Forem: Mate Technologies

⚙️ Enterprise Bulk Rename — Ultimate Edition (Python GUI Tool)

Mate Technologies — Mon, 04 May 2026 14:07:00 +0000

Renaming files one by one is painful.
Renaming hundreds (or thousands)? That’s a nightmare.

So I built a powerful, enterprise-grade bulk renaming tool in Python — with preview, undo, conflict resolution, and even force renaming.

👉 Get the full tool here: https://gum.new/gum/cmjzyahd9001n04l4fmdwbz24

🚀 What Makes This Tool Different?

This isn’t just another “rename files” script. It’s designed like a professional desktop utility.

🛠 Key Features
✅ Batch rename thousands of files safely
⚡ Real-time preview before applying changes
🔁 Undo system with batch tracking (SQLite powered)
🧠 Smart conflict resolution (auto-renames duplicates)
💪 Force rename locked/restricted files
🖱 Drag & drop support
📂 Folder + recursive file selection
📊 Progress bar + cancel operation
📁 Export rename history to CSV
🧠 Smart Rename Patterns

The tool supports dynamic placeholders so you can generate powerful naming schemes:

Placeholder Description
{name} Original filename
{ext} File extension
{num} Auto-increment number
{date} Last modified date
{uuid} Random unique ID
💡 Examples
file_{num}{ext}

→ file_001.jpg

file_{num}_{name}{ext}

→ file_001_vacation.jpg

{name}_backup{ext}

→ vacation_backup.jpg

🖼️ How It Works (Workflow)
Select files / folders OR drag & drop
Enter your rename pattern
Preview changes instantly
Fix conflicts automatically
Click Rename
Undo anytime if needed
🔄 Undo System (Game-Changer)

Every rename operation is stored in a SQLite database.

That means:

You can undo entire batches
Track rename history
Export logs to CSV

def undo_batch(batch_id):
    with sqlite3.connect(DB_NAME) as conn:
        rows = conn.execute("""
            SELECT folder, original_name, new_name
            FROM rename_history
            WHERE batch_id=?
            ORDER BY id DESC
        """, (batch_id,)).fetchall()

⚙️ Conflict Resolution Engine

No more “file already exists” errors.

The tool automatically detects duplicates and resolves them:

while (folder, candidate) in seen or os.path.exists(os.path.join(folder, candidate)):
    candidate = f"{base}({i}){ext}"

✔ Example:

file_001.jpg
file_001(1).jpg
file_001(2).jpg
💪 Force Rename Mode

Sometimes files are:

Locked
Read-only
Restricted

Enable Force Rename to override safety checks.

⚠️ A warning indicator highlights risky operations in red.

🧵 Multithreaded Performance

Renaming runs in a background thread, so your UI never freezes:

class RenameWorker(threading.Thread):
    def run(self):
        for i, (folder, old, new) in enumerate(self.rows):
            os.rename(...)

✔ Smooth
✔ Responsive
✔ Cancel anytime

🖥️ Built With
🐍 Python
🎨 Tkinter + ttkbootstrap
🗂 SQLite
🧵 Threading
🎯 Why I Built This

I needed a tool that could:

Handle large batches
Avoid naming conflicts
Provide undo safety
Feel like a real desktop app

So I built one — and made it better than most free tools out there.

📦 Get the Tool

If you want the full working version:

👉 https://gum.new/gum/cmjzyahd9001n04l4fmdwbz24

💡 Final Thoughts

If you’re dealing with:

Media files
Data exports
Project assets
Backups

This tool can save you hours of manual work.

📋 Build a Powerful Clipboard Manager in Python (With GUI, History, Search & Tray Support)

Mate Technologies — Sat, 02 May 2026 14:03:00 +0000

If you’ve ever copied something important… and then lost it after copying something else — you know the pain.

So I built a full-featured Clipboard Manager using Python that tracks, stores, and lets you manage everything you copy — with a modern UI and powerful features.

👉 Get the full project here:
https://gum.new/gum/cmjzhtctz000404l8a0v5fyvo

🚀 What This App Can Do

This isn’t just a basic clipboard tracker — it’s a productivity tool:

📋 Automatically saves clipboard history
🔍 Real-time search & highlighting
🧠 Smart multi-line preview
🖱 Right-click context actions (copy, save, delete)
📦 Export / Import clipboard data (JSON)
⚙ Adjustable history size limit
🖥 System tray integration
⌨ Global hotkey: Ctrl + Shift + V
🔄 Drag & reorder clipboard items
👀 Full preview popup for long content
🧱 Tech Stack

Built using:

ttkbootstrap → modern UI styling
tkinter → GUI foundation
sqlite3 → persistent storage
pyperclip → clipboard access
keyboard → global hotkeys
pystray → system tray integration
threading → background clipboard monitoring
🧠 How It Works

Clipboard Monitoring (Background Thread)

The app continuously checks your clipboard:

def poll_clipboard(self):
    while self.running:
        try:
            text = pyperclip.paste()
        except Exception:
            text = ""
        if text and text != self.last_text:
            self.last_text = text
            self.save_item(text)
        time.sleep(POLL_INTERVAL)

This ensures:

No duplicates
Real-time capture
Smooth performance

Persistent Storage with SQLite

Every clipboard entry is saved locally:

CREATE TABLE clipboard (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    content TEXT UNIQUE,
    timestamp REAL
)

Why SQLite?

Lightweight
Fast
No external dependencies

Smart Preview System

Instead of flooding the UI with long text:

lines = content.splitlines()
display = "\n".join(lines[:3])
if len(lines) > 3:
    display += " …"

✔ Clean
✔ Readable
✔ Efficient

Search + Highlight

The search bar filters instantly:

if query and query in content.lower():
    self.tree.item(iid, tags=("highlight",))

With visual highlighting for matched results.

Drag-to-Reorder History

Reorganize your clipboard manually:

def drop(self, event):
    items = self.tree.get_children()
    now = time.time()
    for i, item in enumerate(items):
        cursor.execute("UPDATE clipboard SET timestamp=? WHERE id=?", (now - i, item))

This reassigns timestamps to reflect the new order.

System Tray + Hotkey

Run the app silently in the background:

keyboard.add_hotkey("ctrl+shift+v", self.toggle_window)

Tray menu includes:

Show / Hide
Quit

Export / Import Clipboard Data

Save your history:

json.dump(data, f)

Or restore it later:

data = json.load(f)
for text in data:
    self.save_item(text)

Perfect for:

Backups
Migration
Sharing snippets
🎯 Why This Project Matters

This project demonstrates how to:

Build a real-world desktop tool
Combine UI + background processing
Use local databases effectively
Implement system-level integrations

It’s a great example of turning Python into a daily productivity app.

