Introduction to Document Parse

📌 Table of Contents

• What is Upstage Document Parse?

• Why Document Parse?

• Eyes of LLM

• Document Parse Business Use Cases

• Demo: Try DP in the Upstage Playground

Upstage’s Document AI technology goes beyond traditional OCR, offering advanced document processing capabilities.

In particular, Upstage Document Parse (DP) analyzes document layouts to enable more accurate document understanding and information extraction.

1. What is Upstage Document Parse?

LLMs reference external document sources to enhance accuracy but cannot directly read and process original document files. To solve this, documents must be converted into an LLM-readable format (HTML, Markdown).

Document Parse (DP) is a technology that converts complex documents into structured HTML text data.

While traditional OCR focuses solely on text recognition within images, DP considers document layout to provide a more sophisticated analysis and structured data output.

2. Why Upstage Document Parse?

✨ Unique strength of the Upstage DP: Recognition of various document layers

Unlike simple text extraction, Upstage Document Parse recognizes documents at a layout level, enabling more profound and accurate information analysis.

• Table Recognition

  • Accurately recognizes complex tables, including merged cells and hierarchical structures.

  • Ensures data integrity, allowing LLMs to interpret table structures correctly.

• Equation Recognition

  • Identifies mathematical equations to help LLMs understand mathematical relationships and calculations.

• Chart Recognition

  • Converts chart data into structured formats that LLMs can interpret.

  • Supports various chart types, including bar, line, and pie charts.

⚡ Fast and Accurate Performance

• High-Speed Processing

  • Processes 100-page documents in under one minute.

  • Up to 10x faster than competitors.

• Superior Accuracy

  • It outperforms competitors with a TEDS score of 93.48 and a TEDS-S score of 94.16, offering at least 5% higher accuracy.

  • Excels in recognizing complex tables and charts.

3. Eyes of LLM: Why Convert to HTML?

LLMs perform better when provided with structured document data.

📚 1. To Preserve Document Structure

Original documents contain various structural elements, such as text, tables, charts, equations, and images.

LLMs process information more effectively when document structures are maintained. Plain text formats do not preserve these structures, making analysis difficult.

HTML uses tags like <h1>, <figure>, and <table> to clearly define

⚙️ 2. To Enhance LLM Accuracy and Efficiency

LLMs analyze structured data more quickly and accurately when content is well-organized.

HTML formatting helps LLMs distinguish headings, body text, tables, and charts, improving accuracy in summary, analysis, and Q&A.

🚀 3. To Prevent Information Loss in Complex Documents

When converted to plain text, financial reports, research papers, and business documents often lose critical structural details.

HTML formatting preserves tables, charts, and equations, enabling LLMs to interpret data more accurately.

💡 Eyes of LLM

Upstage Document Parse acts as the "eyes of LLMs," providing structured data for precise analysis.

For instance, converting Apple’s financial statements into HTML allows an LLM to extract revenue figures when queried correctly.

DP ensures that LLMs recognize document layouts, including complex tables and charts, facilitating automated document analysis and data extraction.

This structured data workflow is known as RAG (Retrieval-Augmented Generation).

What is RAG?

RAG enables LLMs to reference external data for improved accuracy.

Since LLMs do not store all information, providing them with relevant external data enhances their ability to generate precise responses.

4. Document Parse Business Use Cases

1/ 🏥 Insurance: Automating Claim Document Processing

• Industry: Insurance

• Problem:

  • Processes hundreds of medical claims and accident reports daily with varying formats.

  • Traditional OCR struggles with complex medical terminology and unstructured formats.

• Solution:

  • Combining Upstage Document Parse with Solar LLM allows precise recognition and classification of diverse document formats.

  • Enhances data extraction accuracy and enables quick, AI-powered document search.

2/ 🏗️ Construction: Global Bid Document RAG Pipeline

• Industry: Construction

• Problem:

  • Receives bid invitation documents in multiple languages scattered across numerous folders.

  • Manual review struggles to extract key bid details efficiently.

• Solution:

  • Upstage DP processes large-scale bid documents, extracting key sections and structuring data.

  • Enables RAG-based chatbot queries for quick access to bid-related information.

  • Improves search indexing, ensuring efficient bid document analysis.

3/ 👗 E-commerce: Automating Product Data Processing for Global Expansion

• Industry: Fashion E-commerce

• Problem:

  • Product information is stored as long vertical images, making OCR-based recognition challenging.

  • Difficulty supporting multiple languages (Korean, English, Japanese), limiting global expansion.

• Solution:

  • Upstage DP enhances OCR accuracy by segmenting image regions.

  • Solar LLM extracts and translates product attributes, improving search and filtering capabilities.

  • Organized multilingual product data facilitates global sales.

4. 🛠️ Demo: Try DP in the Upstage Playground

Experience Upstage Document Parse’s advanced features in real-time through the Upstage Playground.

Upload different document types to test automated document analysis.

What is Upstage Console Playground?

• A real-time product testing environment provided by Upstage.

• Enables users to upload and experiment with Document Parse technology.

• Designed for both developers and non-developers.

📌 Hands-On Goals

• Access Playground and test Document Parse capabilities.

• Upload documents and review analysis results.

• Experiment with various document types and complex layouts.

💡 How to Use

1. Access the Upstage Playground

   Try the Playground Now
2. Upload a Document

   • Upload a PDF, image, or other document for analysis.

3. Review and Compare Results

   • View analyzed results and download structured data.

Wrap Up

This article explored Upstage Document Parse (DP)—its definition, advantages, use cases, and business applications.

🔹 What is Upstage Document Parse?: A technology that recognizes complex document layouts and converts them into LLM-readable formats.

🔹 Why DP?: Accurately analyzes and processes complex tables, equations, and charts at high speed, offering superior accuracy and processing efficiency compared to competitors.

🔹 Use Cases: An essential technology for AI-driven tasks such as document-based VQA and RAG.

🔹 Business Applications: Optimized for automating complex unstructured data processing, such as insurance claim automation.

💡 Upstage DP maximizes LLM efficiency in complex document processing and is a critical tool for AI-powered workflow automation.

YoungHoon Jeon | AI Edu | Upstage