🪙Credits and Payments

Help with Glif credits and payments.

Credits allow you to generate images, text, audio, and more on Glif. They also help fund Glif, so we can bring you even more powerful tools in the future!

Credits and Payments FAQs

Pricing and Rate Limits

Q: How many free credits do I get with my new account?

A: All users get 10 free credits per day. These credits can be used to run any Glifs on the site, with each Glif costing a different number of credits depending on AI models being used.

Q: How do I add more credits to my account?

A: Visit our pricing page and select a one-time credit bundle to top-up your credit limit.

Q: How much do credits cost?

A: Credit bundles are available starting at $1.99 for 200 credits, with larger business bundles available up to $1,000. Learn more here on our pricing page. Monthly subscription plans with additional benefits will be available soon!

Q: What are the commercial usage rights? A: All content generated using paid credits can be used for commercial purposes.

Q: Can I gift credits to another Glif user?

A: Not currently.

Payment Troubleshooting

Q: Why is my credit card getting declined?

A: At the moment, we do not accept payments from countries that are not supported by Stripe. Your card may also have been declined due to other issues such as a CVC mismatch or markers of potential fraudulent activity. You can learn more about Stripe decline reasons here.

Credits Usage

Q: What happens if my run fails?

A: If your run fails, your credits will be refunded. If you do not believe you have the correct amount of credits remaining in your account, please reach out to [email protected] with your Glif account details.

Q: When does the daily run limit reset?

A: The daily run limit resets at midnight UTC time.

Refunds

Q: The agent generated a piece of media (image or video) that did not look how I expected. Can I get a refund for my used credits?

A: In cases like these, we are not able to process a refund to your account. It is the nature of AI tools to have some unexpected initial results that require fine-tuning. Some trial and error may be required initially to get the precise output that you're looking for.