Identify if a text contains a number
using AI
Below is a free classifier to identify if a text contains a number. Just input your text, and our AI will predict if it contains a number - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-a-text-contains-a-number", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-a-text-contains-a-number/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-text-contains-a-number/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if it contains a number.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Contains Number and Does Not Contain Number.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it contains a number).
Whether you're just curious or building if a text contains a number detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if a text contains a number at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Financial Document Analysis: Organizations can utilize the text classification function to identify financial documents that contain numerical data, such as invoices, contracts, or budgets. This can streamline the review process and ensure that critical financial information is not overlooked.
- Customer Feedback Processing: Companies can analyze customer feedback, reviews, or surveys for references to quantities or ratings. This allows them to quickly gather insights on product preferences or operational performance based on numerical input.
- Inventory Management: Retailers can implement this function to scan product descriptions and stock reports for numbers, helping them track inventory levels more effectively. This ensures timely restocking and reduces the chances of stockouts or overstock situations.
- Market Research Analysis: Market researchers can leverage this function to sift through large volumes of text data, such as reports or articles, to extract important numerical trends or data points. This facilitates quicker identification of market shifts and competitor performance metrics.
- Invoice Processing Automation: Accounting departments can automate the identification of invoices by extracting texts that contain numerical values. This reduces manual entry errors and speeds up the accounts payable process, leading to improved operational efficiency.
- Academic Research Summarization: Researchers can employ this classification system to extract and highlight numerical data from academic papers, such as experimental results or statistical analyses. This helps in efficiently summarizing findings and identifying trends in research.
- Health Records Management: Healthcare providers can use this function to classify patient records or clinical notes that include numbers, like lab results or dosage instructions. This aids in the quick retrieval and analysis of relevant health data for improved patient care.