ai-agent

CLIP: Get Image Insights

Name: CLIP: Get Image Insights
Author: openai

Predict relevant text snippets from images with CLIP, ideal for startup founders. 34k+ GitHub stars

34,064 stars4,041 forksJupyter NotebookHealth Score 8/10Updated 3/25/2026100% free · open source

What it does

CLIP predicts the most relevant text snippet given an image, allowing startup founders to automatically generate text descriptions of images

Install / run

pip install git+https://github.com/openai/CLIP.git

When to use it

•Automating image captioning for e-commerce products
•Generating text summaries of visual content for social media
•Creating image-based chatbot responses

Quick start

1Clone the CLIP repository using `git clone https://github.com/openai/CLIP.git`
2Navigate to the CLIP directory using `cd CLIP`
3Install the required packages using `pip install -r requirements.txt`
4Download the pre-trained models using `python scripts/download_pretrained.py`
5Run the example script using `python scripts/demo.py` to test the model

Ready-to-paste prompt

python scripts/demo.py --prompt 'A picture of a cat' --image-path 'path/to/image.jpg' --model 'ViT-B/32'

Heads up: The pre-trained models require a significant amount of disk space (around 1.5GB) and may take a while to download, so ensure you have sufficient storage and a stable internet connection

Saves to your device

Topics

deep-learning

machine-learning

How CLIP: Get Image Insights works

Codeflow

Free to inspect

CLIP: Get Image Insights is a small Jupyter Notebook project (~900 lines across 6 code files, plus 1 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit 5 months ago, MIT license, has a test suite.

Size

Small codebase

~900 lines · 6 code files · 7 min skim

Setup

One-command install

Installs like a normal app. Reading the code is optional.

Runs on

Python

No API keys detected

Jupyter Notebook 99%Python 1%

Where to start reading