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Visual AI API for image, editing, and video workflows

CodeinCloud is the comprehensive IDE on the cloud by which you can connect your Live Servers through SSH Connection and your hosting directories with FTP access and Enjoy the Live Developments with beautifully designed code :)

Website, pricing, platforms and company facts side by side.
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| Website | pixapi.ai | codeincloud.net |
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In their own words, as submitted to SaaSHub.


Pixapi is a unified visual AI API for image generation, image editing, and asynchronous video generation. Choose a model and settings, see the exact credit cost before you send the request, then call everything through one Bearer-authenticated API — one key, one prepaid credit balance, no...
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As answered by people managing Pixapi.ai and CodeinCloud.
Pixapi.ai's answer
Pixapi makes visual AI costs predictable: instead of token math after the fact, you pick a model and settings and see the exact credit cost before submitting the request. One prepaid credit balance (1 credit ≈ $0.01) covers image generation, image editing, and asynchronous video through a single Bearer-authenticated API, with failed generations not charged.
Pixapi.ai's answer
Every model price is published per image or per second with no hidden multipliers, so budgets are auditable line by line in the console. Current pricing-page comparisons show supported image routes priced below official list rates (for example, gemini-2.5-flash-image at 2 credits ≈ $0.02 versus ~$0.039). One API key and credit balance cover both images and async video, so there are no separate accounts per provider.
Pixapi.ai's answer
Developers and small teams that ship image or video generation into products: SaaS backends needing predictable per-image credit spend, product/marketing teams running image editing workflows, and builders automating text-to-video or image-to-video with async tasks. AI agent developers can also wire models in through the remote MCP endpoint.
Pixapi.ai's answer
A REST API with Bearer authentication (POST /v1/images/generations for images, POST /v1/async/videos/generations with task polling via GET /v1/tasks/{id} for video), a model catalog with per-model documentation, and a remote MCP endpoint for AI agents.
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