Identify if a document contains signatures
using AI
Below is a free classifier to identify if a document contains signatures. Just input your text, and our AI will predict whether a document contains signatures or not - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-a-document-contains-signatures", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-a-document-contains-signatures/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-a-document-contains-signatures/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict whether a document contains signatures or not.
This pretrained text model uses a Nyckel-created dataset and has 20 labels, including Authorized Access, Classified, Client Confidential, Company Use, Confidential, Employee Only, For Official Use Only, Internal, Internal Use Only and Limited Access.
We'll also show a confidence score (the higher the number, the more confident the AI model is around whether a document contains signatures or not).
Whether you're just curious or building if a document contains signatures detection into your application, we hope our classifier proves helpful.
Need to identify if a document contains signatures at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Document Verification: This use case involves verifying the authenticity of important documents such as contracts or legal agreements. By identifying whether a document contains signatures, businesses can streamline the verification process and reduce fraud.
- Automated Compliance Checks: Organizations can utilize this function to automate compliance checks for regulatory documents that require signatures. This ensures that essential compliance steps are not overlooked and aids in maintaining adherence to legal standards.
- Workflow Optimization: By identifying documents containing signatures within a workflow system, companies can prioritize the review or signing of these documents. This will enhance the efficiency of workflow processes and minimize delays in project timelines.
- Digital Signature Integration: Businesses can integrate this function into their digital signature platforms to determine whether a document is ready for signing. This ensures that only documents requiring a signature are sent for digital signing, saving time and resources.
- Risk Management: In the context of risk management, this function can help identify documents that may pose a legal risk if lacking a signature. By flagging these documents, companies can take proactive measures to ensure all necessary approvals are in place.
- Record-Keeping Enhancements: Organizations can improve their record-keeping systems by using this function to sort or categorize documents based on whether they contain signatures. This facilitates better organization and retrieval of important documents when needed.
- Contract Lifecycle Management: This identifier can be used in contract lifecycle management systems to track the status of contracts through different stages, particularly focusing on those that require signatures. This allows for better monitoring of contract progression and timely interventions when necessary.