Transcription API checks all the boxes
Build or improve your voicebots with our SDKs or API
The SDKs you want — Python, .net, node.js, — plus top-notch docs
Pre-recorded (batch) or live-streaming (real-time) transcription
30+ languages supported for transcription, over 100 for translation
Conversational AI model with human-level accuracy for voicebots
Audio understanding with Topic and Language Detection
Easily identify who is speaking in multichannel audio with diarization
Accurate, real-time transcripts for human-like conversational AI bots.
Dialects and accents? Crosstalk? Jargon and slang? The speech recognition API that powers a voicebot has to be accurate and fast so the digital agent can respond to the caller in real-time. With Deepgram, our speech models correctly identify unique keywords and phrases such as product names, acronyms, and accents and more.
Big box speech-to-text software sucks
So we built a speech API for voicebots that could stand on its own.
Automatically identify and transcribe the dominant language in your audio to enhance overall customer experience.
Identify and label key topics for ease of classification to flag insights and trends to support agents.
Who’s talking?! Deepgram makes it easy to detect and label speaker changes throughout a conversation.
Dozens of Languages
Support your customers no matter the language. Transcribe audio in over 30 languages and dialects.
Coming soon! Determine positive, neutral, or negative opinions for better CX.
“For Conversational AI voicebots, it all starts off with speech recognition. If you don’t understand what the person said and transcribe it to text accurately, you are not in the game… Our partnership with Deepgram and their models in conjunction with our internal models that are trained on case-specific data get well over 90% accuracy.”