Zackriya-Solutions/meeting-minutes
Meeting Minutes
This project is a self-hosted meeting transcription and summarization tool that converts audio recordings into text transcripts and structured notes using large language models. It functions as an enterprise meeting documentation manager, allowing for the organization and editing of timestamped records.
The system prioritizes data privacy through local-first processing and the ability to deploy on private infrastructure. It supports a provider-agnostic architecture, enabling users to connect to local AI engines, self-hosted servers, or cloud-based API endpoints for both transcription and summarization.
The platform covers a broad range of capabilities, including multilingual speech-to-text, real-time audio capture of system and microphone sounds, and hardware-accelerated transcription. It features a template-driven system for generating consistent summaries, role-based access control for team management, and tools for exporting content to PDF, Word, and Markdown formats.
Security is handled through data-at-rest encryption and frameworks for regional data compliance such as GDPR and HIPAA.
Features
- Audio Transcription - Converts live or recorded audio into text transcripts using local AI models or cloud-based API endpoints.
- Meeting Summarization - Provides AI-driven generation of concise meeting notes and action items from audio transcripts.
- AI Model Configurations - Provides interfaces for configuring AI model parameters and API keys based on privacy needs.
- AI Provider Integrations - Integrates with both local and cloud AI model providers via API keys and server endpoints.
- Real-Time Transcription - Captures and converts live audio from microphones and system sounds into transcripts instantaneously.
- Transcription APIs - Integrates with third-party cloud APIs to provide high-speed and high-accuracy audio transcription.
- Self-Hosted Server Integration - Connects to OpenAI-compatible transcription servers on local networks to ensure data privacy.
- Transcript Management Systems - Organizes timestamped meeting records for teams using role-based access control and structured export options.
- LLM Provider Integrations - Standardizes communication across diverse local and cloud-based LLM and transcription endpoints.
- Self-Hosted Summarizers - Provides an on-premise application for processing meeting audio into notes while keeping data within private infrastructure.
- Template-Based Summaries - Produces structured meeting summaries using configurable templates for consistent formatting.
- Speech-to-Text Integrations - Provides an interface for managing audio imports and configuring connections to local or cloud transcription providers.
- Meeting Data Management - Provides tools for processing, storing, and managing timestamped meeting transcripts and recordings with speaker attribution.
- Multilingual Processing - Provides speech-to-text processing across various global languages and regional dialects.
- Local Data Processing - Processes audio and text locally on the user's hardware to maintain data privacy and sovereignty.
- Model Imports - Enables the import of specialized transcription models from online repositories with format validation.
- Transcript Editors - Provides a text editing interface for refining and correcting transcription results with real-time highlighting.
- Local LLM Configurations - Supports connectivity to self-hosted LLM servers to ensure data processing remains on private infrastructure.
- Multilingual Speech-to-Text - Processes audio across different languages and dialects to generate accurate text records.
- On-Device Models - Executes transcription using on-device models to ensure audio data never leaves the local machine.
- Prompt Templates - Uses predefined prompt templates to guide AI models in producing consistently formatted summaries.
- Transcription Refinement Pipelines - Allows re-processing audio using different models and providers to refine the accuracy of existing transcripts.
- Team Collaboration Management - Coordinates organizational user access via centralized dashboards and directory integration.
- Content Formats and Exporting - Exports meeting transcripts and summaries into Markdown, Word, and PDF formats while preserving structure.
- On-Premise Deployment - Supports installation on-premise or within private clouds to ensure sensitive audio and transcription data remains controlled.
- Self-Hosted Infrastructure - Runs transcription and summarization on private infrastructure to maintain data privacy and regulatory compliance.
- System Audio Capture - Captures simultaneous system audio and microphone input with intelligent clipping prevention.
- Encrypted Persistence - Protects sensitive meeting data using encryption at rest on local storage to prevent unauthorized access.
- Data Residency Controls - Applies frameworks for GDPR, HIPAA, and NIS2 to ensure data residency and regional regulatory alignment.
- Role-Based Access Control - Manages team visibility and user permissions through a centralized role-based access control system.
- Summary Layouts - Allows users to define custom formatting structures for different meeting types to ensure consistent output.
- Transcription Engine Adapters - Provides a pluggable architecture to switch between various speech-to-text engines and models.
- Summary Template Management - Includes tools to create and organize custom structural templates for AI-generated meeting notes.
- AI & Machine Learning - AI-based meeting note taker.
