akaBot Vision is an intelligent platform for flexible capturing meaningful data from mass documents, forms and correspondence to improve business outcomes. It transforms documents into business value by capturing and validating information in any format at its point of need. Intelligently digitizing documents and automating document processes.
OCR/ ICR Platform
How akaBot Vision
By combining Cognitive Capture, Deep Learning and Natural Language Processing, akaDoc automatically read, classify any type of information cross organization including both structured and unstructured documents into each required categories. The information can be extracted and easily stored in enterprise’s database for any business purpose.
Saving operation cost
Auto transforming paper documents into digital formats which cuts off significant data entry time, reduce manual work and errors, minimize costs and makes it easier for data access.
Faster Decision and Action
By capturing meaningful data fields it helps to understand and extract ONLY important contents from documents. This is an advantage to remove latency for quicker transaction, smarter decision making, and improve customer engagement.
Greater data security with compliance
All the information is safely stored in digital formats to avoid any risk that could happen to paper documents. Data could also be recovered easily.
The platform provides a manual Template Creating Tool for users to create a new document layout. Those templates can be saved and used later for similar document type. Two main functions are Define Zone and Define Keyword which allow users to extract meaningful data and easily find needed information by only inserting some keywords. An advance data define tool with Regex is also provided for professional users.
Document Image Enhancement
This technology is applied in all OCR packages which automatically improves images quality in any format: pdf, scanned pdf and screenshot, via multiple stages, such as auto cropping, background whitening and geometric transformation, help to process all types of documents related to their image quality.
Auto-correction & Data Validation
By leveraging the power of Natural Language Processing (NLP) to execute automated word correction. This process expected to reduce 60 – 90% of miss-match words from OCR output.
With Auto Learning capability, every miss-match words will be confirmed and auto trained to the Machine Learning model. OCR engine is able to learn from mistakes and gets smarter after time and time.
How It WorksAt the first step, documents will be classified into required categories then go through an OCR integrated process. At the end, end users are able to check and make any changes before exporting the results to a desired format.
Our Success Stories
Automate Clearing & Settlement Process for the Top 10 Best National Banks Case Study Highlights One of the largest commercial banks in Vietnam, operating 77
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