Written By Divya
Edited By: Divya | Published By: Divya | Published: Mar 18, 2026, 07:10 PM (IST)
WhatsApp Online Contacts Feature
If you’ve ever taken a WhatsApp call in traffic or a crowded place, you already know how quickly background noise can take over the conversation. That might change soon. WhatsApp is now testing a built-in noise cancellation feature for voice and video calls on Android. Also Read: Facebook to WhatsApp: Social media scams cost users $2.1 billion in 2025
The feature has been spotted in the latest beta update, and while it’s not live for everyone yet, it gives a clear idea of where WhatsApp is heading with its calling experience. Also Read: Using an old Android phone? WhatsApp may stop working soon
The upcoming feature focuses on one simple thing, making your voice clearer during calls. Noise cancellation works by identifying unwanted sounds like:
Once detected, the system reduces these sounds in real time, so your voice stays more prominent. This means even if you’re not in a quiet room, your calls should sound more focused on WhatsApp calls and video calls.
According to the beta version, noise cancellation will be enabled automatically when a call starts. You may also see a small on-screen prompt confirming that the feature is active. One important detail here, the processing happens directly on your device. That means audio is cleaned up before it gets encrypted and sent, so WhatsApp’s end-to-end encryption remains unchanged.
This is a key difference from current Android behaviour, where calls don’t have built-in noise filtering and often carry all ambient sounds. Even though the feature is expected to be turned on by default, WhatsApp is not locking users into it. You’ll be able to turn noise cancellation off during a call.
This matters in situations where background sound is intentional, like:
So, the idea is to give clarity by default, but flexibility when needed.
Right now, the feature is still under development and is being tested in the Android beta version. WhatsApp is working on improving how accurately it detects and filters noise. Once testing is complete, it’s likely to roll out first to more beta users before reaching stable versions.