What is Intelligent Document Processing (IDP)?
Intelligent Document Processing (IDP) uses artificial intelligence (AI) and machine learning to automate the extraction of critical information from digital and physical documents.
What are the stages of the IDP Process?
- Classification of documents : the first step of IDP is to capture and classify documents, whether digital or physical;
2. Data extraction : Once classified, the system extracts relevant data from documents using OCR (optical character recognition) and NLP (natural language processing) to precisely identify information such as dates, amounts or names;
3. Data processing : the extracted data is then processed according to its objectives and the type of document concerned.
4. Continuous learning : One of the main strengths of IDP is its ability to learn and improve thanks to algorithms that retain errors and adapt to new document formats.
5. Reporting and analytics : IDP systems can track metrics such as processing time, error rates, and throughput volumes, storing the collected information securely.
Areas of application of the IDP
IDP is used in various fields, including:
- Finance ;
- Insurance ;
- Healthcare ;
- Retail business ;
- Public sector.
A leading player in intelligent document processing and process outsourcing, Luminess is at the forefront of AI technologies to automate, digitalize and optimize business processes. We combine an industrial BPO approach with the operational excellence of an ESN to support our clients in their digital uses. We thus deal with different types of processes, such as patent filings, reimbursement of health costs for mutual insurance companies, account opening process and files for banks and numerous projects that require the processing of high volumes of personal and sensitive datas.