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* feat: WIP doc (vibe started and iterated) * install from scratch docs * caddyfile.example * gitignore * authentik script * authentik script * authentik script * llm doc * authentik ongoing * more daily setup logs * doc website * gpu self hosted setup guide (no-mistakes) * doc review round * doc review round * doc review round * update doc site sidebars * feat(docs): add mermaid diagram support * docs polishing * live pipeline doc * move pipeline dev docs to dev docs location * doc pr review iteration * dockerfile healthcheck * docs/pr-comments * remove jwt comment * llm suggestion * pr comments * pr comments * document auto migrations * cleanup docs --------- Co-authored-by: Mathieu Virbel <mat@meltingrocks.com> Co-authored-by: Igor Loskutov <igor.loskutoff@gmail.com>
61 lines
2.9 KiB
Markdown
61 lines
2.9 KiB
Markdown
---
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sidebar_position: 1
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title: Introduction
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---
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# Welcome to Reflector
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Reflector is a privacy-focused, self-hosted AI-powered audio transcription and meeting analysis platform that provides real-time transcription, speaker diarization, and summarization for audio content and live meetings. With complete control over your data and infrastructure, you can run models on your own hardware (roadmap - currently supports Modal.com for GPU processing).
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## What is Reflector?
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Reflector is a web application that utilizes AI to process audio content, providing:
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- **Real-time Transcription**: Convert speech to text using [Whisper](https://github.com/openai/whisper) (multi-language) or [Parakeet](https://github.com/NVIDIA/NeMo) (English) models
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- **Speaker Diarization**: Identify and label different speakers using [Pyannote](https://github.com/pyannote/pyannote-audio) 3.1
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- **Topic Detection & Summarization**: Extract key topics and generate concise summaries using LLMs
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- **Meeting Recording**: Create permanent records of meetings with searchable transcripts
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## Features
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| Feature | Public Mode | Private Mode |
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|--------------------------------------------|------------|--------------|
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| **Authentication** | None required | Required |
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| **Audio Upload** | ✅ | ✅ |
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| **Live Microphone Streaming** | ✅ | ✅ |
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| **Transcription** | ✅ | ✅ |
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| **Speaker Diarization** | ✅ | ✅ |
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| **Topic Detection** | ✅ | ✅ |
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| **Summarization** | ✅ | ✅ |
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| **Virtual Meeting Rooms (Whereby, Daily)** | ❌ | ✅ |
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| **Browse Transcripts Page** | ❌ | ✅ |
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| **Search Functionality** | ❌ | ✅ |
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| **Persistent Storage** | ❌ | ✅ |
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## Architecture Overview
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Reflector consists of three main components:
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- **Frontend**: React application built with Next.js
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- **Backend**: Python server using FastAPI
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- **Processing**: Scalable GPU workers for ML inference (Modal.com or local)
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## Getting Started
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Ready to deploy Reflector? Head over to our [Installation Guide](./installation/overview) to set up your own instance.
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For a quick overview of how Reflector processes audio, check out our [Pipeline Documentation](./pipelines/overview).
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## Open Source
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Reflector is open source software developed by [Monadical](https://monadical.com) and licensed under the **MIT License**. We welcome contributions from the community!
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- [GitHub Repository](https://github.com/monadical-sas/reflector)
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- [Issue Tracker](https://github.com/monadical-sas/reflector/issues)
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- [Pull Requests](https://github.com/monadical-sas/reflector/pulls)
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## Support
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Need help? Reach out to the community through GitHub Discussions. |