification.

Does this document parsing approach work with complex formulas and images?▼

Document parsing handles complex formulas and images alongside text, tables, headers, and metadata. It uses EasyOCR for extraction and python-docx to process DOCX files, ensuring all academic content is captured and formatted.

What's the best way to convert unstructured student theses into standardized Word documents?▼

Converting unstructured student theses into standardized Word documents requires automated parsing and style analysis. AI applies consistent formatting, generates tables of contents, and restores layout structure, significantly reducing manual effort for submission.

Do I need Flask and python-docx to run automated academic document processing?▼

Flask, python-docx, and EasyOCR are required dependencies for server operations and document processing. Flask handles server operations, python-docx manages DOCX file extraction, and EasyOCR processes images within academic documents.

Why does automated document formatting fail to restore original layout in some DOCX files?▼

Automated formatting may struggle with highly irregular DOCX structures or malformed metadata. Style recognition depends on identifiable patterns in headings and references, so severely unstructured documents might require manual adjustment after processing.

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