Prompt
Do I need a separate API for image editing and inpainting?
Latest observation
Not necessarily.
Whether you need a separate API for image editing/inpainting depends on the image model/provider you’re using:
- Some APIs include editing/inpainting in the same endpoint as image generation, usually with extra parameters like a mask, edit prompt, or input image.
- Some providers split them into separate endpoints:
- one for generation
- one for editing/inpainting
- sometimes another for outpainting
In practice
If you’re integrating a model like OpenAI’s image tools, you may be able to use a single images API with different modes/features, rather than a completely separate product. But if your provider’s docs show a dedicated “edit” endpoint, then yes, you’d use that one for inpainting.
Quick rule
- Need to modify part of an existing image? Look for edit/inpaint support
- Only generating new images? Use the generation endpoint
- Want a simpler integration? Choose a provider/API that supports both under one interface
If you tell me which API/provider you’re using, I can tell you exactly whether it’s one endpoint or two.
Brands
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
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