🖥 UI Highlights
Dark themed interface (via ttkbootstrap)
Scrollable history list
Context menus
Popup previews
Settings dialog
⚙️ Customization Ideas

Want to extend it further?

🔐 Add encryption for sensitive clips
☁ Cloud sync (Firebase / API)
🏷 Tagging system
🧩 Plugin support
📸 Image clipboard support
🏁 Final Thoughts

This Clipboard Manager is something you’ll actually use daily — and it shows how powerful Python can be beyond scripts.

If you want the full working project with all features ready, grab it here:

👉 https://gum.new/gum/cmjzhtctz000404l8a0v5fyvo

🚀 PDFTextor — Extract Text from PDFs with a Modern Python GUI

Mate Technologies — Thu, 30 Apr 2026 13:59:00 +0000

Working with PDFs can be frustrating—especially when you just need the text quickly.

That’s why I built PDFTextor, a simple yet powerful desktop tool that lets you extract text from one or multiple PDF files with ease.

👉 Get it here: https://gum.new/gum/cmk3n0dst002504ky9ulpdf2u

✨ What is PDFTextor?

PDFTextor is a Python-based desktop application that allows you to:

Extract text from single or multiple PDF files
Handle large documents smoothly
Track progress in real time
Cancel extraction anytime
Save extracted text instantly

It’s lightweight, fast, and designed with a clean modern UI.

🔥 Key Features
📂 Multi-PDF Extraction

Select multiple PDF files and extract all text in one go.

⚡ Real-Time Progress Tracking

A progress bar shows exactly how far the extraction has gone.

❌ Cancel Anytime

Stop long operations instantly with a cancel button.

💾 Save Extracted Text

Export results to a .txt file with one click.

🧹 Clean & Reset

Clear the workspace instantly for a new session.

🎨 Modern UI

Built with ttkbootstrap for a sleek, professional look.

🧠 How It Works

PDFTextor uses:

PyPDF2 to read and extract text from PDF pages
Threading to keep the UI responsive
Tkinter + ttkbootstrap for the interface

The extraction runs in a background thread, so your app never freezes—even with large PDFs.

🖥️ Code Overview

Here’s the core structure of the app:

class PDFTextExtractor:
    def __init__(self, root):
        self.root = root
        self.root.title("PDFTextor - PDF Text Extractor")

📌 Extraction Logic

The heavy lifting happens in a worker thread:

def _extract_text_worker(self, file_paths):
    for file_path in file_paths:
        reader = PdfReader(file_path)
        for page in reader.pages:
            text += page.extract_text() or ""

📊 Progress Updates

def _update_progress(self, value):
    self.progress["value"] = value
    self.progress_label.config(text=f"Extracting... {int(value)}%")

❌ Cancel Support

if self.cancel_event.is_set():
    return

This ensures users can safely stop long-running tasks.

🧩 UI Highlights
Buttons for extract, save, clear, cancel
Scrollable text output area
Progress bar with status updates
Built-in About/Guide window

Everything is designed for simplicity and usability.

📦 Tech Stack
Python
Tkinter
ttkbootstrap
PyPDF2
Multithreading
💡 Why I Built This

Many PDF tools are either:

Too heavy
Too expensive
Or lack batch processing

PDFTextor solves all three problems with a clean, efficient solution.

🚀 Getting Started
Download the app
👉 https://gum.new/gum/cmk3n0dst002504ky9ulpdf2u
Run the application
Click "Extract PDF Text"
Select your PDF files
Sit back and let PDFTextor do the work
🛠️ Future Improvements
OCR support for scanned PDFs
Export to JSON / CSV
Drag & drop support
Dark mode toggle
👨‍💻 Developer

Built by MateTools
🌐 https://matetools.gumroad.com

⭐ Final Thoughts

If you regularly work with PDFs, PDFTextor can save you a ton of time.

Simple. Fast. Reliable.

Give it a try and let me know what you think!

👉 https://gum.new/gum/cmk3n0dst002504ky9ulpdf2u

🔐 FileCryptor – Secure File & Folder Encryption Tool (Python + GUI)

Mate Technologies — Tue, 28 Apr 2026 13:55:00 +0000

If you’ve ever needed a simple, secure way to encrypt files and folders, this project might be exactly what you’re looking for.

Introducing FileCryptor — a modern Python desktop app that lets you encrypt and decrypt files with strong password-based security, all wrapped in a clean GUI.

👉 Get it here: https://gum.new/gum/cmkncobmj001h04jr8ecl39l9

🚀 What is FileCryptor?

FileCryptor is a desktop encryption tool built with:

🐍 Python
🖼 Tkinter + ttkbootstrap UI
🔐 cryptography library (Fernet + PBKDF2HMAC)

It allows you to:

Encrypt files & folders recursively
Decrypt them safely with the same password
Use drag & drop for fast workflows
Monitor progress in real time
🔑 Why This Tool Matters

Security tools are often:

Too complex ❌
Too technical ❌
Or just ugly ❌

FileCryptor focuses on:

✔ Simplicity
✔ Strong encryption
✔ Clean UI
✔ Real usability

🔐 How Encryption Works

This tool uses industry-standard cryptography:

Password-Based Key Derivation Uses PBKDF2HMAC (SHA-256) 390,000 iterations Adds strong resistance against brute-force attacks
Random Salt Per File Each file gets a unique 16-byte salt Prevents identical files from producing identical outputs
Secure Encryption Uses Fernet (AES-based encryption) Ensures confidentiality + integrity ✨ Key Features 📁 Encrypt Entire Folders Recursively processes all files No need to manually select each file 🖱 Drag & Drop Support Just drop files/folders into the app Instant queueing 🔐 Password Protection Password confirmation dialog Strength indicator: Weak Medium Strong ⏱ Real-Time Progress Progress bar + logs Smooth UI thanks to threading ❌ Cancel Anytime Stop long operations safely 🧹 Clean Logs Built-in log viewer Clear logs with one click 💡 Example Workflow Drag a folder into FileCryptor Click Encrypt Files/Folders Enter a strong password Files are encrypted with .enc extension

Later:

Select encrypted files
Click Decrypt
Enter the same password
Files are restored 🎉
🧠 Smart Design Choices
🔄 Multithreading

Keeps the UI responsive during long operations.

🔍 Recursive File Handling

Automatically processes nested directories.

🛑 Safe Decryption
Skips invalid files
Prevents crashes on corrupted data
📦 Supported Files

Short answer: everything.

You can encrypt:

📄 Documents (PDF, DOCX, TXT)
🖼 Images (PNG, JPG)
🎵 Media (MP3, MP4)
💻 Code (PY, JSON, CSV)

If it’s a file → it works.

