Introducing Semantic Table Extract (ML-Backed Data Parsing for Financial Services)
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Semantic Table Extract (STE) is a ML-backed data parsing solution purpose built for the financial services sector. We offer a SaaS-based solution that will extract all tables from any PDF
document into a standard Excel or JSON format for easy importing into your systems.
Having been developed to handle complex table identification where accuracy is critical, we service documents such as Financial Accounts, Annual Reports, Company Filings, ISDA CSAs, Loan Applications, Prospectuses, et al.
Semantic Table Extract uses Machine Learning to discover any tables within the document and
intelligently identifies how the tables are constructed. This allows the tables to be parsed into
a structured format for importing into your systems, even when there is significant hierarchy in the ontology to detect.
STE has tested to be more reliable in accuracy statistics than AWS / Amazon Textract.
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