is hard. We make it
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.
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.
Each word includes an associated timestamp. Drill into audio snippets with specific start and end times.
Find specific terms or phrases within transcripts based on phonetic patterns, not text.
Accurately identify and transcribe audio across multiple languages, accents and dialects.
Use punctuation in your transcripts to make them easier for humans, and machines to read.
Reliably identify speaker changes across single and multi-channel audio.
Keep the conversation flowing. Transcribe phone and meeting conversations as they happen.
Identify up to 10 different speakers at one time. Don’t worry we won’t charge you multiple times.
Automatically redact sensitive data such as PCI from transcripts.
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.
“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
Capture 100% of our customer 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.