Smart and efficient document classification

Quickly sort mixed documents within seconds using lightweight, low-cost models, with automatic alerts for unknown categories.

Smart and efficient document classification

Quickly sort mixed documents within seconds using lightweight, low-cost models, with automatic alerts for unknown categories.

Smart and efficient document classification

Document Classification

Quickly sort mixed documents within seconds using lightweight, low-cost models, with automatic alerts for unknown categories.

What is Robotic Process Automation (RPA)?

Robotic Process Automation (RPA) is a technology that can let human manage robots and assign tasks to them on a digital system. These robots can handle repetitive, standardized and streamlined work, such as filling out forms and logging in systems.
The combination of RPA and AI let intelligent automation:
Understand instructions better through natural language
Make decisions with AI insights based on collective data
Organize and execute tasks securely with more precision

What is Intelligent Document Processing (IDP)?

Intelligent Document Processing (IDP) is to analyze documents with technologies like optical character recognition (OCR) and natural language processing (NLP). It is highly recommended to use IDP to deal with contracts, invoices, and reports in daily work.

Nowadays, IDP can draw conclusions or make predictions based on data from paper or electronic documents, which means you can form business insights by yourself.

Core advantages

  • Leading performance
    Laiye IDP is powered by semantic understanding via LLMs and our unique OCR technology. Accuracy is ensured even in complex scenarios.
  • Enterprise-grade security
    Certified by international standards such as ISO/IEC 27001. Reliability and data security is over 99.9%.
  • Trustworthy intelligence
    Process documents with human feedback. Improve capability through self-learning and upgrades.
  • Open integration
    Integrated with RPA and connected to open API and MCP, Laiye IDP can handle documents on various systems and applications.
Document Classification

Document Classification

Classifies entire documents or individual pages, detects unknown types, and raises alerts. This enables smarter front-end routing, reducing manual effort and improving overall efficiency.

Applied Scenarios

Icon for Sorting packages into separate files
Sorting packages into separate files

Upload packages containing different documents, and the system will classify and split them into separate files, routing each to the right approval workflow. This boosts reimbursement efficiency by up to 90%.

Icon for Archive procurement materials
Archive procurement materials

Suppliers receiving batch purchase emails can rely on the system to identify and categorize contracts, purchase orders, and invoices. Key information is extracted and archived to streamline procurement document management.

Icon for Loan document sorting
Loan document sorting

The platform can classify critical loan documents such as ID cards, bank statements, and income proofs. This enables faster and smarter risk control audits and cut average waiting time to just a few minutes per application.

Difference between types

Features
Human-AI collaboration
floating authorization
Human-AI collaboration
binding machine
Unattended
foating authorization
Activation
Account and Password
Activation Code
Encription Key
Internet Connection
Automation Commander

Difference between community and enterpise versions

Features
Community version
Entreprise version
Process Operation
Binding Credientials
Massive Deployment

Paradigm Shift in RPA Development

Difficulty
Traditional RPA Development
Magic Hat RPA Development
Build Development Structure
Drag-and-drop commands
Describe–Generate–Verify
Skill Requirements
Proficient in all commands
Clearly describe automation steps
Develop RPA Extensions
Professional developers
Common Developers

Lightweight model for efficiecy

The model uses OCR results along with visual and semantic features to classify documents accurately. It is also optimized for cost-effective deployment, requiring minimal labeled data and computing resources.

Keyword-based classification

Supports classification using custom keyword rules. Near 100% accuracy can be achieved in some scenarios.

Unknown category detection

Automatically flags documents that don’t match any known categories to reduce misclassification.

Differences between SaaS Version & On-premise Version

Modules
Features
SaaS Version
On-premise Version
Building Skills
FAQ
Flow Builder
Automation
Table QA
Document search
Annotation
Online Learning
Issue Management
Knowledge Mining
Preset Messaging Channel
Preset Voice Channel
Pre-built Connectors
Pre-integrate vendor
Preset Customer service
Custom Handover API
User Channel Widget
Customer experience
User Feedback
NLU Customization
Multi-Model Interaction
Dynamic Dialogue Policy
Customization
Personalized Experience
Metadata Application
Authority system
API Integration
Scalability

Differences among different types

/
Attended & floating
Attended & node-locked
Unattended & floating
Account and password
Activation code
Encryption key
Activation
Network
Need
No need
Need
Commander
Necessary
Not necessary
Necessary

Differences between community & enterprise versions

Features
Community Version
Enterprise Version
Process execution
Node-locked license
High-density deployment

Differences between community version & enterprise version

Features
Community version
Enterprise version
Foundational function
Client software update
Parameters & credentials
Real-time monitoring and screencapture
Role & department management
Open API

RPA in the future

As foundation of intelligent automation

RPA remains essential for digital transformation.
Simplify automation: Low-code platforms let anyone build robots.
Wide compliance: Runs on old systems without costly transfering.
Handles complex tasks: Manages tasks across multiple apps.
Self learning: Cloud and API integration enhance automation.

Drive the landing of AI Agents

Build digital worker: Advanced AI agents are deployed on your system to be utilized in any business scenarios.
Agent marketplace: With a user-friendly interfacing, anyone can run automation directly on MCP-supported systems.
Cognitive Automation: Simply tell the agents your needs, and they will reason and follow the steps.

New pattern of human-AI collaboration

Empower employees: free employees from repetitive tasks and work on productive jobs.
Human-AI collaboration: chat with agents to push actions. Auto-alerts are triggered when problems appear.
Developing skills: learn and build automation workflows without coding knowledge. Draw and share experience in our developers community.

integration of diverse tools

RPA Center of Excellence

The RPA CoE (center of excellence) is a team that:
✓Shares the best ways to use automation across departments
✓Makes sure the data can be utilized on all systems
✓Automates workflows for the enterprise

For businesses, CoE makes decisions faster, gets more value from data base and significantly cuts costs.

For employees, they can learn automation skills, spend less time on busywork and focus on creative thinking.

IDP in the future

Cogntive automation

LLM-driven IDP can understand sentences and further do analysis. For instance, IDP can evaluate clause that may impact your business and simulate costs of every step. Based on actionable suggestions, decision-making is no longer an issue.

Combination of multiple models

To accelerate document processing, we let specific models work together. The workflow is like a pipeline; text, images, tables, etc. are analyzed and become your own database to generate AI business insights.

Real-time data bank

Connect your CRM system with Laiye IDP to get structured data resources for utilization. Built your chain of value, from database to business insights.

How can we help you do better and be better ?