Zackriya-Solutions/meeting-minutes

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.

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