![]() We can run the detection inside the post method when the file is uploaded. Here's a repository with an example of its integration. The Vision API can perform feature detection on a local image file by sending the contents of the image file as a base64 encoded string in the body of your request. You can also check into a specific branch on github to go over its implementation NB: each feature has its own route in the web.php file for clarity purposes. In order We'll go straight to exploring how Optical character recognition works on file uploads because we already have a form for uploading files from the previous feature integration. In this tutorial How to use Google cloud vision API safe search detection to detect explicit content on image uploads in Laravel, we covered the details on how to create a Google Cloud Platform (GCP) project, service account credentials and cloud vision package integration into Laravel. Other features of the TextAnnotation can be found here Please refer to the TextAnnotation.TextProperty message definition below for more detail. Properties describe detected languages, breaks etc. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Each structural component, starting from Page, may further have their own properties. TextAnnotation contains a structured representation of OCR extracted text. The JSON includes page, block, paragraph, word, and break information. The JSON includes the entire extracted string, individual words, and their bounding boxes.ĭOCUMENT_TEXT_DETECTION also extracts text from an image, but the response is optimized for dense text and documents. For example, a photograph might contain a street or traffic sign. TEXT_DETECTION detects and extracts text from any image. There are two annotation features that support optical character recognition (OCR): The Vision API can detect and extract text from images. In this article, we'll be looking at how to use the Google cloud vision API optical character recognition(OCR) to detect text in files and images in a Laravel application. ![]()
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