If you need to include an image, you can do so by uploading it. Once you run the API, you will have the answers right away.
This API is perfect for those looking for a tool that can handle large volumes of data. It’s a suitable option for businesses that handle large volumes of documents and data, or that need to automate processes.
Overall, this OCR API is highly effective, efficient, and simple to use. It’s a valuable tool for companies that want to improve their workflows, simplify their processes, and handle large volumes of data.
How does OCR technology work?
Optical character recognition is a technology that recognizes and converts text in images into text in documents. This technology is used in many different ways, such as in security cameras to recognize license plates, in image search engines to recognize words and images, and in document editing software to recognize characters and words. OCR technology uses machine learning algorithms to analyze images and identify the characters they contain.
This technology is constantly improving due to the use of artificial intelligence algorithms that are constantly learning and improving their performance. The goal of OCR technology is to automate the process of reading and digitizing documents so that it can be easily accessed online or on mobile devices. This prevents the loss of important information and makes it easier to find when needed.
OCR API functionality:
Integrating OCR technology into systems has many benefits. By automating processes such as reading and translating documents, these APIs save time and money for businesses and governments. They also make important information more accessible to the public, which can lead to better government transparency and citizen participation in decision-making processes.
OCR APIs allow developers to easily integrate these functions into web or mobile applications with minimal effort. As software becomes more intelligent through the use of machine learning algorithms, OCR APIs are able to recognize characters more accurately and quickly, saving time and money for businesses and governments.
To identify the letters in an image, OCR technology uses machine learning algorithms that have been trained with millions of examples of handwriting (usually public documents). The technology then compares what it sees in an image with what it has learned and attempts to match them up. Obviously, it is not perfect because there are many different styles of handwriting, but if you have a large enough database of training data, it will work pretty well (about 95% accuracy). This is why these APIs work
This API uses OCR to detect any handwritten words in a picture and it will provide the text in JSON format.
You can check Handwriting to Text API for free here.
