Identify print quality
using AI
Below is a free classifier to identify print quality. Just upload your image, and our AI will predict the print quality of various documents - 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("print-quality", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/print-quality/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/print-quality/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the print quality of various documents.
This pretrained image model uses a Nyckel-created dataset and has 19 labels, including Acceptable, Average, Basic, Deficient, Excellent, Fair, High, Inferior, Low and Medium.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the print quality of various documents).
Whether you're just curious or building print quality detection into your application, we hope our classifier proves helpful.
Need to identify print quality at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Manufacturing: Implementing a false image classification function can aid manufacturers in the quality control process by automatically identifying print defects in labels or packaging. This can significantly reduce manual inspections, ensuring only high-quality prints are shipped to customers.
- E-commerce Product Listing Verification: E-commerce platforms can use this function to verify the quality of images uploaded by sellers, ensuring that only high-quality images are displayed to potential buyers. This promotes customer trust and enhances the overall shopping experience.
- Advertising Campaign Assessment: Marketing agencies can leverage this function to assess the print quality of advertising materials before distribution. By identifying and addressing issues in advance, companies can ensure their marketing messages are conveyed clearly and attractively.
- Document Management Systems: Organizations can integrate this function within document management systems to filter out low-quality, poorly printed documents. This ensures that only legible and professional documents are stored and shared, improving overall communication efficiency.
- Automated Photo Printing Services: Photo printing services can utilize this function to assess and reject low-quality images during the upload process. This not only enhances customer satisfaction by ensuring only good quality prints are produced but also reduces waste and operational costs.
- Print Media Publishing: Publishing houses can implement the false image classification function to examine print quality before final publication runs. This minimizes the risk of producing subpar printed materials, ensuring that books, magazines, and brochures maintain high standards of quality.
- Artwork Authentication: Art galleries and auction houses can use this technology to verify the quality of print reproductions against original artworks. This helps in accurately appraising artworks and ensures that only authentic pieces are presented to buyers, maintaining the integrity of the art market.