📸 Exif - Comprehensive Metadata Tool

🔎 Overview

Exif is a powerful metadata extraction and management tool that supports multiple file types including images, videos, audio, and documents.
It provides:

• 🖥️ A modern GUI for beginners
• 💻 A command-line interface (CLI) for advanced users

Use Exif to extract, analyze, edit, and remove metadata with ease.

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🖼️ GUI Screenshots

Main Interface

Document Metadata View

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🚀 Features

Image Support

• Extract EXIF data (camera model, ISO, shutter speed, etc.)
• View image properties (dimensions, color profile, format)
• Extract GPS data & view location on Google Maps
• Remove metadata for privacy

Video Support

• Extract video metadata (codec, duration, resolution, frame rate)
• Get audio stream details
• View technical specifications

Audio Support

• Extract ID3 tags (artist, album, track)
• View bitrate, sample rate, channels
• Manage audio properties

Document Support

• Extract metadata from PDF, DOCX, TXT
• Read author, title, creation/modification dates

Location Features

• Generate Google Maps links from GPS metadata
• View exact file location in browser

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📂 Supported File Formats

Category	Formats
Images	JPG, JPEG, PNG, GIF, BMP, TIFF
Videos	MP4, AVI, MOV, MKV
Audio	MP3, WAV, FLAC
Docs	PDF, DOC/DOCX, TXT

📊 Visualization Dashboard (NEW!)

• Interactive visualizations of metadata across multiple files
• Dark mode dashboard with Power BI-style layout
• 7+ chart types: pie charts, bar charts, timelines, scatter plots, histograms, box plots
• Statistical analysis: file type distribution, camera usage, ISO/aperture patterns, resolution analysis
• Export options: View charts in browser, save as HTML
• Fully interactive: Hover for details, zoom, pan, and more

Installation

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⚡ Installation

Prerequisites

• Python 3.8+
• Install dependencies:

pip install -r requirements.txt

Quick Setup

Run the automated setup script:

bash setup.sh

This will:

• Create a virtual environment
• Install all dependencies
• Set up the project structure
• Configure the environment

GUI Application

1. Clone the repository:

GUI Application

git clone https://github.com/AryanVBW/Exif.git
cd Exif
python exif-gui.py

CLI Tool

git clone https://github.com/AryanVBW/Exif.git
cd Exif
python exif-cli.py path/to/file

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🛠️ Usage Examples

Extract metadata from image

python exif-cli.py photo.jpg

📊 Visualization Dashboard

Quick Test (Sample Data)

Run a quick test with automatically generated sample data:

python test_visualizations.py

This will:

• Generate 150 sample files with realistic metadata
• Create 7 interactive visualizations
• Open the dashboard in your browser
• Save charts to exports/test_visualizations/

Full Demo (Your Files)

Process your actual media files and create visualizations:

python demo_visualizations.py

This will:

• Scan your media/ directory for files
• Extract metadata from all supported file types
• Perform statistical analysis
• Generate comprehensive visualizations
• Create an interactive dashboard
• Save to exports/ directory

Dashboard Features

The visualization dashboard includes:

• File Types: Pie chart showing file type distribution
• Camera Models: Bar chart of most-used cameras
• Timeline: Line chart of files over time
• File Sizes: Histogram with size distribution
• Resolution: Scatter plot of image dimensions
• ISO Settings: Distribution of ISO values
• Aperture: Box plot of aperture settings by camera

All charts are fully interactive:

• Hover to see detailed information
• Click and drag to zoom into specific areas
• Double-click to reset the view
• Use toolbar to save charts as PNG
• Click "⤢" icon to open chart in new tab

Supported File Types

Images

• JPG/JPEG
• PNG
• GIF
• BMP
• TIFF

Videos

• MP4
• AVI
• MOV
• MKV

Audio

• MP3
• WAV
• FLAC

Documents

• PDF
• DOC/DOCX
• TXT

Requirements

Core Dependencies

• Python 3.8+
• Pillow
• exifread
• moviepy
• eyed3
• python-magic
• ffmpeg
• pdfplumber
• python-docx
• mutagen
• rich

Visualization Dependencies

• plotly (5.11+) - Interactive charts
• pandas - Data manipulation
• numpy - Numerical operations
• matplotlib - Static visualizations
• seaborn - Statistical graphics

