Forum Discussion
Confused about commercial use of microsoft AI images
- Dec 15, 2023
Hi askingandasking,
while both Bing Image Creator and DALL·E 3 are AI-driven tools, they differ in their terms of use for commercial applications.
Regarding Bing Image Creator, it restricts the use of generated images to personal, non-commercial purposes. Essentially, any images created with Bing Image Creator cannot be used for commercial activities.
In contrast, DALL·E 3, provided by OpenAI, allows for commercial use of the images it generates.
This implies that the images created using DALL·E 3 belong to the user, granting the right to reprint, sell, and merchandise them, whether generated through free or paid credits.To summarize, while both tools leverage AI to produce images, it's important to note that their terms of use are set by their respective providers and are not identical.
Use of images generated via bing create for commercial use - Microsoft Community
Can I use images generated with AI Bing Image Creator for commercial - Microsoft Community
DALL·E - Content Policy FAQ | OpenAI Help CenterPlease click Mark as Best Response & Like if my post helped you to solve your issue.
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Kindest regards,
Leon Pavesic
(LinkedIn)
I had similar confusion when looking into the commercial use of AI-generated images, especially with different platforms having slightly different terms.
From what I understand, Microsoft generally allows commercial use, but it depends on the specific service (like Designer, Bing Image Creator, etc.) and whether there are any restrictions tied to generated content or training data. What helped me a bit was stepping back and looking at how AI-generated content is actually positioned in broader AI workflows — not just legally, but also in terms of ownership, processing, and usage scenarios. I came across a concise overview that touches on how modern AI systems (including generative ones) are structured and used in practice: https://techstoffe.com/
It doesn’t directly answer the legal question, but it does give useful context on how these tools are typically integrated into real-world pipelines, which made the licensing side a bit easier to reason about.