An Advanced Docparser Alternative
for contextual understanding of document
KlearStack AI extracts data from documents with the highest accuracy from unstructured documents. With multiple integrations available, data from documents can be directly stored at the back end, providing a smooth and seamless document processing experience.
KlearStack AI : More
Efficient Than Docparser
KlearStack AI, in many ways, is more efficient than Docparser. Docparser mainly examines and extracts data from a document on a surface level. KlearStack AI leverages advanced technologies and goes beyond simple, OCR-based data extraction.
Day Zero Accuracy
Day Zero Accuracy is a unique concept and KlearStack AI is the only Intelligent Document Processing (IDP) solution that has Day Zero Accuracy. Day Zero Accuracy means that any document that has never been before processed through KlearStack AI, will extract the data from it with the highest level of accuracy. Enterprises can benefit from this the can make their entire data extraction process not only smooth but quick as well.
Artificial Intelligence & Machine Learning
Docparser uses zonal technology along with OCR to extract data from the documents. This has its own set of limitations as zonal technology does not allow for a contextual understanding of the documents. KlearStack AI, on the other hand, leverages artificial intelligence and machine learning technologies. With this, KlearStack AI can extract data from unstructured documents, quite easily. Invoices and receipts from different organizations come in different formats. Identifying key datasets using zonal technology becomes difficult. But through artificial intelligence technology data extraction from such documents is highly convenient.
KlearStack vs Docparser Comparison
Third Party Integrations
Straight Through Processing
Day Zero Accuracy
Auto-learn New Document Formats or Layouts
Multiple Language Data Extraction
Extraction from Template-based & Free-form Documents
Multipage Document Extraction
Auto-Classification and Auto Split
Online Customer Support
Document Types/Industries Supported for Data Extraction