"Reality is your best armor."
Deepfake Detection is a blazing-fast Chrome Extension + Telegram Bot that detects AI-generated fake images and videos in real-time.
✅ No installations
✅ No complex setup
✅ Download → Load into Chrome or start the bot → Detect Deepfakes Instantly
👉 | Chrome Extension |
---|---|
📥 | Download Here (MediaFire) |
👉 | Visit Our Website |
---|---|
🌐 | v0dev - Official Site |
- Download the
.crx
or.zip
file from the link above - Open Chrome → Go to
chrome://extensions/
- Turn ON Developer Mode (top-right)
- Click Load unpacked → Select the extracted folder
- 🎯 Done! Start detecting deepfakes in real time
📖 More instructions + demo videos on v0dev.site
Powered by FastAPI + Uvicorn
This is the REST API backend that powers the Chrome extension.
pip install -r requirements.txt
# Then run the server:
uvicorn main:app --host 0.0.0.0 --port 8000
- Accepts image or video uploads from the extension
- Processes files using trained deepfake models
- Returns detection results in real-time
⚠️ Make sure model files are present and properly loaded withinmain.py
.
"Because deepfakes don't announce themselves."
Includes:
deepfake_bot.py
— Telegram bot logicrequirements.txt
— Python dependenciesmodels.txt
— Direct download links for pretrained models.env
— Required for API keys (not included)
cd backend
python -m venv .venv
# Activate:
# Windows
.venv\Scripts\activate
# macOS/Linux
source .venv/bin/activate
pip install -r requirements.txt
Inside backend/
, create a .env
file:
TELEGRAM_TOKEN=your_telegram_bot_token
GOOGLE_VISION_API_KEY=your_google_vision_api_key
SERP_API_KEY=your_serp_api_key
Model download links are listed in models.txt
.
Download and place them in backend/
.
python deepfake_bot.py
Start chatting with the bot on Telegram:
Send /start
, then upload an image → Get instant deepfake results!
- 🧠 AI-Powered Deepfake Detection
- 🖼️ Image & Video File Scanning
- ⚡ Instant Results (Few Seconds)
- 🔒 100% Local Processing (Privacy First)
- 🌐 Works on WhatsApp Web, Instagram, Telegram, Facebook
Layer | Tools Used |
---|---|
Frontend | React.js, Tailwind CSS |
Extension | JavaScript + API (FastAPI) |
Backend | TensorFlow, FastAPI, Uvicorn |
Models | ViT, MViTv2 |
Metric | Value |
---|---|
🎯 Accuracy | >90% |
⚡ Detection Speed | <5s (Images) |
🎥 Video Support | Short Clips |
🔒 Privacy | 100% Local |
- 📱 Mobile App Version
- 🎙️ Audio Deepfake Detection
- 🚨 Enhanced Threat Alerts & Reports
Licensed under the MIT License.
You are free to fork, remix, and contribute.
Developed by People Who Can’t Trust Their Own Eyes 👀 | Stay Real 🌌