🛠 Tech Stack
Python 3
Tkinter
ttkbootstrap
cryptography
tkinterdnd2
🔥 Code Highlights
Secure Key Derivation

def derive_key(password: str, salt: bytes) -> bytes:
    kdf = PBKDF2HMAC(
        algorithm=hashes.SHA256(),
        length=32,
        salt=salt,
        iterations=390_000,
        backend=default_backend()
    )
    return base64.urlsafe_b64encode(kdf.derive(password.encode()))

Encryption Flow

salt = os.urandom(16)
key = derive_key(password, salt)
fernet = Fernet(key)
encrypted_data = fernet.encrypt(data)

Decryption Flow

salt = data[:16]
encrypted_data = data[16:]
key = derive_key(password, salt)
fernet = Fernet(key)
decrypted_data = fernet.decrypt(encrypted_data)

⚠️ Important Notes
🔑 If you lose your password → your data is gone
There is no recovery mechanism (by design, for security)
📥 Get FileCryptor

👉 Download here:
https://gum.new/gum/cmkncobmj001h04jr8ecl39l9

💬 Final Thoughts

FileCryptor is a great example of how you can combine:

Security 🔐
Usability 🧑‍💻
Clean UI 🎨

…into a practical tool people can actually use.

If you're building Python desktop apps, this project is also a solid reference for:

Tkinter architecture
Threading patterns
Real-world cryptography usage

🚀 KeySage – Keyword Suggester Pro (Google Autocomplete Scraper in Python)

Mate Technologies — Sun, 26 Apr 2026 13:32:00 +0000

If you're into SEO, content creation, or digital marketing, you already know one thing:

👉 Keywords are everything.

But finding high-quality, long-tail keywords manually? That’s slow and painful.

So I built KeySage – Keyword Suggester Pro — a fast, clean, and powerful desktop tool that pulls keyword ideas directly from Google Autocomplete.

🔗 Get KeySage Here

👉 https://gum.new/gum/cmk5ca5og002f04lbfga113vy

💡 What is KeySage?

KeySage is a lightweight Python desktop app that generates hundreds (or thousands) of keyword ideas using:

Google Suggest API
Smart expansion logic (A–Z, 0–9)
Phrase manipulation (prepend/append)
Real-time scraping UI

No login. No API keys. No fluff.

⚡ Core Features
🔍 1. Google Autocomplete Scraping

Pulls real-time keyword suggestions directly from Google’s suggestion engine.

def fetch_suggestions(query):
    params = {"client": "firefox", "q": query, "hl": language.get(), "gl": country.get()}
    r = requests.get(GOOGLE_SUGGEST_URL, params=params, headers=HEADERS, timeout=10)
    return r.json()[1]

🔤 2. A–Z Keyword Expansion

Automatically expands your base keyword:

keyword a
keyword b
...
keyword z
optionally 0–9

chars = list(string.ascii_lowercase)
if mode.get() == "A-Z + 0-9":
    chars += list(string.digits)

🧠 3. Phrase Modes (Smart Variations)

Generate smarter keyword combinations:

Exact → keyword a
Prepend → best keyword
Append → keyword tool

if phrase_mode.get() == "Prepend":
    query_list = [f"{w} {base}" for w in words]
elif phrase_mode.get() == "Append":
    query_list = [f"{base} {w}" for w in words]

🌍 4. Language & Country Targeting

Target keywords by region:

Language: en, fr, de, etc.
Country: US, UK, IN, etc.

Perfect for localized SEO research.

🔐 5. Proxy Support

Avoid rate limits or blocks by using a proxy:

def get_proxies():
    proxy_text = proxy_entry.get().strip()
    if proxy_text:
        return {"http": f"http://{proxy_text}", "https": f"http://{proxy_text}"}

📊 6. Keyword Clustering

Automatically groups keywords by root word:

def cluster_keywords():
    for k in results:
        root = k.split()[0].lower()
        clusters[root].append(k)

Example output:

[seo] seo tools, seo tips, seo checklist...
[python] python tutorial, python gui, python scraping...
📁 7. Export Options

Export your keyword data in:

✅ TXT (clustered)
✅ CSV (structured)
✅ JSON (developer-friendly)
⚙️ 8. Multithreaded Scraping

The UI stays responsive while scraping runs in the background:

threading.Thread(
    target=run_scraper,
    args=(base_keywords,),
    daemon=True
).start()

🖥️ User Interface Highlights
Clean UI powered by ttkbootstrap
Live keyword feed
Start / Stop controls
Advanced settings toggle
Built-in help guide
🧩 How It Works
Enter base keywords
Choose expansion mode (A–Z / A–Z + 0–9)
(Optional) Add prepend/append words
Hit Start Scraping
Watch live keyword results
Export when done
🛑 Smart Safeguards
Prevents export if scraping is incomplete
Allows safe stopping mid-process
Handles request errors gracefully
🧱 Tech Stack
Python
Tkinter + ttkbootstrap
Requests
Multithreading
🎯 Who Is This For?
SEO specialists
Bloggers & niche site builders
YouTubers
Affiliate marketers
Indie hackers
🚀 Final Thoughts

KeySage is built for speed, simplicity, and power.

Instead of paying monthly for keyword tools, you can:

✔ Generate unlimited ideas
✔ Customize queries
✔ Export structured data
✔ Stay fully offline (except scraping)

🔥 Download Now

👉 https://gum.new/gum/cmk5ca5og002f04lbfga113vy

Build a Beginner-Friendly Audio Splitter in Python 🎵

Mate Technologies — Sat, 25 Apr 2026 05:17:00 +0000

In this tutorial, we’ll create a simple desktop app to split audio files into smaller clips using Python. We’ll use Tkinter for the GUI and pydub for audio processing. By the end, you’ll have a fully functional audio splitter with progress updates and live logs.

You can see the full project here: AudioSplitter GitHub

1️⃣ Setup: Install Dependencies

First, make sure you have Python installed. Then, install the required libraries:

pip install pydub ttkbootstrap

Note: You also need FFmpeg installed. Download it from ffmpeg.org
and remember the path, e.g., C:\ffmpeg\bin.

2️⃣ Configure FFmpeg in Python

pydub needs FFmpeg to process audio. We also want to run it silently without opening extra windows.

import os
from pydub import AudioSegment
import subprocess

FFMPEG_DIR = r"C:\ffmpeg\bin"  # Update your FFmpeg path
os.environ["PATH"] = FFMPEG_DIR + os.pathsep + os.environ.get("PATH", "")

# Prevent command window popup on Windows
_original_popen = subprocess.Popen
def silent_popen(*args, **kwargs):
    kwargs["creationflags"] = subprocess.CREATE_NO_WINDOW
    return _original_popen(*args, **kwargs)
subprocess.Popen = silent_popen

AudioSegment.converter = os.path.join(FFMPEG_DIR, "ffmpeg.exe")
AudioSegment.ffprobe = os.path.join(FFMPEG_DIR, "ffprobe.exe")

✅ This ensures FFmpeg works silently in the background.

