It is OCR month at 0CodeKit and we want to highlight the amazing journey of Optical Character Recognition (OCR) technology. It all began with an American computer scientist who created "omni-font OCR," allowing computers to read printed text in almost any font. Today, OCR technology can handle various types of documents, including camera images, scanned files, and PDF documents that only contain images.
With this in mind, we created two endpoints that use Optical Character Recognition to identify and extract text from images or PDFs, helping you find the best fit for your needs.
The Picture Text Recognition endpoint is a great option for those looking for a simple way to extract text from images. By providing the URL of your image, the API can quickly process it and retrieve the text. šø This feature is designed for fast digitization, turning images into searchable and editable text. It also improves accessibility, allowing individuals with visual impairments to access the text in images more easily.š©āš¦Æ
On the other hand, if you have more complex needs, the Advanced OCR endpoint offers greater power and flexibility. š This option is for users who require high accuracy and more control over text extraction. You can expect precise text capture, customizable output formats, and clear error messages to keep everything running smoothly. This endpoint is especially useful for tasks such as converting scanned documents into digital files or managing documents across various fields, including finance, healthcare, and legal services. š
So, how do you choose the right endpoint for you? š¤ If you need a straightforward and effective way to extract text from images, the Picture Text Recognition endpoint will work well for you. But if youāre looking for a more advanced tool for handling complex documents, the Advanced OCR is a better choice. You can now select the right tool for your needs and make your document processing tasks easier and more efficient.