Google Meet introduces real-time speech translation

Google has announced the rollout of a real-time speech translation feature in its video communication service, Google Meet. This new technology enables automatic translation of conversations during video calls, allowing people speaking different languages to understand each other without delays or third-party tools.

The system is powered by speech recognition and neural translation algorithms developed by Google AI. Currently, it supports major global languages, including English, Spanish, French, German, and Portuguese. An expansion to more languages is expected in the future.

The feature is available in both one-on-one and group meetings. Translations can appear as subtitles or be spoken aloud via synthesized voice. Users can choose their preferred translation display format in the settings.

According to Google representatives, the feature targets business, education, and international collaboration. It helps eliminate language barriers during negotiations, online courses, and presentations, saving time and improving communication efficiency. The tool is particularly useful for multinational companies working with remote teams and partners.

The launch has sparked discussion among professional translators and linguists. While experts acknowledge progress in machine translation, they emphasize that current technology cannot fully replace human translators in legal, medical, or literary contexts, where nuance and accuracy are critical.

Google clarified that the feature is meant to complement — not replace — professionals. Its goal is to expand communication accessibility and enhance productivity in a global digital economy.

The company has not yet confirmed whether the feature will be free or limited to paid Google Workspace plans. However, it is expected to become a standard part of corporate user tools in the coming months.

The development reflects a broader trend in tech: eliminating language barriers and building universal communication platforms. Google and other tech firms are heavily investing in AI and machine learning for linguistics, driving innovation at the intersection of language and global connectivity.

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