How I Built a Photo Editing SaaS with Zero ML Code (Just 1 API)

I wanted to build a photo editing SaaS. Background removal, face enhancement, anime filters, OCR, content moderation. Each feature normally requires its own ML model, its own GPU, its own API subscription. Instead, I built the whole thing with one API, one Lambda function, and zero ML code. Twelve AI features, $15/month infrastructure cost, 13x margin on every request. The 12 Features Every feature is a single POST request to the same API host. Same key, same auth, same response format. Feature Endpoint Credits Remove background /v1/remove-background 1 Blur background /v1/blur-background 1 Replace background /v1/color-background 1 Enhance faces /v1/enhance-face 1 Anime/Ghibli filter /v1/cartoonize 1 Colorize B&W photos /v1/colorize-photo 1 Pencil sketch /v1/photo-to-portrait 1 Face swap /v1/swap-face 1 Extract text (OCR) /v1/ocr 2 Detect objects /v1/objects-detection 2 Face analysis /v1/faceanalysis 2 NSFW check /v1/nsfw-detect 2 All on ai-all-in-one.p.rapidapi.com . One host, one key.