Installation

All dependencies can be installed with:

pip install -r requirements.txt
pip install -r requirements-dashboard.txt

Or use the automated setup:

bash setup.sh

Project Structure

Exif/
├── exif-gui.py              # GUI application (tkinter-based)
├── exif-cli.py              # Command-line interface tool
├── exif-main.py             # Main CLI script
├── exif.py                  # Terminal output version
├── remove-exif.py           # Remove EXIF data from images
├── test_visualizations.py   # Quick test with sample data
├── demo_visualizations.py   # Full demo with your files
├── setup.sh                 # Automated setup script
├── requirements.txt         # Core dependencies
├── requirements-dashboard.txt # Visualization dependencies
├── core/                    # Core modules
│   ├── data_models.py       # Data structures (Pydantic models)
│   ├── metadata_aggregator.py # Batch processing & extraction
│   └── data_storage.py      # SQLite database operations
├── analysis/                # Analysis modules
│   └── statistical_analyzer.py # Statistical analysis
├── visualization/           # Visualization modules
│   └── visualizer.py        # Chart generation (Plotly)
├── exports/                 # Generated visualizations
├── media/                   # Your media files (for processing)
└── data/                    # Database storage

Usage Examples

Extract Metadata from Single File

python exif-cli.py photo.jpg

Process Multiple Files

python demo_visualizations.py

View in GUI

python exif-gui.py

Quick Visualization Test

python test_visualizations.py

Dashboard Screenshots

The visualization dashboard provides a modern, dark-mode interface similar to Power BI:

• All charts visible at once (no scrolling)
• 4x2 grid layout on desktop
• Fully responsive design
• Interactive tooltips and zoom
• Professional dark theme

License

This project is licensed under the MIT License - see the LICENSE file for details.

Credits

Created by AryanVBW

Features

• Extract exif data of images jpg, jpeg, png.
• Clear exif data of images.
• Save data in a text file.
• Modern GUI application for easy metadata extraction.
• Support for multiple file types including images, videos, and audio.

Supported Formats

• Images:
  • PNG, JPG, JPEG, GIF, BMP, TIFF
• Videos :
  • MP4, MKV, AVI, MOV
• Audio :
  • MP3 (limited support, additional library may be required)
• OutputThe script will display metadata information for each file.If the output is set to a file, the results will be saved in exif_data.txt.

Installation and usage instructions:

Command Line Usage

• Add .jpg to subfolder ./images from where the script is stored.
• Note: Most social media sites strip exif data from uploaded photos.

GUI Application Usage

1. Install the required dependencies:

Save metadata to JSON

python exif-cli.py video.mp4 --format json --save metadata.json

Remove EXIF data from image

python remove-exif.py image.jpg

Auto-open GPS in Google Maps

python exif-cli.py photo.jpg --open-maps

Batch process multiple files

python exif-cli.py *.jpg --format json

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📖 Command Reference

Command	Description	Example
--format json	Export metadata in JSON format	python exif-cli.py file.jpg --format json
--save file.json	Save metadata to file	python exif-cli.py file.mp4 --save meta.json
--open-maps	Open GPS location in Google Maps	python exif-cli.py photo.jpg --open-maps
-all=	Remove all metadata from file	python remove-exif.py file.jpg
-overwrite_original	Overwrite files without backup	python exif-cli.py file.jpg -overwrite_original

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🏷️ Metadata Fields Explained

• EXIF (Exchangeable Image File Format) → Camera settings (aperture, shutter speed, ISO, flash, orientation)
• IPTC (International Press Telecommunications Council) → Captions, copyright, creator, keywords
• XMP (Extensible Metadata Platform) → Adobe fields (title, description, author, subject)
• GPS Metadata → Latitude, longitude, altitude, timestamp
• Audio Tags (ID3, Vorbis, etc.) → Artist, album, track number, genre

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🛑 Troubleshooting

Problem	Solution
Permission denied	Run with sudo on Linux/macOS
Backup files clutter folder (_original)	Use -overwrite_original flag
Missing metadata fields	Not all file formats support every tag
Garbled characters in output	Use UTF-8 encoding: exiftool -charset UTF8 file.jpg
GUI not starting	Ensure all dependencies from requirements.txt are installed

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❓ FAQ

Q1: Is Exif safe to use?
✅ Yes, but always back up your files before modifying metadata.

Q2: Does Exif overwrite files?
By default, backups are created. Use -overwrite_original to skip them.

Q3: Is it cross-platform?
Yes, works on Windows, macOS, and Linux.

Q4: Can Exif handle videos and audio files?
Yes, basic metadata extraction is supported for video and audio formats.

Q5: How can I see all available metadata fields in a file?
Run:

python exif-cli.py file.jpg --format json

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📜 License

This project is licensed under the MIT License – see LICENSE.

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👨‍💻 Credits

• Developed by AryanVBW
• Inspired by David Bombal’s Exif script
• Thanks to the open-source community for contributions and testing

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