3️⃣ Import GUI & Helper Libraries

We will use Tkinter for the GUI and ttkbootstrap for styling. We also need threading for smooth UI updates.

import tkinter as tk
from tkinter import filedialog, messagebox
import ttkbootstrap as tb
from ttkbootstrap.widgets.scrolled import ScrolledText
import threading, math

4️⃣ Define App Metadata

It's good to have app information for "About" dialogs and branding.

APP_NAME = "Audio Splitter"
APP_VERSION = "1.1.0"
APP_AUTHOR = "MateTools"
APP_WEBSITE = "https://matetools.gumroad.com"

5️⃣ Setup Tkinter App

Create the main window and apply a theme from ttkbootstrap:

app = tk.Tk()
style = tb.Style(theme="superhero")

app.title(f"{APP_NAME} {APP_VERSION}")
app.geometry("950x600")

Optionally, set an icon:

try:
    app.iconbitmap("logo.ico")  # replace with your icon
except:
    pass

6️⃣ Helper Functions: UI & Logging

To safely update UI elements from threads, define a helper:

stop_event = threading.Event()

def ui(func, *args, **kwargs):
    app.after(0, lambda: func(*args, **kwargs))

def log_line(text):
    def _log():
        log.text.config(state="normal")
        log.text.insert("end", text + "\n")
        log.text.see("end")
        log.text.config(state="disabled")
    ui(_log)

7️⃣ Menus: Help & About

Add menus to show the user guide and about info:

def show_about():
    messagebox.showinfo(
        f"About {APP_NAME}",
        f"{APP_NAME} v{APP_VERSION}\n🔊 Split audio files fast!\n🌐 {APP_WEBSITE}"
    )

def show_help():
    messagebox.showinfo(
        f"{APP_NAME} - User Guide",
        "1️⃣ Select audio file\n2️⃣ Choose output folder\n3️⃣ Configure settings\n4️⃣ Start splitting"
    )

menubar = tb.Menu(app)
file_menu = tb.Menu(menubar, tearoff=0)
file_menu.add_command(label="Exit", command=app.quit)

help_menu = tb.Menu(menubar, tearoff=0)
help_menu.add_command(label="User Guide", command=show_help)
help_menu.add_command(label="About", command=show_about)

menubar.add_cascade(label="File", menu=file_menu)
menubar.add_cascade(label="Help", menu=help_menu)
app.config(menu=menubar)

8️⃣ GUI Layout: Input & Output

Create sections to select audio files and output folder, with options for prefix and clip length.

# Audio Input
audio_path = tk.StringVar()
input_card = tb.Labelframe(app, text="Audio Input", padding=15)
input_card.pack(fill="x", padx=10, pady=10)

tb.Entry(input_card, textvariable=audio_path).pack(side="left", fill="x", expand=True, padx=5)
tb.Button(input_card, text="Browse", bootstyle="info",
          command=lambda: audio_path.set(filedialog.askopenfilename(filetypes=[("Audio", "*.mp3 *.wav *.flac *.ogg")]))
         ).pack(side="left", padx=5)

# Output Settings
output_dir = tk.StringVar()
file_prefix = tk.StringVar(value="audio")
clip_length = tk.IntVar(value=10)

output_card = tb.Labelframe(app, text="Output Settings", padding=15)
output_card.pack(fill="x", padx=10, pady=10)

tb.Entry(output_card, textvariable=output_dir).pack(side="left", fill="x", expand=True, padx=5)
tb.Button(output_card, text="Browse", bootstyle="info",
          command=lambda: output_dir.set(filedialog.askdirectory())
         ).pack(side="left", padx=5)
tb.Label(output_card, text="Prefix:").pack(side="left", padx=5)
tb.Entry(output_card, textvariable=file_prefix, width=15).pack(side="left")
tb.Label(output_card, text="Seconds:").pack(side="left", padx=5)
tb.Entry(output_card, textvariable=clip_length, width=5).pack(side="left")

9️⃣ Preview: Show Clips & Duration

Automatically calculate how many clips will be created:

preview_label = tb.Label(output_card, text="Total: --s | Clips: --")
preview_label.pack(side="left", padx=10)

def update_preview(*args):
    try:
        audio = AudioSegment.from_file(audio_path.get())
        duration = len(audio) / 1000
        clips = math.ceil(duration / clip_length.get())
        preview_label.config(text=f"Total: {duration:.2f}s | Clips: {clips}")
    except:
        preview_label.config(text="Total: --s | Clips: --")

clip_length.trace_add("write", lambda *args: update_preview())
audio_path.trace_add("write", lambda *args: update_preview())

🔟 Log & Progress

Show live output and progress bar:

log_card = tb.Labelframe(app, text="Live Output", padding=15)
log_card.pack(fill="both", expand=True, padx=10, pady=10)

log = ScrolledText(log_card, height=10)
log.pack(fill="both", expand=True)
log.text.config(state="disabled")

progress = tb.Progressbar(app, maximum=100)
progress.pack(fill="x", padx=10, pady=5)

1️⃣1️⃣ Split Audio Function

The main function splits audio into clips and updates logs/progress:

def split_audio():
    if not audio_path.get() or not output_dir.get():
        messagebox.showerror("Error", "Select input and output")
        return

    stop_event.clear()
    ui(progress.configure, value=0)

    audio = AudioSegment.from_file(audio_path.get())
    total_ms = len(audio)
    step_ms = clip_length.get() * 1000
    total_clips = math.ceil(total_ms / step_ms)
    count = 0

    for i in range(0, total_ms, step_ms):
        if stop_event.is_set():
            log_line("⏹ Stopped by user")
            break

        chunk = audio[i:i+step_ms]
        filename = f"{file_prefix.get()}_{count:03d}.mp3"
        out_path = os.path.join(output_dir.get(), filename)
        chunk.export(out_path, format="mp3")

        count += 1
        progress_value = min((i + step_ms) / total_ms * 100, 100)
        ui(progress.configure, value=progress_value)

        log_line(f"Saved: {filename}")

    ui(progress.configure, value=100)
    messagebox.showinfo("Done", f"Created {count} clips")

1️⃣2️⃣ Start/Stop Buttons

Run the splitter in a separate thread to keep the GUI responsive:

bar = tb.Frame(app)
bar.pack(fill="x", padx=10, pady=5)

tb.Button(bar, text="Start", bootstyle="success",
          command=lambda: threading.Thread(target=split_audio, daemon=True).start()
         ).pack(side="left", padx=5)

tb.Button(bar, text="Stop", bootstyle="danger",
          command=lambda: stop_event.set()
         ).pack(side="left", padx=5)

1️⃣3️⃣ Run the App

Finally, start the Tkinter main loop:

app.mainloop()

✅ Congratulations! You now have a fully functional audio splitter with GUI, live logs, progress, and flexible output options.

