Bulk-check WhatsApp Numbers
Filter out invalid numbers and target highly active WA users
Upload up to 1 million numbers per batch. Triple checks (carrier validation + WhatsApp registration + user activity profile) finish a full screening in about 3 minutes and remove invalid data automatically.
Capability Track
phone-list.txt
+44 7……2484
+62 8……9017
+55 1……6723
√ One number per line in TXT
Valid filtering accuracy ≥98%
Average speed: 3 min / 1M records
Export TXT/CSV/Excel and import directly into the WhatsApp Business API and third-party bulk messaging tools
WhatsApp Check
WhatsApp Activity Check
WhatsApp Age & Gender...
Capabilities
What can GeekNums check on WhatsApp?
Full coverage from "does it exist" to "audience profile"
Valid Filter
Verify the number is real (invalid / suspended detection) + whether it's registered on WhatsApp.
Number status
RegisteredNot registered
Activity Filter
Check last seen, online status, avatar update frequency and About changes.
Activity
Profile Filter
Multi-dimensional profile mining: avatar, age, gender, hair color, skin tone and more.
AI profile sample
25-35Interests4 Steps
Bulk-check WhatsApp in just 4 steps
Use case: find out which numbers are on WhatsApp, how active they are, and their age and gender range.
Generate Numbers
Use the number generator to create numbers for your target region (or upload your own numbers directly).
Upload Numbers
TXT/CSV/Excel supported, up to 1 million records per upload.
Two-layer Validity Check
1. Check the number really exists.
2. Check WA registration (activity, age, gender).
Export Results
Download the completed file and export every filtered result in bulk.
Q&A
FAQ
Yes. Even when users hide it for privacy, GeekNums evaluates multiple indirect signals: avatar update frequency, About changes, nickname history and public activity traces of the number. Without an exact "last seen", profile activity and behavior signals still reliably tell whether a user is "recently active" or "long abandoned".
Indirectly, yes. WhatsApp monitors Business accounts' delivery rate, reply rate and report rate. If you keep messaging large numbers of inactive (zombie) users, delivery keeps dropping and recipients who don't know you report "spam". Past a threshold, risk controls kick in, from sending limits to permanent bans. GeekNums's activity filter removes these high-risk zombie numbers before you send, protecting your account standing.
AI profiling based on WhatsApp users' publicly visible avatar, nickname and About text. Avatar recognition is about 90% accurate, with nickname and About text used for correction. Users with non-person photos (landscapes, cartoons) or minimal profiles are marked "profile uncertain" rather than forced into a category. Overall profile accuracy is ≥85%, a solid reference for audience segmentation.
We use end-to-end encrypted transfer and isolated storage. Uploaded data is stored temporarily on encrypted servers only during verification and permanently deleted within 7 days after filtering. We never use your data for any other purpose, nor sell or share it with third parties. ISO 27001 certified, and we can sign an NDA.
