VidSnap AI 🎬

Create AI-powered video reels from images and text using Flask, ElevenLabs TTS, and FFmpeg. VidSnap AI is a Flask-based web application that transforms user-uploaded images and custom text into engaging video reels.

The application uses ElevenLabs Text-to-Speech technology to convert text into natural-sounding narration and automatically combines images, audio, and visual effects into a shareable reel. Generated videos can be viewed through a built-in gallery page.

Features

• Upload multiple images
• Enter custom text for narration
• AI-powered text-to-speech using ElevenLabs
• Automatic reel generation
• Built-in gallery for viewing generated videos
• Simple and responsive web interface

Tech Stack

• Python
• Flask
• HTML5
• CSS3
• ElevenLabs API
• Pillow (Image Processing)
• FFmpeg
• JavaScript

Project Workflow

1. User uploads images.
2. User enters custom text.
3. Text is converted into speech using ElevenLabs.
4. Images and audio are processed and combined.
5. A video reel is generated automatically.
6. Generated reels are displayed in the gallery.

Installation

Clone the repository

git clone https://github.com/Priyam792/VidSnap-AI.git
cd VidSnap-AI

Install dependencies

pip install -r requirements.txt

Configure Environment Variables

Create a .env file:

ELEVENLABS_API_KEY=your_api_key_here

Run the application

python main.py

Screenshots

Home Page	Create Page
Gallery Page	Generated Reel

Future Improvements

• Multiple voice options
• Custom background music selection
• Video templates
• Download and sharing options
• User authentication

Author

Priyam

GitHub: https://github.com/Priyam792