Identify if a document is contains annotations
using AI
Below is a free classifier to identify if a document is contains annotations. Just upload your image, and our AI will predict if it contains annotations - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-a-document-is-contains-annotations", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-a-document-is-contains-annotations/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-a-document-is-contains-annotations/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if it contains annotations.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Contains Annotations and Does Not Contain Annotations.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it contains annotations).
Whether you're just curious or building if a document is contains annotations detection into your application, we hope our classifier proves helpful.
Need to identify if a document is contains annotations at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Document Compliance Verification: This use case involves automatically checking compliance documents for annotations that indicate necessary approvals and revisions. By integrating the classification function, organizations can ensure that all compliance documents have the required markings before submission, reducing the risk of non-compliance.
- Contract Management Optimization: In contract management systems, this function can help identify annotated contracts that require review or negotiation. By flagging these documents, legal teams can prioritize their workload and ensure that negotiations are addressed promptly, thus speeding up the contracting process.
- Annotated Research Document Filtering: Researchers can use this classification tool to filter through vast amounts of academic papers and research documents for those containing annotations. This allows them to quickly find insights and notes from previous researchers, enhancing the efficiency of literature reviews.
- Enhanced Customer Support Ticketing: Customer support platforms can leverage this function to detect annotated support tickets, denoting additional agent notes or client feedback. This leads to better prioritization and resolution of ticket issues, improving overall customer satisfaction.
- Transcription and Annotation Analysis: In transcription services, the function can identify documents where transcription notes or highlights have been added. This can help in quality control processes by flagging transcripts for revisions or further analysis, ensuring accuracy and completeness.
- Improved E-Learning Content Curation: E-learning platforms can utilize this identifier to isolate educational documents with student annotations or instructor comments. This allows educators to assess learner engagement with material and adjust content delivery based on real-time feedback.
- Digital Asset Management: In content management systems, the function can assist in identifying media and documentation that contains user-generated annotations. By classifying these assets, organizations can better manage their digital libraries, making it easier to locate and utilize valuable feedback from diverse users.