AI-powered API

Phone Numbers Detector

Parses the provided text for any phone numbers and returns the original detected version in E.164 format.

This API is useful for processing and validating large datasets to identify phone numbers or detecting phone numbers in inappropriate places.

This API is ideal for developers working on data validation tools, form processing applications, or compliance monitoring systems. It automates the extraction and standardization of phone numbers, ensuring accuracy and consistency. Use cases include cleaning and validating customer databases, monitoring for unauthorized phone number inclusion, and enhancing contact information management.

AI jobs involve two key steps:

Submitting the AI job: Initiating the process by sending the job request.
Monitoring and receiving results: Continuously checking the job status and obtaining the final output upon successful completion.

Your data is your data. Learn more about how we handle data with care and comply with privacy standards in our Data Handling and Compliance policy.

Step 1. Submit the AI Job request

Endpoint: POST - /api/v1/content/detect_phones

Attribute	Type	Mandatory	Description
content	String	Yes	Provide the content from where the mobile number needs to be detected.

REQUEST EXAMPLE:

{
  "content": "Where to find us? Call with a sales tech advisor: Call: 1800-394-7486 or our Singapore office +65 8888 8888"
}

RESPONSE EXAMPLE:

{
  "status_url": "https://sharpapi.com/api/v1/content/translate/job/status/5de4887a-0dfd-49b6-8edb-9280e468c210",
  "job_id": "5de4887a-0dfd-49b6-8edb-9280e468c210"
}

Step 2. Monitor & Fetch AI Job Results

Endpoint: GET - /api/v1/content/detect_phones/job/status/:uuid

An endpoint is used to check on the progress of the requested API job.

RESULT EXAMPLE:

{
  "data": {
    "type": "api_job_result",
    "id": "d43b36dc-3d1d-4ba7-9a17-36a438d91f09",
    "attributes": {
      "status": "success",
      "type": "content_detect_phones",
      "result": [
        {
          "parsed_number": "+18003947486",
          "detected_number": "1800-394-7486"
        },
        {
          "parsed_number": "+6588888888",
          "detected_number": "+65 8888 8888"
        }
      ]
    }
  }
}

Accelerate integration with our official SDK client packages:

NodeJS SDK

Python SDK

PHP SDK

Laravel SDK

.NET SDK

Flutter SDK

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