AI Engine — API Examples

Code examples for AI Engine APIs — computer vision, OCR, and image processing.
All APIs are available on RapidAPI with a free tier.

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APIs

API	Description	RapidAPI
Background Removal	Remove backgrounds from images and get a clean transparent PNG.	Subscribe
Emotion & Personality Analysis	Detect emotions and personality traits from text.	Subscribe
Face Analyzer	Detect faces and analyze age, gender, emotions, and facial features.	Subscribe
Face Restoration	Restore and enhance old, blurry, or low-quality face photos.	Subscribe
Face Swap	Swap faces between two images using AI.	Subscribe
Image Colorization	Colorize black-and-white photos with AI.	Subscribe
Image Generation	Generate images from text prompts using AI.	Subscribe
Label Image	Auto-tag images with descriptive labels and confidence scores.	Subscribe
Landmark Detection	Identify famous landmarks in photos with GPS coordinates.	Subscribe
Logo Detection	Detect brand logos in images.	Subscribe
Mask Detection	Detect whether people are wearing face masks.	Subscribe
NSFW Detect	Detect NSFW/inappropriate content in images for content moderation.	Subscribe
Object Detection	Detect and locate objects in images with bounding boxes.	Subscribe
OCR Wizard	Extract text from images with support for 200+ languages and handwriting.	Subscribe
Photo to Anime	Transform photos into anime, cartoon, or sketch styles.	Subscribe
PPE Detection	Detect personal protective equipment (helmets, masks, gloves) on people.	Subscribe

Getting Started

1. Create a free account on RapidAPI
2. Subscribe to any AI Engine API (free tier available)
3. Copy your API key from the RapidAPI dashboard
4. Set your API key as an environment variable:

export RAPIDAPI_KEY="your_api_key_here"

5. Run any example:

# cURL
bash background-removal/curl/example.sh

# Python
python3 background-removal/python/example.py

# JavaScript (Node.js 18+)
node background-removal/javascript/example.mjs

All examples read the RAPIDAPI_KEY environment variable automatically. You can also replace YOUR_API_KEY directly in the code if you prefer.

Structure

Each API folder contains working examples in three languages:

api-name/
├── README.md              # API description and response format
├── curl/example.sh        # cURL
├── python/example.py      # Python (requests)
└── javascript/example.mjs # Node.js (fetch)

Requirements

• cURL: any modern version
• Python: 3.7+ with requests (pip install requests)
• Node.js: 18+ (uses native fetch)

Links

• AI Engine Website
• Blog & Tutorials
• All APIs on RapidAPI
• Contact

License

MIT