Home Projects CLIP
CLIP
Jupyter Notebook

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

by openai · GitHub
Top 5% most starred in the catalogue
Stars
Forks
License
Created
Last commit
deep-learningmachine-learningMITJupyter Notebook
View on GitHub
In plain words

Predict relevant text snippets based on given images using AI.

From the README

Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
CLIP — GitHub preview card
📈 Star history
34.0k33.9k
2026-06-272026-08-31
📈 Track CLIP

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

CLIP has 34k stars on GitHub. It has been forked 4k times. CLIP is written mainly in Jupyter Notebook. It has been in active development since 2020. CLIP is available under the MIT license. Its main topics are deep-learning, machine-learning.

Frequently asked questions

What is CLIP?

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Is CLIP open source?

CLIP is an open-source project. It is released under the MIT license.

Is CLIP free?

Yes. CLIP is free and open source — you can use, modify and self-host it.

What license does CLIP use?

CLIP is available under the MIT license.

What language is CLIP written in?

CLIP is written mainly in Jupyter Notebook.

🏅 Maintainer of this project?
olud.ai badge — CLIP

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=openai-clip)](https://olud.ai/project/openai-clip.html)
More badge options →
🧬 Related projects