Home Projects flatkey-cli
flatkey-cli
JavaScript

flatkey-cli

Flatkey media generation CLI for images, videos, audio, text, credits, and model discovery.

by flatkey-ai · GitHub
Stars
License
Created
Last commit
Category
Language
aiaudio-generationcliMITJavaScript
View on GitHub
In plain words

Generate images, videos, audio, and text from your computer's terminal using a single command and credit balance.

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 →
flatkey-cli — GitHub preview card
📈 Star history
679171
2026-07-312026-08-31
📈 Track flatkey-cli

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

Flatkey media generation CLI for images, videos, audio, text, credits, and model discovery.

flatkey-cli has 679 stars on GitHub. flatkey-cli is written mainly in JavaScript. It has been in active development since 2026. flatkey-cli is available under the MIT license. Its main topics are ai, audio-generation, cli, generative-ai.

Frequently asked questions

What is flatkey-cli?

Flatkey media generation CLI for images, videos, audio, text, credits, and model discovery.

Is flatkey-cli open source?

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

Is flatkey-cli free?

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

What license does flatkey-cli use?

flatkey-cli is available under the MIT license.

What language is flatkey-cli written in?

flatkey-cli is written mainly in JavaScript.

🏅 Maintainer of this project?
olud.ai badge — flatkey-cli

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

[![olud.ai](https://olud.ai/badge.php?tool=flatkey-ai-flatkey-cli)](https://olud.ai/project/flatkey-ai-flatkey-cli.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.