Abstract: This disclosure generally relates to rheological property measurements/estimation for fluidic materials and is specifically directed to methods and systems for automatic and high-throughput estimation of rheological properties via videography of visually observable tests and neural-network processing. The high throughput may be achieved via parallel testing. The disclosed methods and systems provide an economical approach to estimating rheological properties with reasonable prediction accuracy based on visual observables without relying on expensive and complex rheometric setup and equipment.