In the era of transformation of management, material handling not only the challenge but also is a key factor for enterprises to enhance operational efficiency. Millions of documents are created each day, requires the processing solution is to minimize the time, cost and effort as technology Intelligent Document Processing (IDP). Not only automate processes, IDP also opens the potential to optimize the storage, analysis, mining material in a smartest way.
So, IDP is what works and integrate the advanced technology, how? The article below of Vietnam will help you understand every aspect of this solution.
1. Intelligent Document Processing what is?
Intelligent Document Processing (IDP) is a solution of advanced technology to help automate the process of document processing, from the classification, data extraction, to processing, authentication, and storage.
A special feature of the IDP is the ability to combine artificial intelligence (AI) processing natural language (NLP), machine learning (Machine Learning) to understand and document handling in a way that previously only humans can do.
Unlike the method of processing traditional materials, IDP can handle many types of different documents, including structured data, semi-structured, and unstructured. IDP improve efficiency, accuracy, and scalability in managing large volumes of documents, become essential tools for modern businesses.
2. The manner of operation of Intelligent Document Processing
Intelligent Document Processing operation in a closed process consists of 5 main stages:
Phase 1: document Classification
The process begins with the identification and classification of documents, organizing scientific data before processing in more depth. This system ensures smooth operation, especially when have to handle large volumes of documents from various sources.
How it works:
- Recognition technology, optical character (OCR) and processing natural language (NLP) is used to read out content material.
- Criteria such as title, keywords, or formatting that is applied to automatically classify documents into the appropriate group.
Stage 2: Extract data
After material has been classified, the next step in the operation process of the Intelligent Document Processing is to extract the important information to serve the purpose of use. This is a phase transition material from the form of images or text is not structured to form structured data.
How it works:
- OCR technology to scan and read the the necessary information (for example, invoice number, customer name).
- Machine learning algorithms (Machine Learning) is applied to identify, analyze information even when the document format is different.
Stage 3: data Processing
Data after being extracted will undergo stages of cleaning and sorting. This process aims to standardize data to ensure quality and accuracy before storing or integrated.
How it works:
- Delete excess data, duplicate or invalid.
- The processing rules are automatically applied to organize the data according to the required format.
Phase 4: Verify and test data
This stage helps to ensure that your data is treated not only accurate but also consistent with the legal requirements and professional. This step is important, particularly for the industry require high accuracy, such as finance, health.
How it works:
- Intelligent Document Processing compared the data extracted with the initial source to detect deviations.
- Use AI to check and repair the errors if errors are detected.
Stage 5: storage and analysis of data
The last step is to organize the storage of data integration into the management system or the other enterprise software. This stage ensures data is always available to access and use.
How it works:
- Data is stored safely on the platform, cloud or internal system of the business.
- System IDP easy integration with other software such as ERP, CRM or DMS, which helps to synchronize the data automatically.
3. Intelligent Document Processing integrated the technology?
Intelligent Document Processing (IDP) is the combination of many advanced technologies, automation support and improve efficiency in document management. These technologies plays a pivotal role in the extraction, classification, authentication, integrate data from various types of different documents.
Below is the technology that IDP integration:
3.1 Recognition optical character (OCR)
OCR (Optical Character Recognition) is the basic foundation of IDP, allows to convert the document format images, PDF or document is scanned from paper into data that can edit, search is.
How it works:
- OCR to recognize and extract text from images or materials not structure.
- This system supports multiple document formats, different font style, at the same time improve the ability to identify through machine learning algorithms.
OCR is very necessary to digitize printed text, allows organizations to move from the process of working on paper to process digital work. The OCR system advanced can handle many types of fonts and document layout, improve the accuracy and efficiency of collecting data.
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3.2 machine Learning and artificial intelligence
Machine learning (Machine Learning) and artificial intelligence (Artificial Intelligence) is the key in Intelligent Document Processing has the ability to learn and improve over time. Algorithm ML analyze historical data to identify patterns and make predictions, improve the accuracy and efficiency of the process of material handling. Meanwhile, AI allows automation of complex tasks such as extract, classify, verify data.
How it works:
- Machine learning analysis of historical data to identify the sample data, and predict trends.
- AI automation of complex tasks such as sorting, extract, verify information.
3.3 Processing natural language (NLP)
Processing natural language (NLP) is a technology that allows computers understand, interpret and generate human language. In Intelligent Document Processing, NLP is used to handle data analysis, the text in the document. The NLP techniques used to understand the context and meaning of the text, allowing the system accurately classified the documents, extract relevant information.
How it works:
- NLP semantic analysis to understand the context and content material.
- The algorithm NLP to extract important information, such as name, date, or the terms from the contract.
3.4 process automation by robots (RPA)
RPA (Robotic Process Automation) is the additional learning tool to help automate the repetitive tasks related to document handling, reduce manual intervention. The bot RPA can be programmed to handle regular activities such as data entry, authentication, routing documents.
When integrated with technology, IDP, RPA can automatically trigger workflows based on the data being extract, helps to reduce the manual intervention and increase the speed processing time.
How it works:
- RPA perform tasks such as data entry, data checking, or routing documents to the appropriate department.
