Identify if image is edited
using AI
Below is a free classifier to identify if image is edited. Just upload your image, and our AI will predict if the image has been edited - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-image-is-edited", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-image-is-edited/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/if-image-is-edited/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the image has been edited.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Edited and Original.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the image has been edited).
Whether you're just curious or building if image is edited detection into your application, we hope our classifier proves helpful.
Need to identify if image is edited at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Social Media Content Verification: This use case involves leveraging the image classification function to determine whether photos posted on social media have undergone edits. By identifying altered images, platforms can enhance their authenticity measures, combat misinformation, and provide users with clearer contexts around what they are viewing.
- Digital Forensics in Legal Cases: Law enforcement and legal teams can utilize the image editing identifier to verify the authenticity of photographic evidence presented in court. By detecting edited images, officials can better assess the integrity of evidence, strengthening their case or offering insights into potential tampering.
- E-commerce Trust and Safety: Online marketplaces can implement this technology to check product images submitted by sellers for any alterations. Ensuring that images are genuine helps maintain trust within the platform, reducing the potential for fraud and improving customer satisfaction.
- Journalism and News Media Integrity: News outlets can utilize the image editing identifier to authenticate images used in their reporting. By verifying whether an image has been altered, journalists can uphold ethical standards, maintain credibility with their audience, and reduce the spread of manipulated content.
- Brand Reputation Management: Companies can employ this function to monitor online images associated with their brand across various platforms. Identifying edited images that misrepresent their products or services allows them to take proactive measures and protect their brand integrity.
- Content Moderation in Online Communities: Online platforms that host user-generated content can use the image editing identifier to filter out manipulated images that do not comply with community guidelines. This helps ensure a safer and more authentic user experience by minimizing the chances of users encountering deceptive or harmful content.
- Image Archives and Preservation: Museums and cultural institutions can implement this function to maintain the integrity of their digital collections. By identifying any alterations in archival images, they can ensure that historical records are preserved accurately, supporting research and educational purposes.