Bengali is spoken by over 230 million people globally, making it one of the most widely spoken languages in the world. With Gladia’s STT, you can engage a massive audience and open doors to new opportunities.
Reach new markets, improve service
By supporting Bengali, you can offer more personalized services and engage with customers in a way that feels native to them. Tap into the growing demand in South Asia and Bengali-speaking communities around the world.
Filling the gap for Bengali
Many speech-to-text providers struggle with accurate Bengali transcription. Gladia’s solution is tailored to this gap, providing robust, accurate, and real-time transcription for Bengali speakers — empowering you to enhance communication.
Sample Bengali use cases
Call centers & voice agents
Bengali-speaking customers are no longer left behind. With Gladia’s real-time STT, BPOs and CCaaS platforms can support Bengali conversations in real time, ensuring smooth, efficient customer service.
Sales enablement
Bengali-speaking teams can now gain deeper insights from meetings and calls with Gladia’s async transcription. Enable your sales teams to quickly analyze conversations, improve coaching, and maximize performance.
Virtual meeting platforms
In global meetings, communication should never be a barrier. Gladia’s real-time transcription of Bengali conversations ensures everyone stays on the same page, even when multiple languages are spoken.
Content & media
Whether you’re broadcasting live content or producing podcasts, Gladia powers accurate Bengali transcriptions for everything from on-the-fly subtitles to post-production content creation.
What makes Gladia stand out
Industry-leading accuracy
Gladia provides accurate results, even in noisy environments and when speakers overlap, ensuring that Bengali conversations are transcribed with precision, no matter the setting.
Ultra-low latency and async transcription
Whether you need real-time conversations or large-scale batch processing, Gladia supports both. Our technology delivers low-latency transcription without compromising on speed or quality.
Customizable models
With easy API integration, Gladia allows for flexible tuning to fit the specific needs of your industry, language, and unique use cases, including optimal support for Bengali.
One breakthrough model Two powerful versions
Solaria-1
Solaria-1 is the most accurate speech-to-text engine designed for mission-critical real-time applications. Perfect for contact centers, AI-driven customer service, or industry-specific automation, ensuring native-level speech recognition, it is optimized for human-level accuracy.
Solaria-1 Mini
For applications where speed is everything, this is a lighter, ultra-fast version. Tailored for low-latency environments like AI-powered voice agents and automated call handling, it ensures every word is recognized in a split second—keeping conversations natural and delay-free.
Empower your business to create more meaningful, accessible, and efficient experiences for Bengali-speaking users.
What are the benefits of using speech-to-text for Bengali?
Speech-to-text technology opens the door for better engagement with Bengali-speaking audiences, enabling businesses to offer more accurate and personalized customer support, content, and interactions.
Can Gladia’s Bengali models handle regional variations and mixed language speech?
Yes! Gladia’s models are designed to handle regional dialects and code-switching (mixed language speech), ensuring you get the most accurate transcriptions for all types of Bengali conversations.
What industries benefit most from supporting Bengali?
BPOs, customer support platforms, media and content creators, and sales enablement teams all benefit from supporting Bengali. By adding this language, you can expand your reach to millions of new potential customers and users.
How does Gladia’s noise handling and speaker recognition improve Bengali conversations?
Gladia’s advanced noise handling and speaker recognition technology ensure that your Bengali conversations are clear and easy to understand, even in environments with background noise or multiple speakers.
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