🚀 VID2IMG Pro — Extract & Anonymize Video Frames Like a Pro

Mate Technologies — Fri, 24 Apr 2026 13:28:00 +0000

If you’ve ever needed to turn a video into high-quality images — whether for AI datasets, photogrammetry, or privacy-safe content — you know it’s not as simple as hitting “export frames.”

That’s exactly why I built VID2IMG Pro.

👉 Get it here: https://gum.new/gum/cmk5ut3j8000i04l1fdp098nh

🎯 What is VID2IMG Pro?

VID2IMG Pro is a powerful desktop application that lets you:

Extract frames from videos at custom intervals
Automatically anonymize faces and license plates
Generate clean datasets for AI or 3D reconstruction
Process 360° videos safely
Export optimized image sequences

All wrapped in a modern UI powered by ttkbootstrap.

🔥 Key Features
🎬 Smart Frame Extraction
Supports MP4, AVI, MOV
Custom frame intervals (e.g., every 10 frames)
Batch-ready workflow
🔒 Built-in Anonymization
Face detection + blur
License plate pixelation
Privacy-ready outputs for public datasets
🌍 360° Video Support
Handles equirectangular formats
Prevents distortion artifacts during processing
🧠 Photogrammetry Mode

Perfect for tools like:

Meshroom
RealityCapture
Metashape

Includes:

Lossless PNG output
Sequential naming
Consistent resolution
📊 Live Feedback UI
Real-time logging
Progress bar tracking
Thread-safe UI updates
🧩 Tech Stack

Here’s what powers VID2IMG Pro:

import tkinter as tk
import ttkbootstrap as tb
import cv2
import numpy as np
import threading
Tkinter + ttkbootstrap → Modern GUI
OpenCV → Video processing & detection
Multithreading → Smooth, non-blocking UI
⚙️ How It Works

Load a Video cap = cv2.VideoCapture(video_path.get())
Loop Through Frames ret, frame = cap.read()
Apply Anonymization (Optional) faces = face_cascade.detectMultiScale(gray, 1.2, 5) frame[y:y+h, x:x+w] = cv2.GaussianBlur(roi, (51, 51), 0)
Save Frames cv2.imwrite(path, frame)
Update UI Safely app.after(0, lambda: func(*args)) 💡 Real-World Use Cases 🤖 AI Dataset Creation

Extract labeled frames while anonymizing sensitive data.

🚁 Drone Footage Processing

Convert aerial video into usable still frames.

🏙️ Privacy-Compliant Recording

Blur faces and plates automatically for legal compliance.

🧱 3D Reconstruction

Generate perfect input for photogrammetry pipelines.

🖥️ UI Highlights
Clean two-panel layout
Live scrolling logs
Progress tracking
Built-in help guide
Start/Stop control with threading safety
🧠 Developer Notes

A few important design decisions:

Thread-safe UI updates using:
app.after(0, ...)
Graceful stop handling with:
stop_event = threading.Event()
Resource packaging support:
getattr(sys, '_MEIPASS', ...)

This makes it fully compatible with PyInstaller builds.

📦 Why This Tool Matters

Most frame extractors:

❌ Ignore privacy
❌ Lack automation
❌ Break on large workloads

VID2IMG Pro fixes that by combining:

Performance
Privacy
Professional workflow features
🚀 Try It Out

👉 Download VID2IMG Pro:
https://gum.new/gum/cmk5ut3j8000i04l1fdp098nh

💬 Final Thoughts

This project was built with real-world workflows in mind — not just as a utility, but as a production-ready tool.

If you’re working with:

AI
Video processing
Computer vision
3D reconstruction

…this will save you hours.

Step-by-Step Guide: Build Audio Extended – Extend Audio Seamlessly

Mate Technologies — Thu, 23 Apr 2026 04:37:00 +0000

In this tutorial, we’ll build Audio Extended, a Python desktop application to extend audio files from minutes to hours with seamless looping and optional fade-in/out.

GitHub Source: https://github.com/rogers-cyber/AudioExtended

1️⃣ Setup Python Environment

Make sure you have Python 3.10+ installed. Then install the required libraries:

pip install pydub ttkbootstrap

You also need FFmpeg installed. Download it from https://ffmpeg.org/download.html
and note the bin folder path (e.g., C:\ffmpeg\bin).

2️⃣ Import Libraries and Setup FFmpeg

We need Python libraries for audio processing and GUI:

import sys
import os
from pathlib import Path
from pydub import AudioSegment
import subprocess
import tkinter as tk
from tkinter import filedialog, messagebox
import ttkbootstrap as tb
from ttkbootstrap.widgets.scrolled import ScrolledText
import threading
import math
import datetime

Then configure FFmpeg:

FFMPEG_DIR = r"C:\ffmpeg\bin"  # Update with your FFmpeg path
os.environ["PATH"] = FFMPEG_DIR + os.pathsep + os.environ.get("PATH", "")

AudioSegment.converter = os.path.join(FFMPEG_DIR, "ffmpeg.exe")
AudioSegment.ffprobe = os.path.join(FFMPEG_DIR, "ffprobe.exe")

3️⃣ Silence Console Windows for Subprocess

Windows often pops up extra console windows when using FFmpeg. We can prevent this:

_original_popen = subprocess.Popen

def silent_popen(*args, **kwargs):
    kwargs["creationflags"] = subprocess.CREATE_NO_WINDOW
    return _original_popen(*args, **kwargs)

subprocess.Popen = silent_popen
4️⃣ Initialize Tkinter App

Set up the main GUI window:

app = tk.Tk()
style = tb.Style(theme="superhero")
app.title("Audio Extended v1.1.0")
app.geometry("950x600")

stop_event = threading.Event() # For safely stopping audio extension
5️⃣ Helpers and Logging

We’ll create small helper functions for UI updates and logging:

def ui(func, *args, **kwargs):
    app.after(0, lambda: func(*args, **kwargs))

def log_line(text):
    def _log():
        log.text.config(state="normal")
        log.text.insert("end", text + "\n")
        log.text.see("end")
        log.text.config(state="disabled")
    ui(_log)

6️⃣ Menu Bar with About & Help

Add File and Help menus:

menubar = tb.Menu(app)
file_menu = tb.Menu(menubar, tearoff=0)
file_menu.add_command(label="Exit", command=app.quit)

help_menu = tb.Menu(menubar, tearoff=0)
help_menu.add_command(label="User Guide", command=show_help)
help_menu.add_command(label="About", command=show_about)

menubar.add_cascade(label="File", menu=file_menu)
menubar.add_cascade(label="Help", menu=help_menu)
app.config(menu=menubar)

You can define show_about() and show_help() to display info dialogs with instructions.

