1. Overview
Problem:
Make effective storage and interface to your document image files.
In recent years, OCR (Optical Character Recognition) technology has been applied throughout the entire spectrum of industries, revolutionizing the document management process. OCR has enabled scanned documents to become more than just image files, turning into fully searchable documents with text content that is recognized by computers. With the help of OCR, people no longer need to manually retype important documents when entering them into electronic databases. Instead, OCR extracts relevant information and enters it automatically. The result is accurate, efficient information processing in less time.
By integrating AI and Machine Learning based technologies, a number of important business problems can be solved very effectively without human intervention. They include scanning of boxes of documents and storing retrieved textual and numeric data them in database. It allows to effectively keep track of records, simplifies data collection and following analyses.
Goals of Document solution:
- AI based integrated solution to extract textual and numeric information from PDF and image files in the form of text and present this information in a convenient (e.g. tabular) format.
- Organize storage of this information in database for following quick search and extraction.
- Textual analytics: document summarization, classification, finding similar documents, named entity recognition, etc., using Natural Language Processing.
2. Architecture
Possible architecture for this solution is shown in Figure 1.
Figure 1: Basic architecture of the end-to-end application.
Example of implemented solution with document storage and search is shown in Figure 2.
Figure 2: Example of document search.
3. Features
Quick and effective digitization of paper documents.Document.AI solution allows to convert tons of paper documents of various formats to digit, and makes them available online. It saves money used for paper storage and text replication.
Documents storage for fast access.
Use of modern document databases allows to store countless texts and then quickly access them using topics, keywords, etc. It will dramatically reduce time for finding a required information.
Insight generation.
Document.AI allows to effectively group and then summarize information stored in documents. It may significantly boost business efficiency.
4. Key benefits
The suggested solution can be helpful in many fields, for example, education, healthcare, finance, and government agencies. Possible positive outcomes include:- Countless paper documents would be converted to digit and be available online.
- In education, it will save money for students and allow knowledge to be shared.
- For many businesses, one can easily keep track of all financial records.
- In government, legal, healthcare agencies, it simplifies data collection and their future analysis, among other processes.
- Overall, it maximizes a business performance, and significantly boosts efficiency of the information accumulated in those documents.