🚀 SnapConvert – A Fast, Lightweight Image Converter for Windows (EXE + Source Code)

Source: Dev.to

If you regularly work with images and need a simple, fast, and offline way to batch‑convert them, SnapConvert is a Windows‑friendly image converter designed for speed, simplicity, and reliability—without bloated dependencies or complex setup. It’s available as:

• A portable Windows EXE (no installation required)
• A full Python source code version for developers who want to customize or extend it

🧠 Why I Built SnapConvert

Many image tools are either:

• Overkill for simple batch conversions
• Locked behind subscriptions
• Not portable or enterprise‑friendly
• Hard to customize for automation

SnapConvert focuses on doing one thing really well.

✨ Key Features

• Batch convert hundreds of images at once
• Supports PNG, JPEG, JPG, BMP, GIF
• Adjustable JPEG quality (10 – 100)
• Optional image resizing (0 = keep original size)
• Drag‑and‑drop support
• Import individual files or full folders
• Maintain original filenames or auto‑rename
• One‑click access to the output folder
• Built‑in conversion history using SQLite
• Double‑click history entries to preview converted images
• Works 100 % offline

🗂 Conversion History (Built‑In)

Every conversion is automatically tracked using a local SQLite database:

• Original filename
• Original file path
• Converted file path

Everything stays local—no internet, no tracking, no cloud.

🏢 Enterprise‑Friendly by Design

SnapConvert works great on locked‑down or corporate machines:

• No installation required
• No admin rights
• No registry changes
• Fully portable – can run from USB or any folder

🖥 Who Is This For?

• Designers working with large image sets
• Content creators
• Small businesses
• Developers who want source‑code access
• Anyone who wants a simple, reliable image converter

📥 Download & More Details

You can get SnapConvert (Windows EXE or full source code) here:
https://gum.new/gum/cmjz96c0w001304jvdjdoaeuc

🛠 Built With

• Python
• Tkinter + ttkbootstrap
• Pillow (PIL)
• SQLite