TestMu AI Enhances Real Device Testing with Multi-Language Support and Audio Features
TestMu AI Expands Real Device Testing With Multi-Language Playwright Support and Advanced Audio Testing for iOS

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TestMu AI has introduced significant updates to its Real Device Cloud, enabling multi-language Playwright automation across Java, Python, and C#. Additionally, it has launched advanced audio testing capabilities for iOS, allowing teams to simulate real-world audio interactions. These enhancements aim to improve the accuracy and automation of testing voice-enabled applications.
- 01TestMu AI now supports Playwright automation on real devices using Java, Python, and C#, enhancing flexibility for enterprise teams.
- 02The platform introduces Audio Injection and Live Audio Input capabilities for testing audio interactions on real iOS devices.
- 03These updates cater to the growing demand for testing multimodal applications that involve voice and audio functionalities.
- 04Mudit Singh, Co-Founder of TestMu AI, emphasized the need for infrastructure that replicates real-world conditions for accurate testing.
- 05The enhancements allow for automated testing of various use cases, including KYC voice verification and audio-driven user journeys.
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TestMu AI, previously known as LambdaTest, has announced major enhancements to its Real Device Cloud, aimed at improving the testing of modern applications. The platform now supports Playwright automation across multiple programming languages, including Java, Python, and C#, allowing enterprise teams to integrate testing seamlessly into their existing workflows. This multi-language support addresses the growing adoption of Playwright among engineering teams, enabling them to validate applications on real devices without being limited to JavaScript.
In addition, TestMu AI has introduced Audio Injection and Live Audio Input capabilities for real iOS devices. This feature enables teams to simulate and validate microphone-based interactions, making it possible to automate tests for various scenarios such as KYC voice verification and in-app audio recording. Mudit Singh, Co-Founder and Head of Growth at TestMu AI, highlighted the importance of replicating real-world conditions for testing interactive and voice-enabled applications.
These enhancements not only extend testing coverage but also enable teams to move beyond traditional UI validation, ensuring accurate validation of increasingly complex user experiences at scale.
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These enhancements enable teams to conduct more comprehensive testing of voice-enabled applications, improving the reliability of software products.
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