Clarifai
APIAI-Powered Computer Vision API for Image & Video Analysis
Overview
Clarifai’s RESTful Computer Vision API provides endpoints for image/video classification, object detection, face recognition, OCR, and content moderation. Responses are JSON-formatted, including labels, confidence scores, bounding boxes, and metadata. Use cases include automating content filtering, building visual search for e-commerce, analyzing social media visuals for brand mentions, enhancing accessibility via image-to-text, and surveillance object detection. It supports batch processing and integrates with Python, JavaScript, and Java SDKs, ideal for developers building ML-powered visual applications.
Example Integration (JavaScript)
fetch('https://docs.clarifai.com/api-guide/api-overview')
.then(res => res.json())
.then(data => console.log(data))
.catch(err => console.error(err)); Key Features
- RESTful API
- JSON Responses
- Multi-Task Vision (Classification, Detection, OCR)
- Batch Processing
- SDKs for Popular Languages
- Custom Model Training
Frequently Asked Questions
? Is Clarifai free to use?
Yes, Clarifai offers a free tier with limited API calls and basic features. Paid plans unlock higher usage limits and advanced capabilities like custom model training.
? Does it require an API Key?
Yes, Clarifai requires an API key for authentication. You can get one by creating an account on their platform.
? What is the response format?
Clarifai’s API responses are in JSON format, containing structured data such as labels, confidence scores, bounding boxes, and metadata for visual analysis results.
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Tool Info
Pros
- ⊕ Easy Integration with SDKs
- ⊕ Wide Range of Visual Tasks
- ⊕ Scalable Enterprise Support
- ⊕ Customizable Models
Cons
- ⊖ Freemium Tier Usage Limits
- ⊖ Advanced Features Require Paid Plans
- ⊖ Custom Model Training Has Steeper Learning Curve