- When integrated with IDP, RPA automatically trigger processes based on data extracted.
3.5 cloud
Cloud computing provides infrastructure flexibility, support Intelligent Document Processing to handle large data volumes and meet the needs scaling. The cloud platform also provides features robust security to ensure sensitive data is protected. In addition, the solutions based on cloud facilitates the remote access allows employees to handle, access documents from any location.
The use of cloud computing in IDP ensure that the system can handle the volume of data and processing needs are increasing while still maintaining performance, high reliability.
How it works:
- The data is stored, processed directly on the cloud platform, to help optimize resources, ensure the safety.
- Cloud service provides the ability to remotely access, help employees handle and retrieve data anytime, anywhere.
4. Technology IDP role in data processing?
Technology, Intelligent Document Processing (IDP) is not only a support tool, but also plays a central role in revolutionizing the way data processing. With the possibility of automation and artificial intelligence, IDP helps turn raw data into valuable information, promote the process of digitizing, optimizing operational processes.
- Improve efficiency and productivity: Technology IDP automation extracting, sorting, processing data from the literature, help to significantly reduce the time and effort necessary to enter the data manually. IDP simplify workflow to help speed up the processing time of documents, which allows faster decisions, reduce congestion activities.
- Ensure speed and accuracy: Technologies such as OCR and NLP to help identify, extract, data processing in a short time, significantly reducing errors.
- Flexible integration with existing systems: IDP can be easily integrated with ERP, CRM or DMS ensures the data from the input material is synced automatically. To help businesses optimize data flow, increase efficient use of resources.
- Enhanced data security: Thanks to solutions modern storage on the cloud platform or internal IDP protect documents from risk, loss or unauthorized access.
- Support smart decisions: After processing, the data is analyzed and scientific institutions, provides important information to support decisions quickly and accurately.
5. The application areas of Intelligent Document Processing
Technology, Intelligent Document Processing (IDP) not only optimize the internal processes, but also brings significant changes in the way the industry operated. With the ability to handle documents quickly, accurately, automation, IDP is widely used in many important areas.
5.1 Finance and accounting
In the field of finance and accounting, the processing of large volumes of invoices, payroll and vouchers require high accuracy is a challenge. IDP helps solve this problem by automating the process to repeat, save time, reduce errors.
Practical application:
- Invoice processing: System IDP auto scan, extract information from invoices as tax code, amount or date of payment, ensure data is entered correctly into the accounting system.
- Check and control: Automatically reconcile transactions, help detect and timely processing of false or fraudulent.
- Payroll management: IDP support handling, storing the data, staff salaries, ensure compliance with legal provisions on finance.
5.2 personnel Management
Records management personnel is one of the time consuming work and requires absolute accuracy. Intelligent Document Processing to help automate this work brings to the process management professional, more efficient.
Practical application:
- Records management staff: System IDP auto storage and sorting documents such as employment contracts, performance reviews, decided promoted.
- Recruitment: Automatically scans CV, extract information and take into the database, save the processing time for the hr department.
- Leave management: The system auto-updates, storage, leave requests, help businesses better manage.
5.3 Financial bank
Finance and banking is a field that the volume of documents large and complex, from the credit record to contract loans. IDP plays an important role in the optimization, enhanced accuracy in information processing.
Practical application:
- Manage your credit profile: Automatic sorting and storing the loan documents, the credit agreement, ensuring information is easy to access.
- Handle financial statements: IDP support to extract information from reports, automatic synthesis, help reduce errors and crafts.
- Verified documents: Automatic test match, the legal document as proof of identity or proof of ownership of the property.
5.4 supply chain Management
The complexity in supply chain management requires handling systems, material quickly and accurately to ensure the process operates smoothly. Intelligent Document Processing to help businesses achieve this through the automation of document management related to supplier and shipping.
Practical application:
- Order management: System IDP automatic processing, sorting order, from which it sent to the relevant department.
- The shipping bill: Automatically extract information stored transportation bill, supports expense tracking.
- Storage contract supplier: IDP sort, store the contract, the lookup information becomes easier.
5.5 Medical, health
In the medical field – health, where patient data and documentation expertise plays an important role, IDP bring the accurate, fast in the management of information.
Practical application:
- Manage medical records: Automatic sorting, storing medical records, help doctors and medical staff easy access.
- Processing prescriptions: Extract information from prescriptions and storage, ensuring data is always ready to use.
- Data entry, medical report: IDP automatically enter data from the test reports, reducing time and errors.
In the era of the conversion of Intelligent Document Processing emerged as a groundbreaking solution to the intelligent automation and process optimization, material handling. With the ability to integrate modern technologies such as OCR, AI and NLP, IDP not only help businesses save time and cost, but also significantly improve operational efficiency. If your business is looking for a solution to digitize, professional, and comprehensive IDP is step strategy to lead in the digital age.
CONTACT INFORMATION:
- Lac Viet Informatics Joint Stock Company
- Hotline: 0901 555 063 | (+84.28) 3842 3333
- Email: info@lacviet.vn – Website: https://lacviet.vn
- Headquarters: 23 Nguyen Thi Huynh, P. 8, Q. Phu Nhuan, ho chi minh CITY. Ho Chi Minh
