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.

• 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

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

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

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

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

• 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

• Python 3.8+
• Install dependencies:

pip install -r requirements.txt

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

1. Clone the repository:

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

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

python exif-cli.py photo.jpg

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/

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

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

• JPG/JPEG
• PNG
• GIF
• BMP
• TIFF

• MP4
• AVI
• MOV
• MKV

• MP3
• WAV
• FLAC

• PDF
• DOC/DOCX
• TXT

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

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

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

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 

python exif-cli.py photo.jpg

python demo_visualizations.py

python exif-gui.py

python test_visualizations.py

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

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

Created by AryanVBW

• 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.

• 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.

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

1. Install the required dependencies:

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

python remove-exif.py image.jpg

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

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

• 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

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

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

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