7️⃣ Input and Output Panels

Create GUI elements to select audio input and output folder:

audio_path = tk.StringVar()
output_dir = tk.StringVar()
file_prefix = tk.StringVar(value="extended")

input_card = tb.Labelframe(app, text="Audio Input", padding=15)
input_card.pack(fill="x", padx=10, pady=10)
tb.Entry(input_card, textvariable=audio_path).pack(side="left", fill="x", expand=True, padx=5)
tb.Button(input_card, text="Browse", bootstyle="info",
          command=lambda: audio_path.set(filedialog.askopenfilename(filetypes=[("Audio","*.mp3 *.wav *.flac *.ogg")]))).pack(side="left", padx=5)

Similarly, create an output folder selection:

output_card = tb.Labelframe(app, text="Output Settings", padding=15)
output_card.pack(fill="x", padx=10, pady=10)
tb.Entry(output_card, textvariable=output_dir).pack(side="left", fill="x", expand=True, padx=5)
tb.Button(output_card, text="Browse", bootstyle="info", command=lambda: output_dir.set(filedialog.askdirectory())).pack(side="left", padx=5)

8️⃣ Duration Presets and Fade

Add preset durations and fade settings:

dur_presets = {"10 minutes": 10*60, "30 minutes": 30*60, "1 hour": 60*60, "2 hours": 2*60*60, "12 hours": 12*60*60}
target_option = tk.StringVar(value="Select Duration")
target_duration = tk.IntVar(value=0)

fade_var = tk.IntVar(value=3)  # default fade seconds

9️⃣ Preview Audio Duration

Show original audio length and target duration:

preview_label = tb.Label(output_card, text="Audio Duration: -- | Target: --")
preview_label.pack(side="left", padx=10)

def update_preview(*args):
    try:
        audio = AudioSegment.from_file(audio_path.get())
        duration = len(audio)/1000
        preview_label.config(text=f"Audio: {format_time(duration)} | Target: {format_time(target_duration.get())}")
    except:
        preview_label.config(text="Audio Duration: -- | Target: --")

audio_path.trace_add("write", lambda *args: update_preview())
target_duration.trace_add("write", lambda *args: update_preview())

🔟 Extend Audio Function

The main function loops and applies fade to extend audio:

def extend_audio():
    if not audio_path.get() or not output_dir.get():
        messagebox.showerror("Error", "Select input and output")
        return
    audio = AudioSegment.from_file(audio_path.get())
    target_ms = target_duration.get() * 1000
    fade_ms = fade_var.get() * 1000
    orig_len = len(audio)

    if fade_ms * 2 < orig_len:
        audio = audio.fade_in(fade_ms).fade_out(fade_ms)

    extended_audio = AudioSegment.empty()
    current_ms = 0
    chunk_ms = 1000

    while current_ms < target_ms:
        if stop_event.is_set():
            log_line("⏹ Stopped by user")
            break
        start = current_ms % orig_len
        end = min(start + chunk_ms, orig_len)
        extended_audio += audio[start:end]
        current_ms += (end - start)
        ui(progress.configure, value=min(current_ms / target_ms * 100, 100))

    extended_audio = extended_audio[:target_ms]
    timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
    out_file = os.path.join(output_dir.get(), f"{file_prefix.get()}_{timestamp}.mp3")
    extended_audio.export(out_file, format="mp3")
    log_line(f"Saved extended audio: {out_file}")

11️⃣ Add Start/Stop Buttons

bar = tb.Frame(app)
bar.pack(fill="x", padx=10, pady=5)
tb.Button(bar, text="Start", bootstyle="success", command=lambda: threading.Thread(target=extend_audio, daemon=True).start()).pack(side="left", padx=5)
tb.Button(bar, text="Stop", bootstyle="danger", command=lambda: stop_event.set()).pack(side="left", padx=5)

12️⃣ Run the App

Finally, start the Tkinter main loop:

app.mainloop()

✅ You’re Done!

You now have a fully working Audio Extended application that can extend audio seamlessly with fade-in/out and live progress updates.

For full source code and prebuilt EXE: https://github.com/rogers-cyber/AudioExtended

🚀 PBR Texture Generator Pro — Build Production-Ready Materials in Seconds

Mate Technologies — Wed, 22 Apr 2026 13:25:00 +0000

If you’ve ever needed to turn a simple image into a full PBR texture set (BaseColor, Normal, Roughness, AO, etc.), you know how time-consuming it can be.

So I built something to fix that.

👉 Get it here: https://gum.new/gum/cmk79c11p001u04jvfyqz3jbu

🎯 What is PBR Texture Generator Pro?

PBR Texture Generator Pro — Blending Visuals is a desktop tool designed for:

🎮 Game developers (Unity / Unreal)
🎨 3D artists (Blender, Maya, Houdini)
🧱 Environment & material designers

It converts a single image into a complete physically based rendering (PBR) texture set — automatically.

⚡ Key Features
🧠 Smart Map Generation

From one input image, the tool generates:

Base Color
Normal Map (via Sobel gradients)
Height / Displacement
Roughness
Metallic
Ambient Occlusion
⚙️ Real-Time Material Controls

Fine-tune your textures with intuitive sliders:

Height Strength → Controls displacement intensity
Normal Strength → Boosts surface detail
Roughness Contrast → Adjusts material sharpness
AO Strength → Deepens shadows
Metallic Threshold → Defines metal vs non-metal
📂 Batch Processing Mode

Process entire folders effortlessly:

Select a directory
Generate full PBR sets for each image
Errors won’t interrupt the batch
🔁 Seamless Texture Tiling

Create tileable textures for games and environments:

Uses mirrored borders
Eliminates visible seams
Perfect for repeating surfaces
🧪 Multiple Output Formats

Choose the format that fits your pipeline:

8-bit PNG → Fast previews
16-bit PNG → High-quality maps
EXR (OpenEXR) → HDR, linear workflow
⚡ GPU Acceleration (Auto-Detect)

The app detects CUDA support automatically:

USE_CUDA = cv2.cuda.getCudaEnabledDeviceCount() > 0
GPU available → Faster processing
No GPU → Safe CPU fallback
🖥️ Built With

This project combines a powerful stack:

Tkinter + ttkbootstrap → Modern desktop UI
OpenCV → Image processing engine
NumPy → Fast numerical operations
OpenEXR → High-dynamic-range output
🧩 How It Works (Under the Hood)
🏔️ Height Map
height = cv2.normalize(gray * height_strength.get(), None, 0, 65535, cv2.NORM_MINMAX)
🌊 Normal Map (Sobel Filter)
sobelx = cv2.Sobel(gray, cv2.CV_32F, 1, 0)
sobely = cv2.Sobel(gray, cv2.CV_32F, 0, 1)
🌑 Ambient Occlusion
ao = cv2.GaussianBlur(255 - gray, (21, 21), 0)
🪨 Roughness
rough = cv2.equalizeHist(gray)
🧲 Metallic Map
_, metal = cv2.threshold(gray, metal_threshold.get(), 255, cv2.THRESH_BINARY)
🧵 Clean UI + Threaded Processing

No freezing, no lag.

