One of the biggest challenges of AI is the paucity of data. OCR module helps to feed models with the input of data making them more effective. Read the case to know more.
March 7, 2024
In addition to its other benefits, ValueXI offers data enrichment tools that allow you to customize your AI model and enhance its training capabilities. Today, we’d like to delve deeper into the Document Management Module (OCR), which operates both in the cloud and locally.
The OCR (Optical Character Recognition) technology provides a comprehensive solution for businesses tackling document management and data entry challenges. At its core, the OCR module seamlessly recognizes and converts scanned text documents, images, and tables into machine-readable formats such as Docx. This functionality eliminates the inefficiencies associated with manual document processing, reducing errors, and cutting labor costs by freeing specialists from mundane, time-consuming tasks.
However, ValueXI’s OCR module is not simply another feature. According to Carrerera, one of the biggest challenges of AI is the paucity of data. AI is only effective and functional when models are fed with the input of data. Models are only as efficient as the quality of data. The OCR technology integrated into the ValueXI platform is primarily set for profound AI model training and data enrichment. All to make the MVP be ready as soon as possible, and be effective for business.
What distinguishes ValueXI’s OCR module is its versatility and ease of integration. Whether deployed in the cloud or locally, the system detects images within text files and offers users intuitive prompts for seamless navigation. Also, its compatibility with diverse file formats and support for document archives ensure flexibility and scalability in data management operations.
The OCR module integrates seamlessly with existing workflows through APIs, enabling automation across various touchpoints such as email, chatbots, CRM systems, and other sources of information. This integration capability helps improve efficiency by facilitating the smooth flow of information across organizational silos.
Now the OCR module can work with different formats of documents in English, and we're working on the ability to recognize texts in German and other languages. The main focus in the development of this function is on processing the received information into a data set for further classification. So we expect that in the near future — with the introduction of Named Entity Recognition (NER) — ValueXI will be able to find text in texts. What for? To find specified categories of words and phrases in the text, which will improve the process of classifying applications.
Here is one of the projects where the ValueXI’s OCR module proved to be immensely beneficial. Our client — a company developing a health tech app for patient transportation — aimed to reduce patient transport time and minimize the manual workload of health professionals.
Leveraging ValueXI, we enabled instant data retrieval through patient questionnaire scans and automatic distribution of insurance approval requests. It resulted in a notable 65% reduction in staff workload coupled with a 87% decrease in error occurrences.
Thanks to such features and the modular nature of ValueXI, the platform offers reliability and speed superior to developing an AI model in about a month. Moreover, it provides greater intuitiveness and flexibility compared to relying on cumbersome out-of-the-box solutions.
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