From OCR to ICR
AI Solutions for Business
Experience a more efficient way to manage your documents, eliminating the hassle of scanning, data ambiguity, and lost files.
What is OCR?
Fun fact: it's just in our daily lives.
OCR technology brings convenience to our daily routines, allowing us to easily digitize documents, find similar items visually, and translate text with just a few clicks.
OCR is a critical component of digital transformation, enabling businesses to "Read" text from images and make it searchable, thus facilitating efficient data management.
When AI Changed the World
OCR evolved into ICR
ICR technology not only enables computers to "read" text within images like humans do, but also aims to train computers, through machine learning (ML), to adopt a human-like cognitive approach. This involves "recognizing" various formats, types, and irregular handwritten characters and images, then analyzing, adjusting, and refining patterns and lines to arrive at the most appropriate conclusions.
More accurate and flexible recognition technology is ideal for industries that require precise data entry, such as finance, insurance, education, and healthcare.
ICR Plus NLP
More Powerful
It is a technology that enables computers to understand, interpret, analyze, and generate human language. When we ask a voice assistant on our phone, "What's the weather like today?" or inquire about "return and exchange policies" with a customer service chatbot, or even ask questions in ChatGPT to find answers, we are using NLP to interact with machines in natural language.
If ICR enables computers to "recognize" text and image data like humans do, then NLP technology helps computers "understand" our language, enabling them to respond in ways similar to humans. This includes tasks like translation, answering questions, or processing textual information.
Traditional Processes
Original document collection
Scan original document
ensure original data integrity
Manually enter information from the original document
Facilitate future edits on the computer
Review & Confirm
Complete
Encounter the Pain Points
Original document collection
Scan original document
ensure original data integrity
Manually enter information from the original document
Facilitate future edits on the computer
High labor costs
Impact on accuracy
Difficulty in data updating and integration
Information security concerns
Challenges in handling large-scale data
Inability to effectively process unstructured data
Review& Confirm
Complete
Implementing ICR
Enable an Intelligent Process
Original document collection
Scan original documentensure original data integrity
ICR recognition
Convert data from various formats into a unified data structure, ensuring consistency.
AI text analysis
Analyze text content and semantic context, converting it into an editable electronic format.
Review & Confirm
Complete
ICR Resolves Pain Points
High Labor Costs
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By utilizing automated recognition, reduce the time and manpower required for manual data entry, thereby lowering labor costs.
Automation
Impact on Accuracy
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By eliminating factors such as human emotions and fatigue, automated systems maintain consistent recognition accuracy and minimize the occurrence of input errors.
Reduce Interference
Update Speed
Data can be processed and updated in real time, ensuring the timeliness of information.
Real-time Capability
Automated processes reduce human interaction with confidential data, lowering the risk of data leakage.
Machine Operations
Handling Massive Data
AI can process large volumes of data quickly, also easily meeting the demands of large-scale data input.
AI Processing
Inability to Process Unstructured Data
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AI can recognize and convert unstructured data, such as handwritten notes and scanned documents, into structured data. It integrates information from different sources and formats, simplifying the data import and integration process.
Simplify integrate into structured data
Ideal for Companies need
Precise Data Entry
Finance
Insurance
Medical