Identify highlighter intensity
using AI
Below is a free classifier to identify highlighter intensity. Just upload your image, and our AI will predict the intensity of highlighter marks in the text. - 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("highlighter-intensity", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/highlighter-intensity/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/highlighter-intensity/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the intensity of highlighter marks in the text..
This pretrained image model uses a Nyckel-created dataset and has 5 labels, including Intense, Moderate, Subtle, Very Intense and Very Subtle.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the intensity of highlighter marks in the text.).
Whether you're just curious or building highlighter intensity detection into your application, we hope our classifier proves helpful.
Need to identify highlighter intensity at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Document Verification: This function can be utilized in auditing processes to verify the authenticity of documents by assessing the highlight intensity. By identifying whether specific sections of a document have been altered or emphasized, businesses can maintain integrity in legal contracts and financial statements.
- Educational Assessment: Educational institutions can leverage this function to analyze student submissions by identifying the intensity of highlighted text in assignments or exams. This can help educators gauge which concepts students consider most important, allowing for targeted feedback and curriculum adjustments.
- Marketing Collateral Review: Marketing teams can use the highlighter intensity identifier to assess promotional materials' effectiveness. By analyzing which sections are highlighted with varying intensities, they can determine which messages resonate more with target audiences and refine their strategies accordingly.
- Compliance Monitoring: Regulatory bodies can employ this function to ensure compliance in financial and technical documents by checking for any highlighted alterations that may indicate non-compliance or manipulation. This can streamline audits and reduce the risk of regulatory breaches.
- Quality Control in Publishing: Publishing houses can implement this function to assess the consistency and quality of highlighted content in manuscripts before final publication. This would allow editors to identify over-emphasized or under-emphasized sections, ensuring a balanced presentation of information.
- User Behavior Analysis: Digital product companies can analyze user interactions by measuring the intensity of highlights made by users on digital content. This insight can guide product improvements based on user engagement patterns, identifying areas that require clearer information or additional emphasis.
- Research Data Validation: Researchers can utilize the highlighter intensity identifier to validate data integrity in textual analyses. By ensuring that highlights in research documents match expected intensities, they can confirm accurate interpretations and maintain trustworthiness in published findings.