Object Detection API

TL;DR

Detect objects in images and get labels, confidence scores, and bounding box coordinates via API.
5,000 free queries per month.

Here's a sample response:

[
  {
    "object_name": "mango",
    "confidence_score": 0.61,
    "region": {
      "top_left_x": 7,
      "top_left_y": 177,
      "bottom_right_x": 718,
      "bottom_right_y": 1262
    }
  }
]

What is this?

The Object Detection API identifies objects in your images using advanced neural networks.

Upload an image, get back detected objects with labels, confidence scores, and exact bounding box coordinates—all in clean JSON.

Perfect for e-commerce product tagging, content moderation, inventory management, or any app that needs to understand what's in an image.

Why use it?

1. Generous Free Plan

5,000 queries per month. Free. No credit card required.

That's 5,000 image analyses every month at no cost. Build and test your computer vision application without upfront costs.

2. Affordable Pricing

When you need more, our paid plans cost less than alternatives:

$25 gets you 100K queries/month ($0.25/1K)
$75 gets you 1M queries/month ($0.075/1K)
$150 gets you 10M queries/month ($0.015/1K)

3. 99.99% Uptime SLA

Production apps demand reliability.

We maintain a 99.99% uptime SLA.

How to use it?

Simple REST API. Here's how it works:

Sign up on Omkar Cloud by visiting this link.
Visit the API Key Page.
Copy your API key.
Make a request with it:

cURL:

curl -X POST "https://object-detection-api.omkar.cloud/detect" \
  -H "API-Key: YOUR_API_KEY" \
  -F "image=@photo.jpg"

Python:

import requests

api_key = "YOUR_API_KEY"

with open("photo.jpg", "rb") as image_file:
    response = requests.post(
        "https://object-detection-api.omkar.cloud/detect",
        headers={"API-Key": api_key},
        files={"image": image_file}
    )
print(response.json())

JavaScript (Node.js axios):

import axios from "axios";
import FormData from "form-data";
import fs from "fs";

const apiKey = "YOUR_API_KEY";
const form = new FormData();
form.append("image", fs.createReadStream("photo.jpg"));

const response = await axios.post(
    "https://object-detection-api.omkar.cloud/detect",
    form,
    {
        headers: {
            "API-Key": apiKey,
            ...form.getHeaders()
        }
    }
);
console.log(response.data);

Get detected objects and use them in your app.

That's it. Image to object detection in milliseconds.

API Reference

Endpoint

POST https://object-detection-api.omkar.cloud/detect

Request

Content-Type: multipart/form-data
image (required, file): Image file in JPEG or PNG format. Max file size: 10MB.

Response

Returns an array of detected objects:

[
  {
    "object_name": "mango",
    "confidence_score": 0.61,
    "region": {
      "top_left_x": 7,
      "top_left_y": 177,
      "bottom_right_x": 718,
      "bottom_right_y": 1262
    }
  }
]

❓ What data does the API return?

You get:

object_name — What the object is (e.g., "mango", "car", "person")
confidence_score — How confident the model is (0.0 to 1.0)
region — Bounding box coordinates with top_left_x, top_left_y, bottom_right_x, bottom_right_y

All in structured JSON. Ready to use in your app.

❓ How accurate is the data?

We use neural networks optimized for precision and recall.

For most common objects (people, vehicles, animals, everyday items), accuracy is reliable for production use.

❓ What image formats are supported?

JPEG and PNG.

❓ What is the maximum image size?

10MB

❓ Can I detect multiple objects in one image?

Yes.

The API returns all detected objects in the image. Upload a photo with 10 objects, get 10 detection results back—each with its own label, confidence score, and bounding box.

❓ What's the difference between confidence score and bounding box?

Confidence score tells you how sure the model is about the detection. Range is 0.0 to 1.0. Higher is better. Use this to filter out low-confidence detections.

Bounding box tells you where the object is in the image. Four coordinates define a rectangle around the detected object. Use this to crop, highlight, or locate objects in your UI.

❓ How fast is the API?

Typical response time is under 800ms for standard images.

❓ Do you store my images?

No. We delete your image after processing.

❓ Tell me about Omkar Cloud.

We're an API services company with 20+ tools for OCR, document processing, and developer APIs.

Some things we are proud of:

We built Botasaurus, an open-source Python framework with 3.7K+ GitHub stars
Sponsored by 1000+ developers on GitHub

❓ How much does it cost?

Free — $0 — 5,000 queries/month
Starter — $25 — 100,000 queries/month
Grow — $75 — 1,000,000 queries/month
Scale — $150 — 10,000,000 queries/month

Why we're affordable: Low overhead. We run lean and pass the savings to you.

Note: You get 5,000 free queries every month. Most users find this covers their needs.

❓ How do I get a refund?

If the product doesn't meet your needs within 90 days, get a refund in 2 clicks.

Go to Transactions Page
Click "Request Refund"
Confirm by clicking Request Refund again. The amount will be refunded within 1-2 business days. We'll email you updates.

No emails. No explanations. Simple 2-click process.

❓ Is there a catch in refunds?

No catch.

It's a simple 2-click process, exactly as described above.

Questions? We have answers.

Reach out anytime. We will solve your query within 1 working day.