Punjabi is spoken by over 120 million people worldwide, making it one of the most widely spoken languages. With Gladia’s STT, you can connect with a large and diverse audience, unlocking significant business potential.
Tap into new markets, improve service
By supporting Punjabi, you can build stronger relationships with your Punjabi-speaking customers. This opens up opportunities to serve them more effectively and connect in a language they are most comfortable with.
Filling the gap for Punjabi
Many speech-to-text providers fall short when it comes to Punjabi. Gladia addresses this gap by offering reliable, accurate, and real-time transcription that ensures your conversations are understood — no matter the context.
Sample Punjabi use cases
Call Centers & Voice Agents
Punjabi-speaking customers deserve the same quality of service as anyone else. With Gladia’s real-time STT, call centers and voice agents can seamlessly support Punjabi conversations, improving customer experience and satisfaction.
Sales Enablement
Unlock the full potential of your sales teams with Gladia’s async transcription. By transcribing Punjabi conversations, you can gain valuable insights from sales meetings, optimize coaching, and improve overall performance.
Virtual Meeting Platforms
Real-time Punjabi transcription makes virtual meetings accessible for all participants. Whether in multilingual settings or dedicated Punjabi meetings, Gladia ensures smooth communication and seamless collaboration.
Content & Media
From live news broadcasts to podcast production, Gladia’s Punjabi transcription technology ensures you can create accurate, on-demand captions and transcriptions, expanding your content's accessibility.
What makes Gladia stand out
Industry-leading accuracy
Gladia delivers accurate transcriptions even in noisy environments and with overlapping speakers, ensuring Punjabi conversations are understood and transcribed with precision.
Ultra-low latency and async transcription
Whether you're handling real-time conversations or processing large volumes of audio, Gladia provides ultra-low latency transcription and reliable async capabilities, making it the perfect solution for any use case.
Customizable models
With easy API integration, Gladia lets you fine-tune models to match your industry’s needs, offering tailored support for Punjabi across a variety of applications and use cases.
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.
Ready to deliver better conversations and experiences for your Punjabi-speaking customers?
What are the benefits of using speech-to-text for Punjabi?
Speech-to-text technology helps you better engage with Punjabi-speaking customers, ensuring faster, more accurate communication, enhancing customer support, and expanding your reach.
Can Gladia’s Punjabi models handle regional variations and mixed language speech?
Absolutely! Gladia’s models are optimized to handle regional dialects and code-switching, ensuring accurate transcription even in multilingual or dialect-heavy Punjabi conversations.
What industries benefit most from supporting Punjabi?
Industries such as BPOs, media and content creators, customer support centers, and sales teams can all benefit from offering Punjabi support, enabling them to tap into a vast and growing market.
How does Gladia’s noise handling and speaker recognition improve Punjabi conversations?
Gladia’s advanced noise handling and speaker recognition technology ensures that Punjabi conversations are clear and accurately transcribed, even in noisy environments or with multiple speakers.
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