How to Choose a Text-to-Image API for Marketing Creatives and Social Ads

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A solo founder evaluating text-to-image APIs for marketing posters and social ads recommends prioritising prompt adherence and style control over raw output resolution. Key failure points in ad creatives include poor prompt comprehension, unreliable in-image typography, and high artifact rates — not the number of models available. For placements on Meta, TikTok, and LinkedIn, native output from most hosted models already meets resolution requirements, making upscaling unnecessary for digital use. Print formats such as A3 at 300 dpi remain beyond native generation limits, requiring a separate generative super-resolution tool like Real-ESRGAN rather than simple resampling. The author recommends OpenAI or Google Imagen for copy-heavy creatives, Replicate or Amazon Bedrock for seed control, and a multi-vendor gateway when managing multiple platforms from a single app.

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