KlearStack AI. The Document Intelligence Platform.
End-to-end automation for document-centric business processes
Extract and process any unstructured or semi-structured documents using Natural Language Processing (NLP), Computer Vision, deep learning and machine learning (ML).
Unlock your competitive edge hidden within unstructured data with KlearStack IDP
Classify, categorize, extract relevant information and validate extracted data. Exponentially improve accuracy and Straight-Through-Processing (STP) with KlearStack AI’s self-learning algorithm.
Data extraction and IDP involves pre-processing stage wherein OCR and machine learning algorithms scan and evaluate the quality of the document – detects bad quality, automatically enhances image quality or rejects poor quality documents if they cannot be enhanced.
This stage is crucial in the extraction process to ensure high-quality extraction through cleaning, organizing and transforming the raw data to meet expected quality SLAs or IDP and machine learning mandates.
The initial phase of KlearStack Intelligent Document Processing begins with classifying the type of document being processed. Classify document types like Invoices, Purchase Orders, Bill of Lading, Performa Invoices, Credit Notes, ID Cards, etc.
This classification is accomplished using the combination of Computer Vision (CV), Natural Language Processing (NLP) and machine learning technology.
Once the document is classified, the next and most significant step in the process is to extract valuable information from the documents. The OCR software recognizes characters and symbols on a document as it scans the images and photographs of documents.
KlearStack’s Machine Learning models can extract specific fields, irrespective of the layouts. The model is continuously trained to understand the data extraction irrespective of layouts and formats/ field naming conventions.
Confirm data items extracted by the system such as hand-written text, human signatures and mapping the extracted text to specific fields. Also improving machine confidence and accuracy in future processes.
Business Rules Validation
Increase operational efficiency and overall processing capacity with KlearStack’s Business Rules Validation engine for document extraction and processing.
Execute cross-document validation, configure and use rule sets that can be used in various processes and solutions. Easy-to-use rules result review and exception handling.
Think beyond traditional OCR and RPA. Connect the dots and achieve higher order Straight-Through-Processing with KlearStack AI. Using our three layered data validation technology confidently automate straight through processing. Automatically highlight documents that fail any re conciliation checks.
Completely automate manual business processes to speed up your document processing or stream line data sharing across multiple points.
API and Integrations
Open RESTful APIs for seamless integrations with any accounting, ERP or RPA systems. Out-of-the-box integrations with SAP, QuickBooks, and more.
Implementation Life Cycle
Say good bye to manual data entry and document processing. Automate document extraction, interpretation and processing using KlearStack AI.
Image quality pre-requisites
Assessment of results
10% straight through processing
Training & go-live
60% STP. 40% Effort Saving.
Week 3 - 6
Ongoing ML updates
99% Accuracy. 80% STP
70% Effort Saving
Week 7 - 10
KlearStack AI Features
Empower business users to automate processes end-to-end.
Efficient, accurate and timely data extraction to get structured information that can feed into decision support systems of your critical business processes is the key to enterprise automation and your competitive edge.