Brand logos appear in social media posts, product packaging, sports broadcasts, and storefronts. A logo detection API identifies them automatically — returning the brand name, confidence score, and bounding polygon coordinates.
Why Logo Detection?
- Brand monitoring — Track where your logo appears across the internet, including visual-only mentions that text-based tools miss
- Counterfeit detection — Scan e-commerce listings for unauthorized logo usage
- Sponsorship tracking — Quantify logo screen time in broadcasts and events
- Competitive intelligence — Benchmark your visual presence against competitors
Python Example
import requests
api_url = "https://logos-detection.p.rapidapi.com/detect-logo"
headers = {
"x-rapidapi-host": "logos-detection.p.rapidapi.com",
"x-rapidapi-key": "YOUR_API_KEY",
}
response = requests.post(
api_url,
headers={**headers, "Content-Type": "application/x-www-form-urlencoded"},
data={"url": "https://example.com/photo.jpg"},
)
data = response.json()
for logo in data["body"]["logos"]:
name = logo["description"]
score = logo["score"]
coords = ", ".join(f"({v['x']}, {v['y']})" for v in logo["boundingPoly"])
print(f"{name} (confidence: {score:.0%}) at [{coords}]")
Response Format
{
"statusCode": 200,
"body": {
"logos": [
{
"description": "Apple",
"score": 0.65,
"boundingPoly": [
{ "x": 349, "y": 529 },
{ "x": 402, "y": 529 },
{ "x": 402, "y": 601 },
{ "x": 349, "y": 601 }
]
}
]
}
}
Each detection includes the brand name, confidence score, and a bounding polygon for exact logo location.
Tips
- Use images where logos are at least 50px wide for reliable detection
- Filter by confidence score — 0.6+ for dashboards, 0.85+ for automated takedowns
- Handle multiple logos per image (sports/events often have dozens)
- Use bounding polygons to draw visual overlays for QA dashboards
👉 Read the full tutorial with cURL, JavaScript examples and more use cases
Top comments (0)