Identify tv networks by logo using AI

Below is a free classifier to identify tv networks by logo. Just upload your image, and our AI will predict which TV network the logo belongs to - in just seconds.

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("tv-networks-by-logo", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/tv-networks-by-logo/invoke', {
    method: 'POST',
    headers: {
        'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
        'Content-Type': 'application/json',
    },
    body: JSON.stringify(
        {"data": "your_image_url"}
    )
})
.then(response => response.json())
.then(data => console.log(data));


curl -X POST \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
    -d '{"data": "your_image_url"}' \
    https://www.nyckel.com/v1/functions/tv-networks-by-logo/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict which TV network the logo belongs to.

This pretrained image model uses a Nyckel-created dataset and has 30 labels, including A&E, Abc, Amc, Bbc, Bbc News, Bt Sports, Cartoon Network, Cbs, Cnn and Disney.

We'll also show a confidence score (the higher the number, the more confident the AI model is around which TV network the logo belongs to).

Whether you're just curious or building tv networks by logo detection into your application, we hope our classifier proves helpful.

Need to identify tv networks by logo at scale?

Get API or Zapier access to this classifier for free. It's perfect for:

Brand Sponsorship Validation: This function can analyze video content for the presence of specific TV network logos, assisting businesses in verifying whether sponsorship agreements are honored. By identifying logos in real-time, companies can ensure their branding is represented in line with contractual obligations.

Content Distribution Monitoring: Television networks can utilize this image classification function to monitor unauthorized distributions of their content. By detecting the logos in broadcast streams, networks can take action against violations, ensuring their intellectual property is protected.

Audience Measurement: This identifier can aid in tracking viewership by analyzing logos in user-generated content on social media platforms. By correlating logo appearances with engagement metrics, networks can better understand audience preferences and refine their content strategies.

Automated Ad Insertion: By identifying network logos in live streams, advertisers can dynamically insert relevant ads during programming. This capability enhances ad targeting effectiveness and can improve both viewer engagement and ad revenue for broadcasting companies.

Competitive Analysis: Companies can leverage this technology to monitor mentions and displays of competitor logos across various media. By analyzing the frequency and context of logo appearances, businesses can gain insights into competitor strategies and market positioning.

Compliance Reporting: Regulatory bodies can use this function to ensure compliance with broadcasting laws regarding logo usage. By automatically identifying logos in broadcast materials, they can streamline the auditing process for content legality and compliance with industry regulations.

Social Media Engagement Analytics: Networks can analyze social media posts to see how frequently their logos appear, measuring brand engagement and sentiment. This data can inform marketing strategies and help networks enhance their online presence and viewer interactions.