Identify highlighted text
using AI
Below is a free classifier to identify highlighted text. Just upload your image, and our AI will predict if the text is highlighted - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("highlighted-text-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/highlighted-text-identifier/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/highlighted-text-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the text is highlighted.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Highlighted and Non-Highlighted.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the text is highlighted).
Whether you're just curious or building highlighted text detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify highlighted text at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Document Review Automation: This function can be employed in the legal sector to automatically identify highlighted text in contracts and agreements. By streamlining the review process, legal professionals can focus on critical sections of documents, enhancing efficiency and reducing the risk of missing important information.
- Educational Assessment Tools: Educational platforms can use this feature to scan and evaluate student assignments for critical quotes or highlighted material. This can augment feedback mechanisms, ensuring that educators can provide targeted advice based on the most emphasized concepts by students.
- Content Curation for Marketing: Marketers can implement this function to analyze customer feedback and insights documents where certain points are highlighted. This can help extract key trends and preferences more effectively, guiding content creation and promotional strategies.
- User Interface Enhancement: Software applications that support text editing could leverage this function to improve user experience by making it easier to locate highlighted text within documents. This would save users time and make interactions more intuitive, particularly for large volumes of text.
- Research Paper Analysis: Academic researchers can utilize this functionality to process numerous research papers and extract highlighted findings or key arguments. This would significantly enhance literature review processes, allowing researchers to synthesize information quicker and more accurately.
- Compliance Monitoring: Financial institutions can employ this binary classification function to monitor highlighted text within regulatory documents. By ensuring that specific regulations or compliance-related highlights are accurately identified, organizations can reduce risks associated with non-compliance.
- News and Media Analysis: Media organizations can use this capability to scan articles for highlighted quotes or statements from sources. This can help journalists quickly identify key themes or trends in reporting, facilitating deeper analysis and more insightful storytelling.