The generator runs in a separate thread, keeping the UI responsive:

threading.Thread(target=start, daemon=True).start()

Includes:

✅ Live progress bar
✅ Scrollable logs
✅ Cancel anytime
🧰 Real-World Use Cases
Game-ready materials (Unreal / Unity)
Blender rendering pipelines
Texture libraries
Procedural prototyping
Environment art
📦 Why This Tool?

Most tools either:

Require node setups (slow)
Are expensive
Or overcomplicated

This one is:

⚡ Fast
🧠 Smart
🖥️ Offline
🎯 Focused
🚀 Final Thoughts

If you're working with materials, textures, or 3D pipelines, this tool can save you hours of manual work.

👉 Try it here: https://gum.new/gum/cmk79c11p001u04jvfyqz3jbu

Stop Using Slow Online SVG Converters — I Built a Faster Offline Tool Instead

Mate Technologies — Tue, 21 Apr 2026 14:09:03 +0000

If you’ve ever worked with SVG files in real projects, you probably know this pain:

Uploading files to random websites
Waiting for slow conversions
Dealing with file size limits
Losing time switching between tools
Worrying about privacy and file security

I got tired of that workflow — so I built something to fix it.

Meet SVG Converter PRO v2.2.0.

🧠 Why I Built This

As a developer working with UI assets and icon systems, I needed a tool that:

Works offline
Handles batch processing
Supports multiple output formats
Runs fast without web dependencies
Doesn’t force uploads or accounts

Most tools out there were either too basic or cloud-based.

So I built a desktop application in Python that does everything locally.

⚡ What SVG Converter PRO Does

This is not just a simple converter — it’s a full SVG processing toolkit.

🔄 Conversion Features

Convert SVG files into:

PNG
JPG
WebP
ICO (multi-size icon generation)
PDF
🌐 Web-Friendly Outputs

Generate developer-ready formats:

Base64 encoded SVG
Data URI strings
🛠 Advanced SVG Tools

Includes built-in processing features:

Transparency handling
Opacity adjustment
Noise filter effects
🚀 Built for Real Developer Workflows

Instead of clicking through online tools one by one, this app lets you:

Drag & drop multiple SVG files
Process everything in batch
Monitor real-time progress
Pause, resume, or stop tasks
Export everything as a ZIP file

It’s designed for speed and productivity.

⚙️ Performance & Architecture

Under the hood, it uses:

Multi-threaded processing (faster batch execution)
CairoSVG for high-quality rendering
Pillow for image optimization
Queue-based UI updates for smooth performance

Even with large batches, it stays stable and responsive.

🔒 Fully Offline = Full Privacy

Everything runs locally on your machine.

No:

Internet connection required
File uploads
External API calls
Tracking or logging of your files

Your assets stay 100% private.

👨‍💻 Who This Is For

This tool is ideal for:

Frontend developers
UI/UX designers
App developers
Icon designers
Anyone working with SVG assets

If you constantly convert icons or design assets, this saves a lot of time.

💡 Why It’s Different

Instead of juggling multiple tools, you get one unified desktop app that handles:

Conversion
Optimization
Processing
Exporting

All in one place, fully offline.

🛒 Get the Tool

If you want to try it or use it in your workflow:

👉 Buy SVG Converter PRO here:
https://matetools.gumroad.com/l/wdzph

🧾 Final Thoughts

Most SVG tools are built for convenience — but not for serious workflows.

This one is built for speed, control, and offline reliability.

If you work with SVGs regularly, it might save you more time than you expect.

🚀 Build a File Share Safety Checker (Python + Tkinter)

Mate Technologies — Tue, 21 Apr 2026 03:07:00 +0000

Detect hidden risks before sharing files — metadata, secrets, and more.

In this tutorial, we’ll build a desktop privacy scanner using Python.
It helps you analyze files and detect:

🔐 Sensitive filenames (passwords, API keys…)
📸 Image metadata (GPS location, device info)
📄 PDF author info
📊 Hidden Excel sheets
📦 Suspicious ZIP contents
🧰 1. Install Dependencies

First, install required libraries:

pip install pillow pypdf openpyxl ttkbootstrap tkinterdnd2

🏗️ 2. Basic App Setup

We start by creating the main window using tkinter and ttkbootstrap.

import tkinter as tk
import ttkbootstrap as tb
from tkinterdnd2 import TkinterDnD

APP_NAME = "File Share Safety Checker PRO"
APP_VERSION = "3.5.0"

app = TkinterDnD.Tk()
app.title(f"{APP_NAME} v{APP_VERSION}")
app.geometry("1400x780")

tb.Style("darkly")

💡 Explanation
TkinterDnD.Tk() → enables drag & drop
ttkbootstrap → modern UI theme
geometry() → sets window size
📦 3. App State (Core Variables)

We store files, results, and UI communication here:

from queue import Queue
import threading

file_list = []
results = {}

ui_queue = Queue()
progress_var = tk.IntVar(value=0)

context_mode = tk.StringVar(value="PUBLIC")
cancel_flag = threading.Event()

💡 Why this matters
results → stores scan findings
ui_queue → thread-safe UI updates
context_mode → affects risk scoring
⚠️ 4. Risk Engine (Scoring System)

This is the brain of the app.

def add_issue(file, score, msg):
    if file not in results:
        results[file] = {"score": 0, "issues": []}
    results[file]["score"] += score
    results[file]["issues"].append(msg)

💡 What it does
Adds issues per file
Increases risk score
Final Score Calculation

def finalize_score(file):
    score = min(results[file]["score"], 100)

    if context_mode.get() == "INTERNAL":
        score = int(score * 0.7)

    if score >= 70:
        risk = "HIGH"
    elif score >= 40:
        risk = "WARNING"
    elif score > 0:
        risk = "INFO"
    else:
        risk = "OK"

    return score, risk

💡 Logic
Caps score at 100
Reduces risk if internal use
Converts score → readable level
🔍 5. File Detection Rules
🧠 5.1 Filename Scanner

import os

def check_filename(file):
    keywords = ["password","secret","salary","api","key","private","token"]
    name = os.path.basename(file).lower()

    for k in keywords:
        if k in name:
            add_issue(file, 40, f"Sensitive keyword: {k}")

💡 Detects:
risky file names like password.txt
📸 5.2 Image Metadata Scanner

from PIL import Image, ExifTags

def check_image(file):
    try:
        img = Image.open(file)
        exif = img._getexif()

        if not exif:
            return

        for tag, val in exif.items():
            tag_name = ExifTags.TAGS.get(tag, tag)

            if "GPS" in str(tag_name):
                add_issue(file, 70, "GPS location found")

            if "Model" in str(tag_name):
                add_issue(file, 10, f"Device: {val}")
    except:
        pass

