python - How to Use Gemini API to Process and Extract Data from an Image? - Stack Overflow

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I'm working on integrating Google's Gemini API into my project, where I need to analyze an image and extract meaningful data from it. However, I'm unsure about the proper way to send an image to Gemini and get a response.

My Goal: Upload or provide an image to the Gemini API. Get text-based information about the image (such as objects, text, or descriptions). My Questions: What is the correct way to send an image to the Gemini API? Should it be base64-encoded or as a URL? What parameters should be included in the request? How can I interpret the response from Gemini to extract the relevant data? Are there any specific limitations on image size or format? What I've Tried: I checked the Google Gemini API documentation but found limited examples related to image processing. I attempted using Python's requests library, but I am unsure about the correct payload structure. If someone has successfully used Gemini API for image analysis, please share an example request and response format.

I'm working on integrating Google's Gemini API into my project, where I need to analyze an image and extract meaningful data from it. However, I'm unsure about the proper way to send an image to Gemini and get a response.

My Goal: Upload or provide an image to the Gemini API. Get text-based information about the image (such as objects, text, or descriptions). My Questions: What is the correct way to send an image to the Gemini API? Should it be base64-encoded or as a URL? What parameters should be included in the request? How can I interpret the response from Gemini to extract the relevant data? Are there any specific limitations on image size or format? What I've Tried: I checked the Google Gemini API documentation but found limited examples related to image processing. I attempted using Python's requests library, but I am unsure about the correct payload structure. If someone has successfully used Gemini API for image analysis, please share an example request and response format.

• python
• google-gemini

Share Improve this question Follow edited Feb 16 at 14:19 VLAZ 29.1k99 gold badges6262 silver badges8484 bronze badges asked Feb 16 at 13:36 Arlan KaliyevArlan Kaliyev 11 2

• Have you tried? You really need to make an attempt with some code first, then come back with questions when you get stuck. Go read the documentation and make an attempt first: ai.google.dev/gemini-api/docs/vision – djsumdog Commented Feb 16 at 13:48
• Please show us you have you tried so far. – Memos Electron Commented Feb 16 at 21:18

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For Python, it is easier to work with the Python unified SDK than playing directly with the endpoints using libs like requests.

Using the Python SDK, you have two ways to send images within your prompts:

1. you can send them inline, very straightforward:

image = Image.open(img_path)

response = client.models.generate_content(
    model=MODEL_ID,
    contents=[
        image,
        "ask something about the image here"
    ]
)

Or you can use the (File API)[https://googleapis.github.io/python-genai/genai.html#genai.files.AsyncFiles.upload] for payloads that may be higher than 20MB. Using that you will first upload the media using the SDK:

file_ref = client.files.upload(path=img_path)

And then you will reference the file API object file_ref within your prompt:

response = client.models.generate_content(
    model=MODEL_ID,
    contents=[
        file_ref,
        "ask something about the image here"
    ]
)

The response for your requests using those example requests will be text only and will can handle the results in the same way you do for text only prompts - like exploring the response object with structures like response.text for the model answer in text. more details about the response object structure can be found at the SDK reference doc.

This Gemini API get started notebook may be useful as well.

hope that helps.

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