Identify if social security number is in a document
using AI
Below is a free classifier to identify if social security number is in a document. Just input your text, and our AI will predict if a social security number is present in the document - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-social-security-number-is-in-a-document", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-social-security-number-is-in-a-document/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_text_here"}
)
})
.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_text_here"}' \
https://www.nyckel.com/v1/functions/if-social-security-number-is-in-a-document/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if a social security number is present in the document.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Contains Social Security Number and Does Not Contain Social Security Number.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if a social security number is present in the document).
Whether you're just curious or building if social security number is in a document detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if social security number is in a document at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Fraud Detection: Financial institutions can utilize the text classification function to scan documents for social security numbers. By identifying these sensitive numbers, banks can flag potentially fraudulent applications or transactions that involve manipulated or fake identities.
- Compliance Monitoring: Regulatory agencies can implement this function to ensure that organizations comply with data protection regulations like GDPR and HIPAA. By identifying documents containing social security numbers, agencies can monitor and audit practices to prevent unauthorized data exposure.
- Data Breach Prevention: Organizations can use the function for proactive data security measures. By automatically scanning outgoing communications and stored documents, companies can detect and remove any social security numbers before they can be unintentionally shared or leaked.
- Identity Theft Risk Assessment: Businesses can employ this text classification tool to assess risks associated with identity theft. By identifying documents with social security numbers, organizations can implement protective measures and guide clients on safeguarding their personal information.
- Customer Service Enhancement: Customer service departments can leverage the function to streamline communication processes. By ensuring that representatives do not inadvertently mishandle sensitive information like social security numbers, they can maintain trust and enhance customer relationships.
- Document Management System Integration: Firms can integrate this text classification function into their document management systems. By organizing and categorizing documents containing social security numbers, businesses can enhance document retrieval and ensure compliance with data storage guidelines.
- Automated Risk Classification: Insurance companies can use this function to automate the risk classification process for client files. By identifying documents with social security numbers, firms can assess client risk profiles more efficiently, leading to better underwriting decisions.