OpenAI GPT4 Vision API Python: How to Analyze Images with Python
OpenAI Vision API Image Content Extraction with Python - How to use OpenAI Vision API
The Open AI GPT4 Vision model is a powerful tool that goes beyond simple Optical Character Recognition (OCR). It can extract a wealth of information from images, such as identifying and locating objects within the scene. For example, you can use it to categorize the objects in your images, give a description of what those objects are and what may be going on in the image, answer specific questions about the image, perform sentiment analysis, ie what are the emotions displayed by the people in the image, and identify relationships between the objects.
In this video we are going to teach you how to setup and extract information from images, using the OpenAI Vision API service. Later, we will show you the accuracy of the output, so please stick around.
OpenAI models can do much more than just extract text from images. You can also extract other information about an image by asking questions about it, such as what is in the image, are the people happy, and much more. The results you get depend on what question you ask and how you ask the question. You can even combine text extraction and image content questions in the same API call.
For example - you are asking users to upload an image of a document for a specific purpose, such as proof of address or age. When the image is uploaded, you can ask OpenAI Vision what is displayed in the image, what text is included, or what type of document it is. The model will verify if the uploaded document is appropriate and contains the necessary information.
Other examples include extracting data from forms and tables in invoices or receipts, converting handwritten notes, and handling multiple languages in one image
You can send images to the API either by passing a web link or by encoding the image directly in the request. We will be using the local image option in this demo.
For image recognition and classification, OpenAI Vision uses LLM technology to interpret what it sees in the image you uploaded.
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