A Cognitive Forms Processing Bot
Manually reviewing a high volume of paper and digital forms
High rate of errors associated with the manual review of forms
Manually classifying forms for specific business needs
Entering data from forms into an enterprise system
Dedicating time, resources, and money to manually process forms
Cognitive Forms Processing Bot
Specto automates 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 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 NeuroSoph uses are secure.
Select Use Cases
Augmenting Document Processing Workflows
In 2017 just as in 1917, government employees spend huge a amounts of time on paperwork. A recent 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 paper work burdens. A government agency could use Specto to augment the processing and classification of forms, reduce backlogs, and reduce frustrating constituents and employees.
Eliminate Historical Backlogs
Digitized forms and documents contain valuable data for business and organizations however they may not have the time or resources to have staff manual go review the documents and enter the information into a system or database. For example an entertainment company may have thousands of historical digitized record contracts the entertainment company could use Specto to read the thousands of contracts, extract information with Optical Character Recognition, create a searchable index or store the information in a system or database.
Prioritization of Forms
Most forms processing solutions in today’s marketplace work effectively on structured forms. Structured forms have the data you want to collect in a fixed location no matter the circumstances. Think of a Federal tax form or a survey from a school. No matter what year you fill it out or what state you’re in when you pick up your form, each specific answer is in the exact same location every time. The forms must have the fields in the same location for the software to work effectively due to a method called template matching.
However, forms processing solutions do not work well on semi-structured forms. Semi-structured forms include data elements that are not in the exact same place every time (e.g. fixed location). Template matching is ineffective for semi-structured forms, think of school admission application, job application, or loan applications each one of these forms contain unique data for each applicant and varies the location of fields which is why template matching does not work on semi-structured forms.
Specto is a cognitive forms processing bot and can process both semi-structured and structured forms with high efficiency.
How it Works
Benefits of Specto
Increase speed of processing document due to automation
Improves the accuracy of document classification and increases operational efficiency
Reduces the error rate associated with the manual review of documents
Frees up internal resources to work on more creative tasks and focus on the mission
Enables internal resources to improve the customer experience
Improves the quality and security of data
- Designing forms from “scratch” based on the information that needs to be collected
- Advising how to display form elements such as check boxes, radio buttons, text areas, and more
- Recommending how to improve existing form designs
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 and unstructured using Optical Character Recognition (OCR).
Extracts handwritten text using Intelligent Character Recognition (ICR).
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 NeuroSoph will retrain the model. Over time, the user’s verification of the data makes Specto smarter and allows for rectification of edge cases, error files, unmatched data, and duplicates.
Specto gives the user the ability to export to CSV, JSON, and XML this allows the processed forms 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.
Document summary techniques, condensing forms that are long into a single page (or paragraph) allowing long legal documents, government forms, and proposals to be quickly paraphrased.
Flexible Pricing Models
Project based, licensing, subscription or transaction based.