
AI Engine APIs
Api4.ai Object Detection API
Api4.ai OCR API
Api4.ai Background Removal API
Api4.ai Face Analysis API
remove.bg for Desktop
AI Image Colorization
Api4.ai Brand Recognition API
Cachely.dev
nxCloud
AI Engine provides 18 production-ready computer vision APIs accessible via REST. Remove backgrounds, extract text from images and PDFs, detect faces with age and emotion analysis, moderate NSFW content, detect objects, generate AI images, swap faces, colorize old photos, and more. Each API processes images in under 500ms with pre-trained models โ no GPU, no training data, no infrastructure needed. Free tier with 30 requests/month per API, no credit card required.
Cachely is the managed self-hosted remote cache for Nx and Turborepo - the cache backend you'd otherwise build and run yourself, hosted for you on Cloudflare's edge (R2). It's a drop-in replacement for a DIY @nx/s3-cache / S3 bucket setup: point your build tool at Cachely with a token and two environment variables, and share build cache across CI and every developer's laptop.
Unlike a self-hosted cache, Cachely enforces read-only tokens at the API, so pull-request and fork builds can read but never write - closing the Nx cache-poisoning attack (CVE-2025-36852). It adds ROI reporting (the real build minutes and dollars the cache saved), per-tool insights, and build-optimization suggestions on top.
Pricing is a flat per-workspace subscription with no per-seat fees - add every developer, bot, and CI actor without watching the bill. Cachely never stores your source code; it caches only task outputs and their content hashes. Nx and Turborepo today; Bazel on the roadmap.
AI Engine APIs
Cachely.devAI Engine APIs's answer
Three reasons: breadth, simplicity, and cost. Most competitors focus on one capability (e.g., remove.bg for backgrounds only, Tesseract for OCR only). AI Engine covers 18+ APIs with a unified REST interface. The free tier lets developers test and build before committing. And there's no infrastructure to manage, no GPUs, no model training, no dependencies.
AI Engine APIs's answer
AI Engine offers multiple computer vision APIs under one platform โ background removal, OCR, face detection, NSFW moderation, object detection, image generation, face swap, and more. Instead of integrating multiple providers, developers get a single API key for all image processing needs. Every API responds in under 500ms with a free tier of 100 requests/month, no credit card required.
AI Engine APIs's answer
Developers and product teams who need to add image processing to their applications without building ML pipelines. Common use cases include e-commerce platforms automating product photo editing, SaaS apps adding identity verification, content platforms moderating user-uploaded images, and startups prototyping AI features quickly.
AI Engine APIs's answer
AI Engine was built to solve a common frustration: integrating computer vision into applications required stitching together multiple services, managing GPU infrastructure, and training custom models. We packaged the most common image processing tasks into simple REST APIs that any developer can call in one line of code.
AI Engine APIs's answer
Deep learning models built on convolutional neural networks and transformer architectures, served via a serverless cloud infrastructure on AWS. The APIs use Python for model inference, with a REST interface accessible from any programming language.
Api4.ai Object Detection API - High-performance Object Detection API for fast and precise image element recognition and analysis
nxCloud - nxCloud is a commercial OwnCloud provider
Api4.ai OCR API - Transform Images into Data with Our High-Accuracy OCR API
Api4.ai Background Removal API - Automatically and quickly remove image background with high accuracy
Api4.ai Face Analysis API - Face and facial landmark detection, face comparison
remove.bg for Desktop - Remove image backgrounds 100% automatically on Win/Mac/Linux