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Mathieu Virbel
2025-08-22 16:26:25 -06:00
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@@ -9,8 +9,6 @@ Reflector is an AI-powered audio transcription and meeting analysis platform tha
[![License: MIT](https://img.shields.io/badge/license-MIT-green.svg)](https://opensource.org/licenses/MIT)
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## Screenshots
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## What is Reflector?
Reflector is a web application that utilizes AI to process audio content, providing:
- **Real-time Transcription**: Convert speech to text using [Whisper](https://github.com/openai/whisper) (multi-language) or [Parakeet](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2) (English) models
- **Speaker Diarization**: Identify and label different speakers using [Pyannote](https://github.com/pyannote/pyannote-audio) 3.1
- **Live Translation**: Translate audio content in real-time to many languages with [Facebook Seamless-M4T](https://github.com/facebookresearch/seamless_communication)
- **Topic Detection & Summarization**: Extract key topics and generate concise summaries using LLMs
- **Meeting Recording**: Create permanent records of meetings with searchable transcripts
Currently we provide [modal.com](https://modal.com/) gpu template to deploy.
## Background
The project architecture consists of three primary components:
- **Front-End**: NextJS React project hosted on Vercel, located in `www/`.
- **Back-End**: Python server that offers an API and data persistence, found in `server/`.
- **GPU implementation**: Providing services such as speech-to-text transcription, topic generation, automated summaries, and translations. Most reliable option is Modal deployment
- **Front-End**: NextJS React project hosted on Vercel, located in `www/`.
- **GPU implementation**: Providing services such as speech-to-text transcription, topic generation, automated summaries, and translations.
It also uses authentik for authentication if activated, and Vercel for deployment and configuration of the front-end.
It also uses authentik for authentication if activated.
## Contribution Guidelines