AI Image API · 18 tools

Best AI Image API Tools (2026)

Compare AI image APIs for text-to-image, image-to-image, inpainting, background removal, upscaling, model choice, and pricing.

All AI Image API tools

CodeProxy logo
codeproxy.dev
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CodeProxy is a high-value subscription platform and API gateway designed for heavy OpenClaw, Codex, and Claude Code users, combining multi-account pooling, intelligent routing, and large-quota packages to sustain long coding workflows.

Crun logo
crun.ai
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Crun is a unified AI API gateway that provides access to 100+ video, image, audio, and chat models through a single integration, focused on developer-friendly endpoints, lower cost than direct providers, and 99.9% availability.

NanoBananaAPI logo
nanobananaapi.ai
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NanoBananaAPI is a dedicated API gateway for Google Nano Banana 2 and Nano Banana Pro image generation, offering 4K output and editing at prices 40-60% below Google, fal.ai, and Replicate.

PoYo.ai is a premium AI API platform for developers with access to 500+ image, video, music, and chat models—including Sora 2, Nano Banana, GPT-4o, and Claude 4.5—through a single credit-based integration with no subscriptions.

Boogu-Image-0.1 is an Apache-2.0 open-source unified image generation and editing model family, including Base, Turbo, Edit, and other variants that provide high-quality text-to-image generation, fast generation, image editing, and Chinese-English text rendering.

Atlas Cloud logo
www.atlascloud.ai
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Atlas Cloud is a full-modal AI inference platform providing a unified API for 300+ models across text, image, video, and audio. Pay-as-you-go, OpenAI-compatible, with Day-0 access to the latest models from OpenAI, Google, ByteDance, Alibaba, and more.

What is an AI image API?

An AI image API lets developers generate or edit images from their own app over HTTP — text-to-image, image-to-image, inpainting, upscaling, or background removal — without running models on their own hardware. You send a prompt or image and get back a generated image.

Core features to look for

  • Text-to-image and image-to-image endpoints
  • Inpainting, outpainting, and background removal
  • Upscaling and enhancement APIs
  • Model choice (SD, FLUX, and other hosted models)
  • Async jobs, webhooks, and batch generation
  • Usage-based pricing, SDKs, and free credits

Who uses AI image APIs, and how

01

In-app generation

Add text-to-image or avatars to your product without hosting models.

02

Editing pipelines

Automate background removal, upscaling, and inpainting at scale.

03

Batch & automation

Generate product shots or variations in bulk via async jobs.

04

Cost & model choice

Compare per-image pricing, models, and free credits for apps.

How does an AI image API work?

An AI image API hosts diffusion and vision models on the provider's servers and exposes them over HTTP. You send a prompt or source image with your API key; the model runs remotely — often as an async job you poll or get a webhook for — and returns an image, billed per image or per compute second.

Frequently asked questions