Revolutionary Advances in Intelligent Forms Processing
Traditional OCR tools often suffer from merged cell recognition errors, broken forms across pages, etc. UnDatas.IO realizes three major breakthroughs through its original T-Layout algorithm:
- Structural understanding: Analyze cell topology relationships using GNN graph neural networks to accurately restore 10 levels of nested table headers
- semantic association: Automatically establishes continuity across pages of tables to maintain logical integrity of data
- Intelligent Completion: Probabilistic completion of fuzzy characters in scanned documents with error correction accuracy of 92%
Actual test data show that when processing financial statements:
- Average field accuracy for standard OCR: 78%
- Field accuracy for UnDatas.IO: 95%+
- Reduced error rate by 87%, especially in merged cell recognition
The platform also supports direct output of extracted tables as Pandas DataFrames, greatly simplifying the subsequent data analysis process.
This answer comes from the articleUnDatas.IO: API service for accurate parsing of various types of unstructured data (paid)The
May not be reproduced without permission:AI productivity tools " What is UnDatas.IO's technological breakthrough in form data extraction compared to ordinary OCR tools?
