From the source
Understanding tables is essential in document processing, yet many solutions struggle with real-world complexities such as merged cells, multi-section layouts, and hierarchical structures, leading to inaccurate results.
Upstage’s Document Parse overcomes these challenges with advanced table structure recognition capabilities.
Below, we explore key difficulties and how Document Parse addresses them effectively.
Feature Comparison The table below compares how different products perform in extracting complex table structures.
Table Extraction in Real-World Scenarios To evaluate real-world performance, we tested each solution on documents containing tables with varied complexity —including merged cells, multi-section layouts, structured formatting, and irregular table designs.
Example 1: Merged cell recognition & Table formatting preservation Why it matters Extracting tables with merged cells is a major challenge in document parsing.
Many models fail to maintain row/column relationships, leading to misaligned data and broken structures.
Goal Evaluate how different solutions handle merged cells while preserving table formatting.
Upstage Document Parse result …
