What is Speech-to-text?
Speech to text converts spoken audio into written words that can be searched, analyzed, displayed as captions or used by an application.
Emotion Recognition
Detects user emotions to make conversations more empathetic
Industry-Leading accuracy and speed
Pulse STT outperforms the competition with the lowest Word Error Rates across 30+ languages and sub-70ms latency for seamless, real-time conversations.
Follow every capability to its source
Review implementation details and evidence for accuracy, intelligence, language handling, speakers, redaction, and model choice.
Accuracy and latency
See the evaluation methodology, latency measurements, and accuracy results.
Emotion detection
Go beyond words by returning emotional context with the transcript.
Language detection
Automatically identify the language in incoming audio before downstream processing.
Speaker diarization
Separate and label speakers in multi-speaker audio.
Sensitive-data redaction
Handle sensitive information in transcripts before it moves into downstream workflows.
Pulse
Review the model card for current real-time use cases, capabilities, and release details.
Pulse Pro
Review the model card for current high-accuracy recorded-audio positioning.
Pulse
Best for live audio, voice agents, and streaming transcription.
Live streaming & recorded
Pulse Pro
Built for the highest transcription accuracy on recorded audio
Max accuracy in transcription
Available only in English
Turn conversations into useful data
Build voice agents, captions, meeting notes, subtitles, call analytics, documentation, search and accessibility tools.
Audio in. Structured text out.
Build real-time pipelines with Node and Python SDKs, without managing speech infrastructure or middleware.
Node SDK
Real-time pipelines
Python SDK
Backend workflows
Live streams
Voice agents and calls
Recorded audio
Media and archives
Speech intelligence for the next workflow
Follow the product or solution path that matches what you need to put into production.
Voice AI
Stream transcripts into conversational systems that need fast turn-taking.
AI notetakers
Combine transcription, speaker separation, and timestamps for searchable meeting records.
Call centers
Transcribe conversations for QA, analytics, and automation.
Pay for the minutes you use
Choose the right model, scale with usage and estimate costs through the on-page calculator.
Choose a model
Pulse or Pulse Pro
Set your usage
Minutes, not seats
Estimate cost
Before production
Scale as needed
No fixed workflow
Frequently
asked questions
Can I try speech to text online?
Does Pulse work in real time?
Can it identify different speakers?
How many languages are supported?
Can I use Pulse for voice agents?
Explore the Speech-to-Text category
Transcription by use case
Move into the workflow that best matches the audio.
Speech recognition guides
Read the technical and evaluation resources behind production choices.