Real estate data company HARNESS has introduced a resource to support the professional home sector acquire data from PDF financial commitment brochures, tenancy schedules, and internet marketing brochures.
The system HARNESS PDF Extractor’s (PDFx) device learning algorithm has been educated to extract data from advanced types and tables in tenancy schedules and is attuned to language utilised by the home sector to identify data.
It can extract data from one,200 PDFs in the same time a human can enter data from 1. The software matches extracted addresses and cross-reference these towards Distinctive Property Reference Quantities.
“PDF data extraction has been a very long-standing bugbear of the sector, and our resolution utilises the greatest in device learning to significantly lower the friction of data use, whilst conserving time and funds for people,” stated Ben Mein, chief government of HARNESS Property Intelligence.
“Most importantly, the self-service system makes it possible for for a shopper to instantaneously entry and unlock useful data from financial commitment brochures at the point of want to greatly enhance their revenue possible