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What is Note67?

Note67 is a cutting-edge meeting assistant that emphasizes user privacy, specifically designed for professionals who demand complete control over their data. Unlike traditional transcription services that rely on cloud infrastructures, Note67 functions as an open-source, local-first application tailored for macOS, allowing users to record audio, transcribe conversations, and generate insightful summaries right on their devices. This method ensures that audio files and text data remain solely within your system, significantly reducing the chances of data breaches. Built with a focus on security and performance, the application employs Rust and Tauri to deliver a seamless, native experience. It features sophisticated local AI capabilities, utilizing Whisper for accurate speech recognition and Ollama for creating detailed meeting summaries through the power of local Large Language Models (LLMs). Key Features: 100% Local Processing: With the on-device Whisper models, your audio recordings and transcripts stay completely private, providing reassurance during confidential meetings. Moreover, the intuitive interface of Note67 allows professionals to easily navigate and make the most of its robust functionalities, fostering greater productivity and collaboration. As a result, users can engage in discussions with the confidence that their information is secure.

What is Decibri?

Decibri is a Rust-based audio library designed for developers who are creating applications centered on real-time speech, voice agents, and audio processing. It provides essential features, including microphone input, speaker output, PCM streaming, and audio file management, complemented by a command-line interface compatible with Python, Node.js, Rust, and browser APIs. Among its extensive capabilities are voice activity detection, acoustic echo cancellation, and optional enhancements like denoising, filtering, automatic gain control, and limiting. Developers can seamlessly stream captured audio to both cloud and local speech-to-text services, while simultaneously utilizing its audio output systems to playback synthesized speech. This library caters to a wide range of applications, such as building voice assistants, transcription services, conversational agents, wake-word detection systems, interactive robotics, full-duplex speech systems, and audio processing pipelines, making it suitable for use in edge devices as well. It comes with prebuilt native packages that support Windows, macOS, and Linux, and the implementations for Python and Node.js are especially user-friendly as they require no additional build tools for installation. Furthermore, the browser-compatible version enhances accessibility by allowing audio capture, energy-based speech detection, and playback, thereby broadening its usability across a variety of platforms. With its robust feature set and adaptability, Decibri stands out as a significant asset for audio application development, empowering creators to innovate within this dynamic field.

Media

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Media

No images available

Integrations Supported

Integrations Supported

Amazon Transcribe
AssemblyAI
Azure AI Speech
Deepgram
Google Cloud Speech-to-Text
OpenAI Realtime API
Voxtral

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$0
The core audio library is free under Apache-2.0. Fees for cloud speech-service providers are separate.
Free Version

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Note67

Date Founded

2025

Company Location

Singapore

Company Website

note67.com

Company Facts

Organization Name

Decibri

Date Founded

2008

Company Location

Australia

Company Website

decibri.com

Categories and Features

AI Meeting Assistants

Not specified

Categories and Features

AI Infrastructure

Not specified

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