Mortgage packets come with varying document types such as tax filings, W-2’s, paystubs, and applications which often times need to be split and classified. Using Turium’s ML you can extract the most important information out of mortgage applications such as asset valuation, credit score or property value using a combination of Intelligent Optical Character Recognition (iOCR) and Natural Language Processing (NLP) to speed up response times to your customers.

Many insurance forms have varied layouts and formats which makes text extraction difficult. Using machine learning, you can extract relevant fields such as estimates for repairs, property address or case ID from sections of a document or classify documents with ease. By combining text extraction and NLP, you can process insurance forms such as insurance quotes, binders, ACORD forms, and claims forms faster, with higher accuracy.

Financial proxy statements, SEC filings (10-K, 8-K, 14A, 497K, etc.), KYC forms, tax documents and more come in dense text format or mixed with tables and text making it difficult to process using traditional methods. Using Turium’s ML, you can process various formats and file types using iOCR and NLP combined to extract table formats and derive entities from documents and use custom models to recognize the entities and classify documents.

Many healthcare forms have free form text, dense paragraphs, checkboxes, and tables. Using ML, extract the necessary data out of these documents regardless of layout. By using the forms and tables extraction API and Natural Language Processing, you can not only leverage text extraction but also extract medical terminology from medical forms to provide fast results to your patients and subscribers.

Bill of materials (BOM), Certificates of Analysis (COA), and Purchase Orders (PO) are a major part of a manufacturing operation, which today is usually manual and time consuming. Using Turium AI, you can now automate the process by extracting text from contracts, identifying specific fields and values, and using the data to inform downstream systems in your manufacturing systems.

Your organisation has been keeping records for centuries, those documents contain valuable information about various parts of your business operations such as pressure test records or maintenance records. The documents have a mix of text and images which makes building a document pipeline a challenge. Using computer vision, you can build a custom pipeline to extract the text from the documents as well as the diagrams or images on the pages to aid in overcoming the manual process of reviewing these documents one by one.