Speech recognition
is hard. We make it
easy.
Deploy accurate speech recognition at scale while continuously improving model performance by labeling data and training from a single console.
Speech-to-Text for Enterprise
We deliver state-of-the-art speech recognition and understanding at scale. We do it by providing cutting-edge model training and data-labeling alongside flexible deployment options. Our platform recognizes multiple languages, accents, and words, dynamically tuning to the needs of your business with every training session.
Conquer Complex Audio
Cut through heavy background noise, crosstalk and strong accents with state-of-the-art speech recognition.
Data security
We leverage Enterprise grade security controls across data at rest and in motion.
Multiple audio types
Support over 40 different audio formats including WAV, MP3, FLAC, and AAC. No need to create different jobs for different file extensions.
Timestamps
Each word includes an associated timestamp. Drill into audio snippets with specific start and end times.
Customizable
Each model is tuned to the audio you care about. This is done through state-of-the- art data labeling and model training.
Deep search
Accurately identify top terms or phrases in your audio with acoustic pattern matching, instead of text search.
Multi-language support
Accurately identify and transcribe audio across multiple languages, accents and dialects.
Punctuation
Use punctuation in your transcripts to make them easier for humans, and machines to read.
Multi-channel support
Reliably identify speaker changes across single and multi-channel audio.
Real-time streaming
Keep the conversation flowing. Transcribe phone and meeting conversations as they happen.
Diarization
Identify up to 10 different speakers at one time. Don’t worry we won’t charge you multiple times.
Flexible deployment
Train your models and deploy anywhere – on premises, VPC or in the cloud
Redaction
Automatically redact sensitive data such as PCI from transcripts.
Easy integration
Connect to any audio data source and deliver accurate transcripts to the user facing system of your choice.
Automatic Speech Recognition, Powered by AI
We’ve rebuilt the entire speech processing stack, ditching traditional data processing pipelines, Hidden Markov models and heuristics for end-to-end deep learning. Our Deep Neural Network (DNN) utilizes Convolutional (CNN) and Recurrent Neural Networks (RNN) to deliver the fastest, most accurate, reliable, and scalable speech solution on the market.
vs.
“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
Randall Reilly
“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
Sharpen
“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.”
CTO
Agara
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
NVIDIA
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
Want to hear more from our customers?
