Voice-to-Summary AI

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Voice-to-Summary AI Notepad is a modular backend API built with FastAPI that transcribes audio files and summarizes the content using LLMs. It supports MP3/WAV uploads, Whisper-based transcription, and GPT-powered summarization. Designed for developers to plug into any frontend and extend with custom auth or workflows.

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Template Details

Features

Upload and transcribe audio files (MP3, WAV)

Summarize transcripts using GPT or Hugging Face

Modular FastAPI architecture

Async endpoints for performance

Switch between local and API-based Whisper

ENV-based model configuration

Basic audio validation and preprocessing

Pydantic schemas for clean request/response handling

Auth-ready structure with placeholder module

Frontend-agnostic design

Technologies Used

Python 3.10+ FastAPI Pydantic Whisper (OpenAI or local) OpenAI GPT-4 Hugging Face Transformers Uvicorn PyDub (optional) ffmpeg-python (optional)

Requirements

Python 3.10 or higher

OpenAI API key or Hugging Face token

FastAPI-compatible environment

Uvicorn for local server

ffmpeg installed (for audio conversion, optional)

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