Document Classification for Recorders
Optimize Record Identification with Intellidact AI!
Intellidact AI™ software is used to accurately classify and separate documents allowing you to expedite the e-Recording process with total confidence.
Why Use Automated Classification for Land Records?
Quickly address backlog challenges from reductions in staff and workload increases, and break the never-ending cycle of having an unmanageable backlog of documents to process. Automated classification reduces data entry and classification errors, increasing efficiency and enabling your staff to properly allocate its resources toward other tasks.
Automated classification ensures that every document that is captured and stored is accurately identified. The result: faster, smoother and more reliable records workflow processes with less frustration and higher satisfaction.
Why Intellidact AI™?
Intellidact can be trained to automatically classify structured, semi-structured and free-text documents with high accuracy. Intellidact also allows you to not only classify documents by layout, but also content.
Intellidact offers unique key features giving you a flexible expert system for land records.
We guarantee 100% privacy. We will not share your information.
Using content and content-based algorithms Intellidact Classification allows users to process structured forms as well as free-text documents with high accuracy.
State of the art machine learning technology allows you to classify new document types as they come in.
User Trainable System
User Controlled Machine Learning keeps you from exposing documents and data to software vendor solutions that only provide offsite learning and deliver fragile regular expression rules based systems. No programming knowledge required.
Our solution takes the guesswork out of the training and testing process with our benchmarking tool, which allows users to monitor system performance and accuracy.
Complete the Data Sheet download form to learn more about our key features and obtain complete Intellidact Classification information.