Voice AI Agents
Power conversational agents with cleaner input, better turn-taking, and more reliable interaction flow.
50K+ Agents•1B+ Monthly Minutes•On-Device Processing•Enterprise Ready•Real-Time Voice Clarity•No Infrastructure Changes•SOC 2 Type II•Language Agnostic•50K+ Agents•1B+ Monthly Minutes•On-Device Processing•Enterprise Ready•Real-Time Voice Clarity•No Infrastructure Changes•SOC 2 Type II•Language Agnostic•50K+ Agents•1B+ Monthly Minutes•On-Device Processing•Enterprise Ready•Real-Time Voice Clarity•No Infrastructure Changes•SOC 2 Type II•Language Agnostic•
Experience THE DIFFERENCE
See how Orpheus SDK transforms messy, unstructured speech into clean, structured input that machines and Voice AI can process reliably.
Main speaker
.......HiIlike...thoseschedulestomorrowmorning.........................MyconfirmationnumberisAX402..and......canyoualsoswitchmetoanhonesty..andCindyupdatedeachothertomymeal.Thankyou.
Background:
.......shhh,don'tcryLili,don'tcry,.......mommy'sgonefor5min........She'llbebacksoon........shhh,don'tcry............................
Works across all languages
CORE VOICE PROCESSING MODELS
A unified SDK combining speaker isolation, turn-taking, and voice activity detection to deliver cleaner, structured audio for Voice AI systems.
Voice Isolation & Noise Cancellation
Isolate the primary speaker and remove overlapping speech and background noise in real time to deliver clean, machine-ready audio.
- Isolates dominant speaker in multi-speaker environments
- Removes overlap and environmental noise
- Preserves speech features critical for ASR accuracy
Voice Isolation & Noise Cancellation
Isolate the primary speaker and remove overlapping speech and background noise in real time to deliver clean, machine-ready audio.
- Isolates dominant speaker in multi-speaker environments
- Removes overlap and environmental noise
- Preserves speech features critical for ASR accuracy
PRE-ASR PROCESSING LAYER FOR VOICE AI SYSTEMS
Orpheus SDK structures raw audio in real time before ASR, improving transcription accuracy, response timing, and overall agent performance.
1
Raw Audio Input
Voice enters the system from calls, devices, or communication platforms, often noisy, overlapping, and unstructured.
2
Real-Time Audio Structuring
Orpheus isolates speakers, detects turn boundaries, and removes noise to convert raw audio into structured, machine-ready input.
3
Clean, Segmented Audio Output
Audio is delivered as clear, separated, and time-aligned speech streams, ready for downstream processing.
4
Optimized ASR Input
ASR receives clean, structured audio, improving transcription accuracy and reducing errors in challenging environments.
5
Improved Agent Performance
LLMs and voice agents operate on higher-quality input, enabling better understanding, faster responses, and more reliable interactions.
BUILT FOR VOICE AI AND SPEECH SYSTEMS
For teams building voice AI systems that rely on accurate transcription, real-time interaction, and structured audio input.
Real-Time Transcription
Improve speech-to-text accuracy in noisy, multi-speaker environments.
Speech Analytics
Enhance data quality for downstream analytics,
insights, and QA
systems.
Voice Translation
Improve input clarity for real-time translation systems and multilingual pipelines.
We noticed a meaningful drop in WER after integrating Orpheus. The difference in transcription accuracy was noticeable, especially on noisy audio.
Shrey Bansal
Founder/CEO at JobsUPI
Performance Impact
Measured improvements in transcription accuracy, turn-taking, and real-time processing across your voice AI pipeline
BUILT FOR ANY ENVIRONMENT
Integrate Orpheus anywhere. Works across languages, platforms, and system architectures.
Universal Integration
Integrate Orpheus SDK into any voice or audio pipeline with minimal effort.
- Works with any ASR, LLM, or voice system
- Fits into existing pipelines
- SDK-first, built for fast implementation
Cross-Platform Support
Run seamlessly across all major platforms and environments.
- macOS, Windows, Linux
- Mobile and desktop environments
- Browser and native applications
Language & Runtime Agnostic
Use Orpheus SDK with any programming language or runtime.
- Supports Python, C++, Node.js, and more
- Compatible across language versions
- Works with modern and legacy stacks
Supported across environments
C++
Python
Node JS
C Sharp
& more...Works with any ASR, LLM or voice stack
Built for Enterprise. Designed for Privacy.
On-device processing ensures full privacy with no data leaving your environment.
Frequently Asked Questions
Where does Orpheus SDK sit in the voice pipeline?
Orpheus SDK operates as a pre-ASR processing layer, sitting between raw audio input and your speech recognition system. It cleans, structures, and optimizes audio before transcription, improving overall ASR accuracy and conversational performance.
Does Orpheus SDK work with any ASR engine?
Yes. Orpheus SDK is ASR-agnostic and works with any speech-to-text system, including Deepgram, Whisper, Google Speech-to-Text, AWS Transcribe, and others. It does not require changes to your downstream pipeline.
What improvements can I expect in transcription accuracy (WER)?
Orpheus SDK can reduce Word Error Rate (WER) by up to 20–90%, depending on audio conditions such as background noise, overlapping speech, and speaker variability.
How does Orpheus SDK handle multiple speakers and interruptions?
Orpheus SDK includes speaker isolation, turn-taking, and voice activity detection (VAD) models that improve speaker separation and timing. This enables more accurate dialogue flow and reduces interruptions or missed responses in voice AI systems.
What programming languages and platforms are supported?
Orpheus SDK supports C++, Python, Node.js, C#, and more, and can be deployed across Windows, macOS, Linux, and browser environments, including WebRTC-based applications.
Is Orpheus SDK used for human-to-human calls or AI systems?
Orpheus SDK is specifically designed for Voice AI systems and speech analytics. It improves how machines understand speech before transcription. For human-to-human call clarity, a separate Hecttor Hermes SDK is used.