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Decibri

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Cross-platform audio infrastructure for real-time Voice AI and AI agents, featuring audio capture, streaming, voice activity detection, noise reduction, and echo cancellation.

Decibri homepage showcasing the unified audio infrastructure platform for real-time Voice AI and AI agents, including cross-platform audio processing, streaming, and developer SDKs for Python, Node.js, and Rust.

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Since

  • Since 2026

Updated

  • Updated Oct 2026

Platforms

  • Mac
  • Windows
  • Linux
Decibri developer documentation featuring installation guides, API references, code examples, and technical guidance for audio capture, voice activity detection, noise reduction, acoustic echo cancellation, and real-time audio processing.
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Decibri information

  • Developed by

    AU flagDecibri

  • First released

    2026

  • Licensing

    Open Source (Apache-2.0) and Freemium product.

  • Pricing

    Usage-based pricing (pay per credit or per use) + free version with limited functionality.

  • Written in

  • Alternatives

    8 alternatives listed

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  • Supported Languages

    • English

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Development

GitHub repository

  •  30 Stars
  •  4 Forks
  •  8 Open Issues
  •   Updated  
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What is Decibri?

Decibri is a unified audio infrastructure platform for building real-time Voice AI applications, conversational AI agents, and speech-enabled software.

Built around a high-performance Rust core, Decibri provides cross-platform microphone capture, speaker playback, real-time audio streaming, multichannel audio support, and audio file processing through Python, Node.js, and Rust interfaces.

Its Audio Conditioning Engine (ACE) includes voice activity detection (VAD), acoustic echo cancellation (AEC), noise reduction, automatic gain control, and audio filtering.

Decibri supports integration with cloud and local speech-to-text (STT) and text-to-speech (TTS) engines, enabling developers to build voice assistants, conversational agents, interactive robotics, and speech processing applications.

Decibri combines open-source components with proprietary technologies and commercial offerings. Its architecture supports applications ranging from local audio processing to enterprise Voice AI deployments.