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Reasons To Employ The Image To Text Converter API

Are you a developer trying to find a good image-to-text converter API to help you with the text in your images? If so, you should try this one!

Text in images is a common occurrence on the internet. Whether it’s a product description, a meme, or a meme product description, we encounter it all the time. However, extracting the text out of images manually is a time-consuming process and can result in inaccurate extraction.

Fortunately, there is now a better way to extract text from images: by using an image-to-text converter API. This makes it a great tool for businesses that need to extract information from images quickly and accurately.

How Do Image To Text Converter APIs Work?

These APIs use optical character recognition (OCR) to convert images into text. In case you didn’t know, OCR is an AI-based pattern recognition technique that locates text inside a picture and converts it into an editable digital document.

There are many different image-to-text converter APIs available on the market today; so how do you choose the best one? Well, don’t worry! We think that the best option for you is using an API that has recently gained popularity due to its efficiency. Keep reading to learn more about it!

Reasons To Employ The Image To Text Converter API

Optical Character Recognition API is a machine learning-based API that can convert any image into text. This is a fantastic tool that utilizes AI engines to deliver precise results in a matter of seconds. Due to its effectiveness, it is currently offered at the reputable API marketplace Zyla API Hub, where it has grown fairly popular.

Reasons Why You Should Try This Image To Text Converter API

There are many reasons why you should try Optical Character Recognition API. Some of them are:

  • First, it is easy to use and can be integrated into your website or app with just a few lines of code.
  • Second, it is accurate since it uses a cutting-edge OCR engine. This way you’ll be sure that the text obtained is reliable.
  • And third, it is affordable; you can try its seven-day no-cost trial before upgrading to a paid plan.

Reasons To Employ The Image To Text Converter API


How To Start Using Optical Character Recognition API

  1. Go to Optical Character Recognition API and simply click on the button “Try for 7 days” to start using the API.
  2. Register on Zyla API Hub. 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!
  3. Enter the URL of the document you want to convert into digital information and use the endpoint IMAGE ANALYSIS.
  4. Make the API call by pressing the button “Test” and wait for the response.

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"
}
]
}
]
}
]
}
]
}

Furthermore, there are numerous options available if you wish to make more API calls to Optical Character Recognition API, which will surely meet your needs. Fortunately, Zyla API Hub accepts all widely used debit and credit cards. And one of the most recognized payment processors in the world, Stripe, powers this payment system. Since it makes use of cutting-edge security measures, subscribing to the APIs at Zyla API Hub is super safe and reliable!

If you found this post interesting and want to know more, continue reading at: How To Use The Optical Character Recognition API

Published inAPI
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