The End of The Typing Era: Deepgram’s Voice AI-Powered Future
- Priscilla Nakane
- Jul 22
- 2 min read

San Francisco based AI co, Deepgram is redefining how developers interact with code by introducing voice-first tools that eliminate the need for traditional typing. Their latest innovation, Saga, is a voice-native operating system that enables developers to control their entire development environment using natural language commands. Essentially, tools like Saga are flipping the traditional keyboard and mouse protocol with a more natural and intuitive interface: the human voice.
This shift towards voice-driven development is exemplified by Vibe Coder, another Deepgram tool that allows developers to build websites and applications through voice commands, primarily. Vibe Coder interprets spoken instructions to generate code, eliminating the need for manual typing and enabling a more intuitive and efficient development process .
The Power of Voice-Driven Development
The implications of voice coding are profound. Developers can now articulate their thoughts and ideas directly into their development environment, streamlining the process from concept to execution. This approach not only enhances productivity but also fosters a more inclusive and accessible development process, where the barrier of traditional input methods is removed. Imagine no longer needing to be confined to a keyboard to do your job, or now being able to compete for a programmer/developer role in the event there is a mobility restriction that once kept you out of the talent pool.
Real-World Applications and Benefits
Early adopters of voice coding have reported significant improvements in efficiency and creativity. Tasks that once required meticulous typing and navigation can now be accomplished through simple voice commands, allowing developers to focus more on innovation and problem-solving. Moreover, the integration of voice with multimodal interfaces enables a more dynamic and responsive development experience.
Over the years, Deepgram has introduced several innovative products that have significantly advanced the field of voice AI:
Deepgram AutoML: Introduced in 2021, this tool streamlines artificial intelligence model development, allowing for rapid customization and deployment of speech recognition models tailored to specific business needs.
Aura-2 Text-to-Speech API: Launched in May 2025, Aura-2 is an enterprise-grade text-to-speech API designed for real-time applications, offering natural, professional speech synthesis with low latency and domain-specific accuracy.
Voice Agent API: This API enables the creation of real-time AI agents capable of verbal communication and performing tasks with minimal human oversight, facilitating more natural and efficient interactions in various applications.
Speech-to-Speech Model: In February 2025, Deepgram announced a significant advancement in speech-to-speech technology, enabling fluid, human-like voice interactions without the need for text conversion, preserving emotional and contextual nuances throughout the conversation.
These innovations underscore Deepgram's commitment to pushing the boundaries of voice AI, providing developers and enterprises with powerful tools to create more intuitive and efficient voice-driven applications. With a robust platform trusted by over 200,000 developers and a growing portfolio of advanced voice AI solutions, Deepgram continues to lead the way in transforming how we interact with technology through voice.

Deepgram was founded in 2015 by Scott Stephenson, Adam Sypniewski, and Noah Shutty. The company specializes in advanced speech recognition technologies, offering developers access to high-accuracy, real-time transcription and audio intelligence through APIs. Deepgram's platform supports over 36 languages and provides features such as sentiment analysis, summarization, and topic detection. It's been reported that in November 2022, Deepgram completed a $72 million Series B funding round, led by Madrona Venture Group and Alkeon Capital Management, bringing its total funding to approximately $86 million.



