Identify design software brands
using AI
Below is a free classifier to identify design software brands. Just upload your image, and our AI will predict which design software brand it is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("design-software-brands", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/design-software-brands/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/design-software-brands/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict which design software brand it is.
This pretrained image model uses a Nyckel-created dataset and has 24 labels, including 3Ds Max, Adobe Illustrator, Adobe Indesign, Adobe Photoshop, Adobe Xd, Affinity Designer, Autocad, Axure Rp, Balsamiq and Blender.
We'll also show a confidence score (the higher the number, the more confident the AI model is around which design software brand it is).
Whether you're just curious or building design software brands detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify design software brands at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Brand Compliance Monitoring: This use case involves monitoring digital content for adherence to brand guidelines. The false image classification function can identify and flag images that do not align with the prescribed design elements of a software brand, helping companies maintain consistent branding across platforms.
- Marketing Campaign Optimization: Marketers can use the function to analyze user-generated content associated with their brand. By identifying false classifications or mismatched images, companies can refine their marketing strategies, ensuring that the visuals used in campaigns accurately reflect the brand identity.
- Social Media Sentiment Analysis: Businesses can leverage this function to assess the visual content shared on social media. By classifying images falsely attributed to a brand, organizations can gauge public perception and sentiment, allowing them to respond strategically to potential brand misrepresentation.
- Intellectual Property Protection: Companies can utilize the false image classification function to monitor for unauthorized use of brand images. By identifying images that do not belong to the brand but are associated with it, companies can take action against copyright infringement and unauthorized commercial use.
- Market Research and Competitive Analysis: Businesses can analyze images associated with competitors or similar brands using false image classifications. This information can provide insights into market positioning and design trends, assisting companies in adjusting their branding strategies to stay competitive.
- Improved Customer Support: Support teams can benefit from this function by quickly identifying and classifying images that customers submit. This allows for a faster resolution process by ensuring that support representatives are responding to relevant images that accurately reflect the brand's offerings.
- Training and Development Tool: The false image classification function can be integrated into employee training programs. By exposing staff to correctly and incorrectly classified images, companies can enhance their understanding of brand identity and design principles, ensuring cohesive representation across all interactions.