Speech-to-text that outshines OpenAI Whisper
When it comes to speech-to-text, avoid shortcuts that lead to dead ends. Deepgram is 36% more accurate, up to 5x faster, and has lower TCO than OpenAI Whisper. Find out why innovators are switching from OpenAI Whisper to the most powerful speech-to-text API. Start building with Deepgram today.
All the features. Better performance. Lower cost.
What sets Deepgram apart
Innovation Leader in Speech AI
Deepgram's proprietary deep learning models are optimized for speech data and extensively trained on diverse datasets, achieving industry-leading performance for both pre-recorded and streaming transcription.
Custom Model Training
Deepgram supports tailored ASR models optimized with customer-specific data, especially important in industries with domain-specific jargon, accents, or unique speech patterns.
Advanced Feature Support
Deepgram offers extensive multilingual support, advanced formatting features like speaker diarization, smart entity formatting, and filler words, and powerful language understanding models like summarization, sentiment analysis, and topic detection.
The industry leader in ASR accuracy, speed, and cost
Discover what Deepgram's Language AI solutions can do for you! Our speech-to-text APIs set the gold standard in the market in both performance and cost:
36% more accurate than OpenAI Whisper
5 times faster transcription speeds for pre-recorded audio and native streaming support that Whisper lacks
25% more affordable than their managed API
Our flexible deployment options include on-premises, and private or public cloud where our GPU-optimized inference engine handles more concurrent audio streams and gives you faster results and lower total cost of ownership (TCO) than running Whisper yourself.
From transcription to understanding
Deepgram's Language AI models let you extract more value from your voice data without hiring additional experts across all your use cases.
Our Task/Domain-Specific Language Models perform downstream tasks like summarization and sentiment analysis faster and more affordably than Large Language Models (LLMs) can.
In the contact center domain, language understanding APIs boost user experience and agent productivity by capturing crucial conversational context, including the customer's purpose, agent's response, and follow-up actions.
Don’t just take our word for it
Deepgram was named a G2 Leader in 2023, solidifying its position in the industry and making it a top choice among developers. See why.
