8/11/2025

Your Go-To Guide for Troubleshooting Image Parsing in OpenWebUI & Ollama

Hey everyone, so you've dived into the awesome world of local LLMs with OpenWebUI & Ollama. It’s pretty magical, right? Being able to chat with powerful AI models right on your own machine is a game-changer. But then you try to upload an image, maybe ask the AI to describe a picture or read some text from a screenshot, &... nothing. The spinner just spins forever, or you get a weird error. Sound familiar?
Honestly, you're not alone. Getting image parsing to work smoothly can sometimes feel like a dark art. There are a bunch of little things that can go wrong, from network settings to using the wrong model. But don't worry, I've spent a TON of time digging through forums, GitHub issues, & my own setups to figure out the common culprits.
Turns out, most problems fall into a few key categories. We're going to walk through all of them, from the simple "oops, wrong button" fixes to the more nitty-gritty network configurations. By the end of this, you should have a much clearer picture (pun intended) of what's going on under the hood & how to fix it.

First Things First: Are You Using a Vision Model?

This might sound SUPER basic, but it's the most common reason image uploads fail. I've seen so many people, myself included at first, try to upload an image to a model like Llama 3 or Mistral & expect it to work.
Here's the thing: standard large language models are text-only. They can't "see" or process visual information. To work with images, you NEED to be using a multimodal model, often called a "vision" model.
These are special models trained to understand both text & images. For the Ollama ecosystem, the most popular ones are:
  • LLaVA (Large Language and Vision Assistant): This is one of the originals & still a solid choice.
  • Llama 3.2-Vision: A newer, powerful vision model that's getting a lot of attention.
  • Other finetunes: The community is always creating new vision-capable models, so keep an eye out for those as well.
How to check & fix it:
  1. In OpenWebUI, when you select a model from the dropdown, make sure its name implies it has vision capabilities (e.g.,
    1 llava
    ,
    1 llama3.2-vision
    ).
  2. If you don't have one, pull it using the Ollama command line. Open your terminal & run:

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