In order to analyze financial health of a property, investors need to collect and organize data from different CRE financial documents. Analyzing operating statements is crucial in the whole underwriting process.
Analysts have to manually extract data from numerous documents before organizing them in a standard template. Manual data extraction compromises the underwriting process with inaccurate data entry and time consumed in the process.
Simplify data extraction from operating statements and free-up your essential resources. Let's see how Docsumo makes it easier to organize data in a structured form from unstructured data sources.
You can easily add, delete and move any field.
Real Estate Taxes
Repairs and Maintenance
Sales & Marketing
Gross Rental Income
Get a free ROI report and see the impact of your document automation project.
Advanced image preprocessing (deskewing, noise reduction, contrast correction) gives higher data extraction accuracy.
Docsumo converts PDF to CSV, Excel, JSON and XML files formats. You can download extracted data for any date range in the format you like.
It takes less than a minute to import a document, process it, extract all data fields from it and send the data to other apps.
Docsumo makes it very simple to send extracted data to any other software with APIs & webhooks out of the box.
Apply filters for dates, numbers and other regular expressions to extract data in desired format.
We’d love to show you how you can increase your productivity, process your documents faster and save operations cost!