Nvoice Download

Nvoice ยท Developers

Keep the technical context
close to the decision.

Nvoice gives developers an example way to inspect a stand-up, architecture review, support call, or demo detail before returning to their existing workflow.

Add Nvoice to your workflow See the technical example

This page shows an example workflow. Check current Nvoice product and policy details before relying on it.

Example architecture review Example state

VISIBLE CONTEXT

10:04 The service boundary changes after the review.

10:05 The owner will confirm the migration step.

EXAMPLE QUESTION

What decision needs confirmation?

Example response: Confirm the service owner and migration review.

Example response from visible context

During technical work

Clarify the term or decision without leaving the conversation.

01

A term needs context

Technical wording moves quickly in a review or support call.

02

A decision has an owner

Ownership and timing need a clear follow-up.

03

The record needs review

Return to the meeting context before changing a workflow.

Example sequence

Listen. Clarify. Review. Continue.

  1. 01 Listen

    Notice the detail that needs attention.

  2. 02 Clarify

    Form a focused question.

  3. 03 Review

    Check the context with people involved.

  4. 04 Continue

    Use the reviewed next step in your existing workflow.

Example review

Confirm the owner before the migration step.

10:02 A service boundary changes.

10:04 The migration concern is named.

10:05 The team confirms the next review.

Open source for builders

Nvoice Desktop Audio SDK is open-source on GitHub.

Use Nvoice's desktop capture pipeline in your own product. According to the current README, the SDK runs on macOS (Intel + Apple Silicon), supports C/C++ integration, and exposes five postprocess streams via the callback extension point.

  • 5 stream taps: Mic Raw, Near-end, Far-end, Mix, Final
  • Built on PortAudio + CoreAudio + WebRTC APM (AEC3, NS, AGC)
  • 16kHz mono / 10ms default frame profile for low-latency voice pipelines

AUDIO PROCESSING ARCHITECTURE (README)

Voice AI App
	|
capture_postprocess_callback
	|-- Mic Raw
	|-- Near-end (Post-AEC)
	|-- Far-end (Playback Ref)
	|-- Mix
	`-- Final (LLM Ready)
	|
WebRTC APM: AEC / NS / AGC / VAD
	|
PortAudio + CoreAudio + Blackhole-2ch
Voice AI assistant
Send Final to ASR/LLM while retaining Far-end and Near-end for quality debugging.
Call analytics
Run diarization and KPI scoring on Mix while preserving raw channels for audits.
Meeting copilot
Use Near-end for cleaner transcripts and action extraction in noisy environments.
Audio R&D workflow
Leverage offline processor and stream dumps to tune AEC/NS/AGC parameters.
View SDK on GitHub

Questions before you start

Review the details that affect your workflow.

Your next review

Keep the technical question close to the context that answers it.

Review download options