OpenVisionAPI

API

Open source computer vision API powered by community-driven models

Overview

OpenVisionAPI provides RESTful endpoints for core computer vision tasks like image classification, object detection, and semantic segmentation, leveraging open-source models (e.g., YOLO, ResNet). It accepts images via URL or base64 encoding and returns structured JSON responses with task-specific outputs (labels, bounding boxes, masks). Ideal for integrating CV capabilities into apps, rapid prototyping, educational projects, or research without building custom model pipelines. Supports CORS for frontend integration and offers detailed documentation for easy setup.

Example Integration (JavaScript)

script.js JS


fetch('https://openvisionapi.com')
  .then(res => res.json())
  .then(data => console.log(data))
  .catch(err => console.error(err));

Key Features

RESTful endpoints
Open-source model integration
JSON response format
Multiple CV tasks support
No API key required for basic usage

Frequently Asked Questions

? Is OpenVisionAPI free to use?

Yes, OpenVisionAPI is free for basic usage with rate limits. Its open-source nature also allows self-hosting for unlimited access.

? Does it require an API Key?

Basic access to OpenVisionAPI does not require an API key. For higher rate limits or advanced features, check their official documentation for registration details.

? What is the response format?

All responses are in JSON format, containing task-specific outputs (e.g., class labels with confidence scores, bounding boxes for detection) and model metadata.

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Tool Info

Pricing Free

Category Machine Learning

Platform Public API

Pros

⊕ Completely open source
⊕ Zero cost for basic access
⊕ Easy integration with apps/projects
⊕ No need to train custom models

Cons

⊖ Rate limits on free usage
⊖ Limited to supported open-source models
⊖ No enterprise-level SLA or support