data science + Machine Learning
ASR That Reminds You
Why You Love Data Science
Deploy the world’s most accurate speech recognition models at scale while continuously improving model performance with state-of-the-art training and data labeling.
Ditch the grunt work. Start making things happen.
You didn’t get into this to spend your days on the mind-numbing task of transcribing, labeling, and prepping audio files looking for a diamond-in-the-rough insight. With Deepgram, you can ditch the grunt work and create models ON TOP of accurate transcripts. Go ahead, start building new models that knock their data-loving socks off
Maximum Accuracy at All Times
We’ve rebuilt ASR with end-to-end deep learning, powered by NVIDIA GPUs. Our approach allows us to deliver 70% accuracy out of the box, and reach over 95% accuracy with state-of-the-art AI model training. Use models trained specifically for your audio needs and start delivering ground breaking insights.
Experiment to your heart’s content.
Getting to the optimal WER or WRR for your use case isn’t easy. Leverage our base models for training, or contact us for an Expert trained solution that you can deploy in batch, real-time, on premises or in the cloud.
Create a rock-solid foundation for analytics.
Finally, parsable speech data that you can reliably use for analysis. With our easy to use API, developers or data scientists can add transcription features for usability such as punctuation, diarization, and sentiment analysis.
Deep Learning Patents
of Models Running Simultaneously
Words Processed and Growing
“Deepgram engines have outperformed any of the others that we have tried or looked into. Our accuracy levels are greater than 90% on virtually everything that we do.”
Compliance and QA
Increased audit-confirmed results to levels exceeding 95% accuracy.
“Being able to rely on Deepgram transcription, both on the front and back end of the call is paramount to accurate emotion detection for our Call Center Customers.”
VP of Product
Captured 100% of our call center audio.
“There could be hundreds of issues a customer is calling in about. Add to this complexity there is a distribution of words, specific to each of our customer’s brands. We couldn’t get these words right using Google, Amazon or Speechmatics, and are thrilled to finally reach our accuracy goal with Deepgram.”
In a head to head test, Deepgram model training yielded a lower WER.
“Deepgram is doing groundbreaking work in the speech analytics field, and we are delighted to be working closely with them. Their world class GPU-accelerated speech recognition enables faster, more accurate natural language processing that will make an important impact on a range of industries.”
VP of Business Development
Powered by the NVIDIA GPU architecture and 11 Deep Learning patents, Deepgram is the most cost efficient ASR.
“Google dumped out a big, disgusting JSON file with quality that wasn’t good enough. Deepgram was first accuracy-wise and produced, by far, the easiest transcriptions to work with.”
PhD Student Research
Stanford’s Graduate School of Education
Deepgram was first accuracy-wise when compared to Google.