💡 Detects:
📍 GPS location (high risk)
📱 Device model
📄 5.3 PDF Metadata

from pypdf import PdfReader

def check_pdf(file):
    try:
        reader = PdfReader(file)
        meta = reader.metadata

        if meta and meta.author:
            add_issue(file, 30, f"Author: {meta.author}")
    except:
        pass

📊 5.4 Excel Hidden Sheets

from openpyxl import load_workbook

def check_excel(file):
    try:
        wb = load_workbook(file)

        for s in wb.worksheets:
            if s.sheet_state != "visible":
                add_issue(file, 30, f"Hidden sheet: {s.title}")
    except:
        pass

📦 5.5 ZIP Scanner

import zipfile

def check_zip(file):
    try:
        with zipfile.ZipFile(file) as z:
            for name in z.namelist():
                if any(x in name.lower() for x in ["password","secret","key"]):
                    add_issue(file, 60, f"ZIP contains: {name}")
    except:
        pass

⚡ 6. Multithreaded Scanner

We scan files in parallel for speed.

from concurrent.futures import ThreadPoolExecutor, as_completed

def scan():
    results.clear()
    ui_queue.put(("clear_results", None))

    files = list(file_list)
    total = len(files)

    def worker(file):
        check_filename(file)

        if file.lower().endswith((".jpg",".png",".jpeg")):
            check_image(file)
        elif file.endswith(".pdf"):
            check_pdf(file)
        elif file.endswith(".xlsx"):
            check_excel(file)
        elif file.endswith(".zip"):
            check_zip(file)

Run Threads

    done = 0

    with ThreadPoolExecutor(max_workers=6) as ex:
        futures = [ex.submit(worker, f) for f in files]

        for f in as_completed(futures):
            done += 1
            ui_queue.put(("progress", int(done/total*100)))

Push Results to UI

    for f in results:
        score, risk = finalize_score(f)
        issues = "; ".join(results[f]["issues"])

        ui_queue.put(("result", (f, risk, score, issues)))

🔐 7. Sanitize Images (Remove Metadata)

from PIL import Image

def strip_metadata_copy(src, dest_folder):
    try:
        img = Image.open(src)
        data = list(img.getdata())

        clean = Image.new(img.mode, img.size)
        clean.putdata(data)

        new_path = os.path.join(dest_folder, os.path.basename(src))
        clean.save(new_path)

        return new_path
    except:
        return None

💡 What it does
Removes EXIF metadata
Keeps only raw pixels
📁 8. File Input (UI Actions)
Add Files

from tkinter import filedialog

def add_files():
    files = filedialog.askopenfilenames()
    for f in files:
        if f not in file_list:
            file_list.append(f)

Add Folder

def add_folder():
    folder = filedialog.askdirectory()

    for root, _, files in os.walk(folder):
        for f in files:
            file_list.append(os.path.join(root, f))

Drag & Drop

def drop_files(event):
    files = app.tk.splitlist(event.data)

    for f in files:
        if os.path.isfile(f):
            file_list.append(f)

📊 9. Export Results (CSV)

import csv

def export_csv():
    path = filedialog.asksaveasfilename(defaultextension=".csv")

    with open(path,"w",newline="",encoding="utf-8") as f:
        writer = csv.writer(f)
        writer.writerow(["File","Risk","Score","Issues"])

        for row in tree.get_children():
            data = tree.item(row)["values"]
            if data[1] in ("HIGH","WARNING"):
                writer.writerow(data)

🔄 10. Thread-Safe UI Updates

from queue import Empty

def process_queue():
    try:
        while True:
            cmd, data = ui_queue.get_nowait()

            if cmd == "result":
                tree.insert("", "end", values=data, tags=(data[1],))

            elif cmd == "progress":
                progress_var.set(data)

            elif cmd == "clear_results":
                tree.delete(*tree.get_children())

    except Empty:
        pass

    app.after(80, process_queue)

🎯 Final Thoughts

You just built a real-world security tool with:

⚡ Multithreading
🧠 Risk scoring engine
📁 File analysis system
🔐 Metadata sanitization
🖥️ Modern GUI
💡 Next Improvements

Want to level this up?

🔍 Add AI-based content scanning
📸 Add thumbnail preview for all file types
📊 Add risk dashboard (charts)
🔐 Add one-click “Sanitize All”

WatermarkX v1.0 – Professional Watermark Tool for Images

Mate Technologies — Mon, 20 Apr 2026 13:16:00 +0000

Adding watermarks to images is a common task for photographers, designers, and content creators who want to protect their work. WatermarkX v1.0 is a lightweight, fast, and professional tool that allows you to add text and logo watermarks to your images with precision.

Get WatermarkX v1.0 here

Features
Text Watermarks: Add custom text with adjustable font size, color, rotation, and stroke (outline).
Logo Support: Overlay a PNG logo with transparency.
Repeat Diagonal Mode: Tile the watermark diagonally across the image.
Drag & Drop: Simply drag your images into the application for quick processing.
Real-Time Progress: Monitor processing speed and ETA with live updates.
Batch Processing: Apply watermarks to multiple images at once.
User Interface

WatermarkX uses a clean and intuitive interface built with Tkinter + TTKBootstrap:

Watermark Settings: Customize text, font size, opacity, rotation, stroke, and color.
Output & Actions: Choose your output folder, browse images, load logos, and apply watermarks.
Processing: Progress bar shows real-time updates for ETA and speed.
Image Preview: Gallery displays thumbnails of selected images, supporting drag & drop.
How It Works
Select Images: Use the "Browse Images" button or drag & drop into the preview area.
Set Watermark: Enter your watermark text, select font size, opacity, rotation, stroke, and pick a color.
Optional Logo: Load a PNG logo to include with your watermark.
Repeat or Single: Enable “Repeat Diagonal” to tile the watermark across the image.
Apply: Click “🔥 APPLY” to start processing. You can stop at any time using the "🛑 STOP" button.
Output: Your watermarked images are saved to the chosen output folder.
Developer Notes

WatermarkX v1.0 is built with:

Python 3.x
Tkinter + TTKBootstrap for UI
Pillow for image processing
TkinterDnD2 for drag & drop support
Threading for smooth UI during batch processing

The application ensures non-blocking UI updates while processing multiple images, with precise placement for text and logos, including rotation and stroke effects.

Download & Try

You can get the full version of WatermarkX v1.0 from Gumroad:

💻 Download WatermarkX v1.0

This version is perfect for photographers, designers, and content creators who want a fast, reliable, and professional watermarking solution without complicated setups.