Specto is an intelligent forms processing system that augments the processing of paper and digital based documents. The system extracts and classifies data from incoming documents and applies the output to downstream systems and workflows. Using AI, Machine Learning, and OCR Technologies, Specto integrates seamlessly with your systems and workflows.
In 2017 just as in 1917, government employees spend huge amounts of time on paperwork. A recent governing survey of state and local officials found that 53 percent had trouble getting their work done in a 35-to-45-hour week due to excessive paperwork burdens. Additionally, backlogs and long wait times are both frustrating to both citizens and government employees (Source:DUP_AI_augemented-government.pdf).”
Specto augments the processing of paper and digital based documents, integrates seamlessly into any workflow, and can be modified based on client needs. Specto extracts and classifies data from incoming documents (digital or paper based) and applies the output to downstream systems and workflows.
Specto uses Artificial Intelligence technologies that include supervised machine learning (ML) techniques to continually improve document classification and data extraction. Character Recognition (CR) allows for data extraction (unstructured and structured) from typed and handwritten text. Additionally, all the data from the system can be exported to different file formats, and then to databases, or systems. More importantly, all the AI technologies xFact uses are secure and we promise the client’s data will not be comprised.
Allows the users to monitor system progress and performance, verify information, and tag forms that need verification
Scanned documents from different sources (printers, scanners, fax machines, etc.) often exhibit distortions – including scaling, rotation, and blurring. Specto uses image processing techniques to clean up these images, so they can be processed and analyzed accurately.
Using supervised machine learning Specto can automatically classify documents into specific categories based on client requirements.
Specto can recognize a full form/document by detecting all the page numbers and associated objects such as form fields (e.g. Address, Name, Date), text boxes, and handwriting
Data is automatically extracted from paper or digital documents structured or unstructured using Optical Character Recognition (OCR)
The user can view all the forms that Specto processed and any of the extracted data. Specto automatically assigns a quality score to the form processed and information extracted. If a document has a low-quality score it is sent to a user for review
The user can tag documents to give feedback to the machine learning model. When enough feedback is collected xFact will retrain the model. Over time, the user’s verification of the data makes Specto smarter and allows for rectification of error files, unmatched data, and duplicates
Specto gives the user the ability to export to CSV, JSON, and XML this allows the processed forms from Specto to be loaded into a client database
Each Specto instance creates a storage database, enabling the client to have a history of all the data Specto has processed and the ability to run analytics and reports.
Specto can identify if the form is in the right order and if not, it will intelligently reorder the form if the pages are misaligned or pages are missing.
Automatic engine recovery feature that senses when an engine fails and automatically re-initializes it for the next form.
Extract handwriting text using Intelligent Character Recoginition (ICR)
Document summarization techniques, condensing forms that are long into a single page (or paragraph) allowing long legal documents, government forms, and propos als to be quickly paraphrased.
Project based, licensing, subscription or transactional.
