Mumla — Mumble VoIP

Mumla — Mumble VoIP
Mumla — Mumble VoIP
Developer: Lublin
Category: Communication
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314K installs
949 ratings
13.6K monthly active users
$<10K monthly revenue est.
IAP 100% · Ad 0%
Install Trends
Weekly +1.5K
Steady
Monthly +6.2K
Steady

Mumla — Mumble VoIP Summary

Mumla — Mumble VoIP is a with in-app purchases Android app in Communication by Lublin. Released in Jun 2020 (6 years ago). It has about 314K+ installs and 949 ratings with a 4.41★ (good) average. Based on AppGoblin estimates, it reaches roughly 13.6K monthly active users and generates around $<10K monthly revenue (100% IAP / 0% ads). Store metadata: updated Mar 12, 2026, version 110.

Recent activity: 1.5K installs this week (6.2K over 4 weeks) showing steady growth , and 2.00 new ratings this week View trends →

Data tracking: SDKs and third-party integrations were last analyzed on Jun 16, 2026. The app's network data flows (API traffic to/from the app and its SDKs) were last crawled on Dec 31, 2025.

Store info: Last updated on Google Play on Mar 12, 2026 (version 110).


4.41★

Ratings: 949

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Screenshots

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App Description

Voice chat on Mumble servers

Mumla is a client for the voice chat system Mumble. Connect to one of the many public Mumble-servers run by the community, or host one yourself (see https://www.mumble.info for more info). Mumla is an updated and maintained version (a fork) of the app Plumble.

To give a little support towards the maintenance and development of Mumla, please find and purchase the donation version of Mumla.

Some of the features:

* Certificate generation, import and export
* Browse public servers
* Voice activated transmission (the default), or different Push-to-talk buttons
* Bluetooth headset support
* Self-registration on server
* Access tokens
* Opus, CELT, and Speex codec support
* Automatic reconnection
* Tor support through the Orbot app
* Text-to-speech for messages (turned on by default)
* Light and dark theme

Voice activated transmission currently works best when using a headset. The echo cancellation and noise reduction need better implementations. You may also try tweaking the Detection threshold in the settings.

Mumla is free and open source software. Find out more at: https://mumla-app.gitlab.io/