Speech-to-text
Convert speech-to-text with unmatched accuracy, ultra-low latency, and enterprise scalability. Deepgram’s speech-to-text API powers everything from transcription and analytics to real-time, human-like voice agents.
Trusted by the world’s top Enterprises and Startups
Model Overview
Deepgram models power everything from real-time conversations to domain-specific transcription, with options for speed, accuracy, and full customization.
Flux STT
Conversational speech recognition for real-time voice agents with built-in turn detection, natural interruption handling, and ultra-low latency in 10 languages.
Nova-3
High-performance speech-to-text for production transcription with best-in-class accuracy, noise robustness, and multilingual support in 50+ languages.
Industry-tuned
Specialized speech-to-text models optimized for industry-specific vocabulary and structure for domains like healthcare, legal, and finance.
Custom
Custom speech-to-text models trained on proprietary or novel datasets for maximum accuracy in edge-case scenarios.
Built for the real world
Deepgram models maintain high transcription accuracy even in noisy, accented, or overlapping speech, making them ideal for real conversations.
Ultra-low latency for real-time apps
Deepgram delivers transcripts in under 300 milliseconds, enabling voice agents and conversational AI to respond instantly and naturally.
Go global with one speech-to-text API
Use a single speech-to-text API to support 50+ languages as your product scales worldwide.
Discover speech-to-text capabilities
Deepgram’s speech-to-text features give developers everything they need to produce accurate, readable, and secure transcripts out of the box.
Keyterm prompting
Improve recognition of critical words or phrases with up to 90% higher keyword recall rate (KRR).
Filler words
Transcribe interruptions in speech such as “uh” and “um” to capture a more natural, human-like transcript.
Smart formatting
Enhance readability with automatic punctuation, capitalization, and paragraphing.
Power real-world solutions with speech-to-text
Deepgram’s speech-to-text API enables accurate and scalable transcription across industries, including customer support, healthcare, media, and conversational AI.
Accurate speech-to-text for call transcription, real-time analytics, and improved customer support. Flexible deployment and custom models scale across industries.
Accurate speech-to-text for call transcription, real-time analytics, and improved customer support. Flexible deployment and custom models scale across industries.
Healthcare-ready speech-to-text that captures medical terms and specialized keywords at scale. Ensure compliance with HIPAA and industry standards while reducing documentation time. Real-time transcription supports faster clinical workflows and improves patient care outcomes.
Up to 40x faster transcription creation
of pre-recorded audio than alternatives.
Real-time speech-to-text with ultra-low latency and turn detection for human-like voice agents. Built for understanding complex conversations.
- High-accuracy transcription
- Custom vocabulary injection
- Speaker diarization
- Topic & language detection
- End-of-thought detection
Convert audio into text to analyze conversations, detect intent, and generate actionable insights.
Fast, affordable transcription for podcasts, videos, and broadcasts with accurate captions and summaries.
- Rich content captioning
- SEO and audience expansion
- Content moderation & analytics
- Searchability & user experience
- Streamline workflows
FAQs
Trusted by startups and enterprises
Discover the power of our product through real stories.
I was floored when I tested Nova-3 against dozens of product names that do not exist as real words. Nova-3 boosted cognitive recognition from almost no capability to near 100% accuracy.
As we’ve begun to roll out Deepgram to our customers, we’ve noticed the platform’s distinct ability to quickly and accurately transcribe product and company names.
I’d recommend Deepgram to any B2B SaaS company that’s looking for the best-in-breed transcription and customer service and customer success.
Not only is Deepgram’s technology the most advanced we found, but working with them has been an absolute pleasure.
Deepgram's Nova-3 model is a remarkable leap forward in data extraction. The enhanced contextual information makes transcriptions more actionable, turning data into valuable insights.
Deepgram has another winner with the Nova 3 model. I've observed significant improvements in transcription accuracy, particularly with proper nouns.
Deepgram’s launch of Flux is a perfect example of that vision coming to life. By embedding turn-taking directly into recognition, Flux solves one of the hardest challenges in conversational AI.
Where speech recognition and turn detection happen in the same model, solves challenges we've been wrestling with. It's exactly what voice agent developers need, and we’re excited to bring Flux into the Pipecat ecosystem.
We saw a massive jump in accuracy with Nova-3. Previous models recognized only 10% of critical veterinary terms, but with Nova-3 and keyterm prompting, we're seeing a 625% improvement.
Ready to get started?
Start building voice-first applications today with Deepgram’s speech-to-text API. It is fast, accurate, scalable, and easy to integrate.