Speech-to-Text for Contact Centers
Transcribe All Your Calls Without Sacrificing Accuracy, Speed, or Cost
It’s not a pipe dream but a new reality. 90%+ trained accuracy, 300-millisecond transcription speed, at a fraction of the cost of legacy Automatic Speech Recognition (ASR). With our Speech-to-Text API for contact centers, never miss a customer insight, selling opportunity, or coaching moment.
Real-Time Enablement
Real-time call center transcriptions are only useful if they are highly accurate and can help your agents sell better or resolve issues faster. What if you can link your rolling transcriptions to your knowledge base or (Artificial Intelligence) AI system to provide the agent with resolution tips, selling options, or add-on products and services advice? That would be real-time business-changing enablement that can be used in addition to existing ASR solutions.
Accuracy in Context
For your contact center transcriptions, garbage in is garbage out. So why settle for <80% accuracy with hard-to-understand call transcripts? Our Speech Models can be trained to your specific use case including terminology, product terms, acronyms, and accents. Now you can genuinely search your voice data for missed buying signals, poor customer service, or non-regulatory compliance.
Speed Without Sacrifice
What if you could transcribe mountains of call recordings for better insights into your product, services, and support? We can transcribe one hour of audio in 3 seconds with 90%+ trained accuracy. So you can transcribe and analyze a whole day of call data within that same day. How is that for fast?
No Breaking the Bank
Are you only transcribing 5-10% of your calls because of high ASR costs and large computing resources? Our AI Speech Platform can run 300 audio streams on one GPU instead of 300 CPUs. Analyze ALL your call data for actionable intelligence without breaking the bank.
“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.
“With voice data sets increasingly seen as a strategic asset awash with rich insights, timely access to high-quality audio and transcripts for AI engines to reason over is critical. Our partnership with Deepgram delivers this, underpinned by market-leading infrastructure and TCO.”
CPO
Red Box Voice
“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.”
CTO
Tethr
Why They Chose Deepgram: Listening Correctly at Scale
No compromises.
Only opportunities.
What could you do with 90%+ accuracy and real-time 300-milliseconds transcription speed at a fraction of the cost of legacy ASR solutions?
