Identify likely social media platform
using AI
Below is a free classifier to identify likely social media platform. Just upload your image, and our AI will predict which social media platform the image belongs to - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("likely-social-media-platform", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/likely-social-media-platform/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/likely-social-media-platform/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict which social media platform the image belongs to.
This pretrained image model uses a Nyckel-created dataset and has 16 labels, including Discord, Facebook, Flickr, Instagram, Linkedin, Pinterest, Reddit, Snapchat, Telegram and Tiktok.
We'll also show a confidence score (the higher the number, the more confident the AI model is around which social media platform the image belongs to).
Whether you're just curious or building likely social media platform detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify likely social media platform at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Content Moderation: The false image classification function can assist social media platforms in identifying and flagging misleading or inappropriate images. By analyzing user-uploaded content, the system can filter out images that are likely fake or manipulated, thus maintaining the integrity of the platform.
- Advertising Verification: Companies can use this identifier to ensure that advertisements posted on social media do not contain misleading visuals. By automatically detecting false images, brands can protect their reputation and ensure compliance with advertising standards.
- User Safety Enhancement: This technology can be implemented to enhance user safety by identifying images that may pose risks, such as deepfakes or manipulated photos. Social media platforms can proactively warn users or remove harmful content, fostering a safer online environment.
- Brand Protection: Brands can employ this classification function to monitor their online presence and identify fake images that misuse their logos or trademarks. This helps in taking timely action against potential brand infringement or reputational damage.
- Influencer and Partnership Monitoring: Influencer marketing campaigns often rely on authentic visuals. The function can help brands analyze influencer-generated content to ensure that the images align with their authenticity criteria and do not mislead their audience.
- News Verification: Media organizations can utilize this function to enhance their fact-checking processes. By identifying false images shared across social media, they can reduce the spread of misinformation and better inform their audience.
- Research and Analytics: Researchers can leverage the classification technology for social media sentiment analysis studies. By identifying and filtering out false images, they can ensure more accurate data collection and insights related to public opinion and trends.