Identify if phone number is in text
using AI
Below is a free classifier to identify if phone number is in text. Just input your text, and our AI will predict if a phone number is present - in just seconds.
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Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-phone-number-is-in-text", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-phone-number-is-in-text/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-phone-number-is-in-text/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if a phone number is present.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Contains Phone Number and Does Not Contain Phone Number.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if a phone number is present).
Whether you're just curious or building if phone number is in text detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if phone number is in text at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Support Automation: Businesses can streamline their customer support processes by automatically identifying phone numbers in incoming messages. This allows for quick routing of queries to relevant support teams or triggers automated response systems for follow-ups.
- Lead Capture Optimization: Marketing teams can enhance lead generation efforts by extracting phone numbers from potential customer communications. Identifying phone numbers helps in qualifying leads faster and enables personalized follow-ups, boosting conversion rates.
- Fraud Detection: Financial institutions can monitor transactions and communications to identify suspicious text messages containing phone numbers. By flagging these texts, companies can take proactive measures to prevent fraud and protect customer accounts.
- User Profile Enrichment: Organizations can enrich user profiles by extracting phone numbers from user-generated content. This data can enhance personalized marketing efforts and improve customer relationship management strategies.
- Compliance Monitoring: Companies in regulated industries, such as healthcare or finance, can monitor communications for the inclusion of phone numbers to ensure compliance with privacy regulations. This helps prevent unauthorized sharing of sensitive customer information.
- Survey and Feedback Collection: Businesses can utilize the text classification function during feedback collection to identify responses containing phone numbers. This allows them to reach out to customers directly for follow-up surveys or feedback, enhancing customer engagement.
- Incident Reporting System: In organizations that rely on incident reporting, this function can identify phone numbers within incident reports submitted via text. Recognizing these numbers enables quicker response times by allowing teams to contact the reporter for more information when necessary.