Identify if document has proper contrast
using AI
Below is a free classifier to identify if document has proper contrast. Just upload your image, and our AI will predict if the document has proper contrast - 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-document-has-proper-contrast", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-document-has-proper-contrast/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-document-has-proper-contrast/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the document has proper contrast.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Good Contrast and Poor Contrast.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the document has proper contrast).
Whether you're just curious or building if document has proper contrast detection into your application, we hope our classifier proves helpful.
Need to identify if document has proper contrast at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Document Scanning: This use case involves using the contrast identifier to assess scanned documents before finalizing the output. By ensuring that documents meet proper contrast standards, businesses can significantly reduce the likelihood of errors and enhance the readability of scanned materials.
- Automated Document Review: In environments where large volumes of documents are processed, the contrast identifier can automatically flag documents that do not meet contrast requirements. This allows for quicker reviews by staff, facilitating faster decisions and preventing delays in administrative processes.
- Archiving and Storage Optimization: Organizations can implement the contrast identifier in their document archiving systems to evaluate the quality of documents before they are archived. By discarding or re-scanning documents with poor contrast, companies can optimize storage space and ensure that only high-quality records are retained.
- Enhanced Optical Character Recognition (OCR) Accuracy: The contrast identifier can be integrated into OCR systems to filter out documents with insufficient contrast before text extraction. By ensuring that documents have optimal contrast, businesses can improve OCR accuracy, leading to better data quality and usability.
- Client Communication Enhancement: Businesses often send digital documents to clients for signatures or approvals. By using the contrast identifier, companies can ensure that documents sent to clients are clear and discernible, leading to improved communication and a more professional image.
- Compliance and Documentation Standards: Organizations that must adhere to compliance regulations can utilize the contrast identifier to evaluate documents against established standards. Ensuring proper contrast helps mitigate risks associated with non-compliance, as poorly contrasted documents may lead to misunderstandings or legal issues.
- Training and Support for Remote Teams: In remote work environments, teams may require guidance on document preparation. The contrast identifier can serve as an automated quality check, providing immediate feedback on document quality and ensuring all team members produce documents that meet company standards.