Extraction and validation of complex data from a table, photo, signature, bar code, QR code, the outcome of radio, and check box are possible because of the izDOX-Plus AI-based solution.
Extraction and validation of complex data from a table, photo, signature, bar code, QR code, the outcome of radio, and check box are possible because of the izDOX-Plus AI-based solution.
Financial institutions, aggregators, and registration agencies collects very large volume of forms from the customers. These forms have very variations in the formats of forms, thus making it challenging to automate with conventional OCR techniques. Complexity increases because of check boxes, radio buttons, tables, photo, signature, etc.
These documents are submitted by as PDF or images for processing, and executives have to read the forms and manually enter the data in the ERP. This manual process is labor intensive, time consuming and delays the entire process of approvals of forms. Manual entry may have some errors, thus cross checking of data is required. Thus there is impact on the business efficiency. The process can be automated using artificial intelligence based technology.
Our solution izDOX-Plus has lots of capabilities to automate the complex forms processing having very large variation in documents.
Our izDOX-Plus solution uses AI technologies to extract and validate the data from forms. The data can be text, information from table, photo, signature, bar code, QR code, outcome of radio and check box. This data can be validated using business rules, and also can ne matched with ERP or other systems. Information can be matched across form and supporting documents with confidence score. The final data can be pushed back to system for approval.
The izDOX-Plus can be integrated with ERP and any other system using APIs.
The izINV can be integrated with the any system using APIs or supported with RPA. The typical touch points are:
1. Online systems or folders to access and read the invoices documents or use APIs to push invoices
2. ERP system for additional information required in data validation
Business growth
80 to 99.9% Key-Value Extraction Accuracy
Faster Turn-Around-Time due to higher STP %
4x-10x Productivity through Time Saving
Auto-extraction of data from forms including Bar Code and QR Code
Matching of the information across forms and supporting documents with confidence score
Auto-identification of photos and stamps from documents, if available
Identify wet and digital signatures, if available
Integration using API with 3rd party systems, and use of RPA, if required