AI Speech Platform
Not All Automatic Speech Recognition (ASR) Solutions Are the Same
End-to-End Deep Learning is the difference between using voice data as a basic operational need and being able to use it as an actual growth strategy.
Why is End to End Deep Learning better?
2-3 Second Lag, Isn’t Really Real-Time
We think real-time is not measured in minutes or hours but in milliseconds. Open up real-time sales and support enablement with only a 300-millisecond transcription lag.
“Selected” Calls? How about ALL Calls.
Legacy ASR costs and computing resources limit a company’s voice transcriptions to selected calls. Our AI Speech Platform can transcribe 100% of your voice data at much lower costs to reduce compliance issues and improve employee coaching.
Custom Training = Better Data Insights
Better insights come from more accurate data. With our AI Speech Platform, you can optimize and train your speech models to get 90%+ accuracy at real-time speed for better insights and faster decisions.
Deployment: Cloud, On-Prem, or VPC
Our standard deployment is within our cloud, but for more sensitive voice and transcription data, we also offer an on-premises installation or a private cloud installation, where you can control the entire environment. Deepgram is Kubernetes-ready with Docker images, and has pre-built VM images to enable rapid deployment to most cloud providers. Train models and deploy anywhere – on premises or in the cloud.
Transcription
Accurate transcriptions up to 90%+ accuracy with trained models.
Real-time streaming (300-millisecond latency)
Keep the conversation flowing. Transcribe phone and meeting conversations as they happen.
Batch transcription (120x speedup)
Transcribe the backlog of audio files at 63X normal audio speed; i.e. transcribe one hour of audio in under one minute.
Multi-language
Accurately identify and transcribe audio across multiple languages, accents and dialects.
Punctuation and Capitalization
Use punctuation in your transcripts to make them easier for humans, and machines to read.
Audio Timestamps
Each word includes an associated timestamp. Drill into audio snippets with specific start and end times.
Diarization
Identify up to 10 different speakers at one time. Don’t worry we won’t charge you multiple times.
confidences
Each word and entire transcript is rated on confidence that the word or transcript is correct.
Deep search by phonetics
Accurately identify top terms or phrases in your audio with acoustic pattern matching, instead of text search.
REST API integration
Connect to any audio data source and deliver accurate transcripts to the user-facing system of your choice with our integrations.
Keyword boosting
Boost industry terms, unique product names, and company names to increase transcription confidence.
Redaction
Automatically redact sensitive data such as private health information or credit card information from transcripts.
Profanity filtering
Filter any profanity words from transcripts.
Multi-channel support
Reliably identify speaker changes across single and multi-channel audio.
Multi-audio types
Support over 40 different audio formats including WAV, MP3, FLAC, and AAC. No need to create different jobs for different file extensions.
Customizable
Each model is tuned to the audio you care about. This is done through state-of-the- art data labeling and model training.
Our Other Products and Services
No compromises.
Only opportunities.
You can have it all: accuracy, speed, scalability, and cost-effectiveness.