Introducing our PNG OCR API, a sophisticated solution designed to elevate your text extraction experience from PNG files. This API effortlessly detects and extracts characters, transforming visual data into editable content with unprecedented accuracy and efficiency. Say goodbye to manual data entry as you harness the power of optical character recognition (OCR) technology.
Specifically engineered for PNG files, our API seamlessly integrates with image URLs, streamlining the process and making it accessible with unparalleled convenience. Whether you're dealing with textual content in invoices, documents, or creative designs, this API offers a reliable way to convert visual information into machine-readable text.
Our commitment to user-friendly functionality extends to its exclusive focus on image URLs, ensuring a hassle-free integration into your applications. By limiting support to URLs, we prioritize efficiency without compromising security or complicating the workflow. This approach enables developers to effortlessly incorporate the PNG OCR API into their projects, enhancing productivity and reducing the complexities associated with image uploads.
Experience a transformative shift in data handling and manipulation. Embrace the PNG OCR API and unlock a new realm of possibilities where visual content seamlessly translates into actionable data, propelling your applications to new heights of accuracy and usability. Elevate your projects with the unparalleled precision and convenience of our PNG OCR API today.
Pass the image URL and receive its extracted text.
Besides the number of API calls, there are no other limitations.
Extract the text from your images URLs with ease.
OCR - Endpoint Features
| Object | Description |
|---|---|
Request Body |
[Required] Json |
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Continue with Github
{"success":true,"response":"With the sorrow of living so great, the sorrow of punishment had to be piti-\nless. We lived for the day and died for it. When there was reason and desire to\npunish we wrote our lesson with gun or whip immediately in the sullen flesh\nof the sufferer, and the case was beyond appeal. The desert did not afford the\nrefined slow penalties of courts and gaols.\n\nOfcourse our rewards and pleasures were as suddenly sweeping as our troubles;\nbut, to me in particular, they bulked less large. Bedouin ways were hard even for\nthose brought up to them, and for strangers terrible: a death in life. When the\nmarch or labour ended I had no energy to record sensation, nor while it lasted\nany leisure to see the spiritual loveliness which sometimes came upon us by the\nway. In my notes, the cruel rather than the beautiful found place. We no doubt\nenjoyed more the rare moments of peace and forgetfulness; but I remember more\nthe agony, the terrors, and the mistakes. Our life is not summed up in what Ihave\nwritten (there are things not to be repeated in cold blood for very shame); but\nwhat I have written was in and of our life. Pray God that men reading the story\nwill not, for love of the glamour of strangeness, go out to prostitute themselves\nand their talents in serving another race.\n\nLy\n\n(I.E. Lawrence, Seven Pillars of Wisdom)"}
curl --location --request POST 'https://zylalabs.com/api/3343/png+ocr+api/3619/ocr' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{"url": "https://i.stack.imgur.com/XuJOl.png"}'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long term commitments. One click upgrade/downgrade or cancellation. No questions asked.
The PNG OCR API is designed for optical character recognition (OCR) specifically tailored to PNG files. Its primary function is to detect and extract characters from PNG images, facilitating the conversion of visual data into machine-readable text.
The API exclusively supports image URLs. It does not accommodate image uploads. This design choice ensures streamlined integration, simplifying the workflow for developers while maintaining a focus on efficiency and security.
Yes, the PNG OCR API is engineered to handle varying sizes of PNG files. However, the processing time may depend on the file size and available resources. It is recommended to assess the API's response times for larger files during integration.
Applications involving data entry automation, content indexing for search engines, document management systems, e-commerce platforms for product information extraction, and collaborative design tools are just a few examples that can benefit from the PNG OCR API.
The accuracy of character extraction depends on factors such as image quality, resolution, and clarity. The API employs advanced OCR technology, and while it provides high accuracy, developers should assess performance based on their specific use cases and test scenarios.
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