Case Study: a leading oil & gas company achieves 4x faster text extraction with teX.ai

Nested Tables & Machine Drawing Text Extraction for an & Oil & Gas Company

The customer, a leading oil and gas company, faced the challenge of processing hundreds of complex PDF documents containing engineering drawings and nested tables. Their manual extraction process was slow and labor-intensive, requiring significant human intervention to handle the five different document formats. They engaged teX.ai to automate the text extraction with a target of over 80% accuracy.

The solution from teX.ai leveraged machine learning models and OCR tools to automatically identify, classify, and extract data from the various document types, including chemical composition files and survey tables. This automated process resulted in text extraction that was four times faster and reduced the need for human intervention by over 80%. The quality of the overall process also increased by over 75%, significantly improving downstream analysis capabilities.