Check WhatsApp Number Tool: Are You Messaging Real WhatsApp Users?

In global WhatsApp marketing, how confident are you about your phone number list?

One of the most common issues marketers face is wasting time and effort messaging numbers that aren’t even registered on WhatsApp. You may have gathered a big list of leads, but how many of them are truly reachable?

That’s where the Check WhatsApp Number Tool comes in—helping you clean your list before your campaign even begins.

What can Check WhatsApp Number Tool help us with?

First, it allows you to generate phone numbers in bulk. You can choose to create numbers based on a country code and prefix, or use the Global Generator, which lets you select country, city, and carrier code. You can also import an existing TXT file of numbers—duplicates will be filtered out automatically.

Then, by simply scanning a QR code to log into your WhatsApp account, the tool will begin checking whether each number is actually registered on WhatsApp. You can even log in with multiple accounts to increase the scanning speed—perfect for high-volume operations.

What else does the tool provide?

During the scanning process, it also fetches profile photos and uses AI to try to identify age, gender, or at least what kind of image is being used. It will extract the status message and detect the language used, helping you understand your leads better.

You can filter and export the results based on whether a number is WhatsApp-registered, has a profile photo, their estimated gender or age, and more. The export options include TXT, VCF, or Excel formats. If needed, you can export profile pictures too—for use in detailed audience segmentation or CRM systems.

Crownsoft Check WhatsApp Number Tool enables users to generate phone numbers for various regions using multiple methods. By verifying account registration through login-based analysis, it determines WhatsApp registration status and displays relevant information. The software utilizes Crownsoft’s proprietary algorithms to provide refined filtering, including analyzing avatars, age (auto-detected), gender (auto-detected), signatures, and signature languages (auto-detected). Furthermore, it supports exporting filtered data in .txt, .xls, .xlsx, or .vcf formats, ensuring seamless integration into marketing workflows.