Read this article to learn about Optical Character Recognition Technology
Fundamental for decision making, AI allows the analysis of large volumes of data and variables of a problem, exploring different possible scenarios to make decisions to optimize logistics. Artificial intelligence in logistics has more and more applications. The radical change that its entry into the supply chain has brought about will continue to deepen in the near future.
By artificial intelligence, in logistics, we mean all the automation processes in the different branches that make up logistics. But it goes beyond that: in addition, the power of machines is used to autonomously find possible improvements in operations.
AI (Artificial Intelligence) is causing a total mutation in logistics management, which is moving from a reactive to a proactive model. The sector’s operations used to adapt to variations in demand. Today, however, market behavior can be predicted. These predictions allow for optimized efficiencies in marketing, transportation, warehousing, controls, and more. This leads to increased profitability by saving time, space, and man-hours.
In the case of AI in the supply chain, the information comes from the warehouse or carriers and indicates the location and status of a product. Thus, real-time inventory maintenance is developed. As a result, automatic supply orders are generated when a product runs out of stock. OCR technology is key to this, as it can identify images, such as labels, receipts, and shipping orders, and process the information to text.
How Do OCR APIs Work?
These AI tools, called APIs, are interfaces that generate a permanent connection network with external information sources. This network can be integrated into work platforms or websites allowing access to external functions. They are widely used by developers as they can be adapted to different needs. OCR technology consists of analyzing images, recognizing the structure, and the characters, and then processing this information and converting it into text.
These APIs recognize letters, numbers, symbols, special characters, and even handwriting. They can process hundreds of images in a few seconds and then export the text in a variety of formats, such as docs, excel, or even programming languages, like Node.js. There are multiple APIs on the market, but we want to encourage you to try a simple and reliable API, Optical Character Recognition API.
About Optical Character Recognition API
If you are looking for a reliable and high-performance tool, Optical Character Recognition API is your tool. It works with an image URL and extracts all the text in the format you want, including Node.js. It supports JPEG or PNG images and the result can be exported in many formats such as Excel, pdf, or different programming languages. This API has an amazing categorization feature that helps to organize information into preset or tailored categories.
OCR APIs are able to understand alphanumeric characters, as well as special characters or handwriting. As it works with AI, human intervention is reduced and the frame of error is minimal. It also learns with self-learning machines, giving you a guarantee of constant improvement. You will be able to start working with it quickly thanks to its user-friendly interface and the fact that it supports most programming languages such as Javascript, JSON, or Node.js. Don’t hesitate and try Optical Character Recognition API to see impressive results.