주황색 웨이브 모양의 배경

Textscope®

Cognition

주황색 웨이브 모양의 배경

Textscope®

Cognition

Company

Textscope®

Business

Insight

Textscope® Cognition​: Seamless Data Extraction and Document Classification ​

Textscope® Cognition combines computer vision (CV) and natural language processing (NLP) technologies to understand and identify document content regardless of format variability. It comprehends contextual features of text and visual characteristics in non-uniform, unstructured documents to classify documents and accurately extract necessary data for business needs. It supports recognition of documents stored as images as well as electronic documents like MS Office, HWP, and PDF formats.

Why should you use Cognition?

Textscope® Cognition

01

01

Leveraging its deep learning-based engine, Cognition efficiently manages document identification, automatic classification, and data extraction in a single process.

Leveraging its deep learning-based engine, Cognition efficiently manages document identification, automatic classification, and data extraction in a single process.

02

02

It understands the meaning of text even in free-form, unstructured documents with varying formats and layouts, allowing for rapid extraction of necessary data.

It understands the meaning of text even in free-form, unstructured documents with varying formats and layouts, allowing for rapid extraction of necessary data.

03

03

It also recognizes complex structured table data.

It also recognizes complex structured table data.

04

04

The AI algorithms reliably identify and process diverse image sources, including those with low resolution or suboptimal quality.

The AI algorithms reliably identify and process diverse image sources, including those with low resolution or suboptimal quality.

Cognition accurately extracts data even from low-resolution images and documents with complex table structures.

Example of Unstructured Document (Bill of Lading) Data Extraction

Text Semantics Understanding

Text Semantics Understanding

Example of Unstructured Document (Bill of Lading) Data Extraction

Document Classification and Data Extraction

Document Classification and Data Extraction

Example of Unstructured Document (Bill of Lading) Data Extraction

Example of Unstructured Document (Bill of Lading) Data Extraction

Data Extraction Process for Tabular Documents (PACKING LIST)

Text Semantics
Understanding

Text Semantics
Understanding

Data Extraction Process for Tabular Documents (PACKING LIST)

Data Relationship
Analysis

Data Relationship
Analysis

Data Extraction Process for Tabular Documents (PACKING LIST)

Data Normalization and
Standardization

Data Normalization and
Standardization

Data Extraction Process for Tabular Documents (PACKING LIST)

Data Extraction Process for Tabular Documents (PACKING LIST)

Regardless of differences in titles and formats, documents are accurately classified into the desired categories.

여러장의 문서 아이콘

Training data for
document
classification

Training data for document classification

AI 아이콘

A multimodal model

for classification​

A multimodal model for classification​

AI로 문서를 분류하는 아이콘

Rapid training
for document
classification

Rapid training for document classification

99%

99%

Accuracy of document
classification

Accuracy of document
classification

Document Classification Model Training Process

Document Classification Model Training Process

문서를 보는 남자

Interested in learning more about

Cognition

Please contact us right away. A Document AI specialist will provide you
with the best ways to enhance the value of your document data
as quickly and comprehensively as possible.

문서를 보는 남자

Interested in learning more

about

Cognition

Please contact us right away. A Document AI specialist will provide you with the best ways to enhance the value of your document data as quickly and comprehensively as possible.

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T. +82) 2 6289 0501

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7th Floor, JBI Building, 10 Bangbaechun-ro 2-gil, Seocho-gu, Seoul

Product & Technical Consulting

General Inquiry

Copyright © 2024 Lomin.ai. All Rights Reserved