If you are a developer looking for a top-rated OCR text recognition API for your project or company, you are in luck! Read this article to learn about OCR technology and how it can benefit you!
In a sense, computer vision is a form of machine learning that enables computers to recognize patterns in visual data. As a result, it is used in a variety of applications, including object detection and classification, face recognition, image search, and autonomous driving.
In order for computers to “see” and process images, they must first be converted into digital data. This process is known as optical character recognition (OCR), which enables machines to understand text just like humans do.
What Is An OCR text recognition API?
As you may know, APIs are sets of programming codes that enable communication between different digital devices. They enable the exchange of information between different programs or websites. Optical Character Recognition technology is a type of API that identifies text in images or documents and converts it into text.
OCR text recognition APIs are beneficial for companies because they can automate manual processes, such as those related to receipts or documents, by converting them into digital formats. This saves time and money since it eliminates the need for physical storage spaces. In addition, they can be integrated into platforms or websites to make them more functional.
As a result, OCR text recognition APIs are becoming increasingly popular among companies worldwide. So, it’s a great opportunity for developers to create or enhance their own OCR projects for their worldwide clients!
Which OCR API Should You Use And Why?
Optical Character Recognition API is a powerful tool that recognizes alphanumeric characters as well as special characters such as symbols, signs, and handwriting. It can process images in jpg or jpeg format, which means it can also recognize information from documents. This API is extremely fast and efficient since it works with machine-learning engines that constantly improve its performance!
Furthermore, Optical Character Recognition API is extremely easy to use since it provides responses in JSON format. You just need to provide the image URL, and you’ll get all the information you need in just seconds! You don’t even need to modify your code since this API works with most programming languages.
Steps To Get Started With Optical Character Recognition API
- Go ahead and register for an account on Zyla Labs’ website. After this, you’ll be given your personal API key. Using this one-of-a-kind combination of numbers and letters, you’ll be able to use, connect, and manage APIs!
- Authenticate your API key, and add your bearer token to the Authorization header.
- Finally, enter the URL of the document you want to analyze and use Optical Character Recognition API endpoint IMAGE ANALYSIS.
- Make the API call by pressing the button “Test” and see the results on your screen.
And you are ready! The information will be delivered immediately! To continue, here is an API’s response example on what you’ll get as a response:
curl --location --request POST 'https://zylalabs.com/api/37/optical+character+recognition+api/108/image+analysis?url=Required' --header 'Authorization: Bearer YOUR_ACCESS_KEY'API Response:
{
"results": [
{
"status": {
"code": "ok",
"message": "Success"
},
"name": "https://storage.googleapis.com/api4ai-static/samples/ocr-1.png",
"md5": "7009ed0064efa278ed529d382e968dcb",
"entities": [
{
"kind": "objects",
"name": "text",
"objects": [
{
"box": [
0.05405405405405406,
0.12863070539419086,
0.8528528528528528,
0.7676348547717843
],
"entities": [
{
"kind": "text",
"name": "text",
"text": "EAST NORTH\nINTERSTATE\nBUSINESS\n40 85"
}
]
}
]
}
]
}
]
}But wait! We’re not finished yet. A seven-day trial of this API is currently available, this way you’ll be able to test it to see if it meets your needs. And don’t worry, if you wish to get more API calls, you can subscribe to any of the offered plans by Optical Character Recognition API. So don’t waste any more time! Get started today with this amazing API.
Related post: How To Use The Optical Character Recognition API