Users have the flexibility to customize their lighting settings, including position, brightness, and color temperature, or they can select from pre-set studio options.

The rollout of these features is underway, with custom backgrounds, studio lighting, and studio sound already accessible, while the 'Translate for me' and background removal functionalities are also operational.

One of the standout features, Studio Sound, enhances voice clarity, ensuring that users with lower-quality headsets can still be understood clearly during calls.

Google Workspace is enhancing its video conferencing capabilities in Google Meet by introducing new AI features, including a free AI filter that provides a professional studio look.

These AI enhancements are available to users on Workspace Business and Enterprise plans without any additional costs for the Gemini AI model.

The improvements encompass image and background enhancements for Google Meet, alongside built-in real-time translation for Google Chat, leveraging the capabilities of the Gemini AI model.

System administrators have the ability to control user access to these new features, allowing users to enable them based on their preferences.

Google's strategy involves integrating Gemini AI features into its core services rather than offering them as separate add-ons, having phased out several Gemini-related add-ons earlier this year.

The 'Studio look' feature significantly improves video feed quality by reducing noise and enhancing sharpness, while 'Studio lighting' simulates optimal lighting conditions for video calls.

Despite these advancements, analysts note that Google is still striving to catch up to Microsoft, which continues to enhance its Microsoft 365 Copilot tools.

In a related development, Microsoft has announced the discontinuation of Skype, consolidating its functionalities into Teams, intensifying competition in the videoconferencing space.

Google Chat now features an automatic translation tool that supports around 120 languages, translating incoming messages into users' preferred languages while retaining the original text for reference.