docs: add interface screenshots to README and streamline setup documentation

README.md

@@ -4,14 +4,46 @@ Voicext is a high-performance desktop application built with **Electron** and **
 
 ![Voicext Logo](docs/logo/voicext-logo.png)
 
-## 🚀 Features
+## 📸 Screenshots
+
+````carousel
+![Dashboard](docs/ss/dashboard.png)
+<!-- slide -->
+![Start Transcription](docs/ss/start-transcripting.png)
+<!-- slide -->
+![Transcription Progress](docs/ss/transcription-complete.png)
+<!-- slide -->
+![SRT Editor](docs/ss/editor.png)
+<!-- slide -->
+![Model Management](docs/ss/model-management.png)
+<!-- slide -->
+![Use Case](docs/ss/ss-youtube.jpeg)
+````
+
+*A modern, glassmorphic UI designed for speed and clarity.*
+
+## 🚀 Key Features
 
 - **Local Processing:** Your data never leaves your machine. Privacy by design.
-- **GPU Acceleration:** Utilizes DirectCompute and CUDA for lightning-fast transcription using the Const-me Whisper implementation.
+- **GPU Acceleration:** Utilizes DirectCompute and CUDA for lightning-fast transcription using the Windows-optimized Whisper implementation.
+- **Built-in SRT Editor:** Edit your transcriptions instantly within the app with a real-time preview.
 - **Smart SRT Fixing:** Custom algorithm to ensure SRT files are 100% compatible with Adobe Premiere Pro and other NLEs.
-- **Multi-format Output:** Supports SRT, VTT, and TXT exports.
-- **Modern UI:** A sleek, responsive interface built with Tailwind CSS and Framer Motion.
-- **Optimized for Turkish:** Specialized handling for Turkish character encoding and language models.
+- **Model Management:** Download and switch between different AI models (Tiny, Base, Small, Medium, Large) directly from the interface.
+- **Modern UI:** A sleek, responsive interface built with React, Tailwind CSS, and Framer Motion.
+- **Turkish Optimization:** Specialized handling for Turkish character encoding and language models.
+
+## 🧠 How It Works
+
+The transcription process follows a robust pipeline to ensure accuracy and compatibility:
+
+1. **Hardware Detection:** The app automatically detects if an NVIDIA GPU is available to enable hardware acceleration.
+2. **Engine Initialization:** It spawns a background process using the `whisper.exe` CLI, passing the audio file and selected model.
+3. **Stream Processing:** Real-time feedback is captured from the engine's stdout, providing the user with live progress updates.
+4. **Post-Processing (SRT Fixer):**
+   - **Timestamp Normalization:** Corrects overlapping or negative duration segments.
+   - **Segment Merging:** Automatically merges micro-segments that often occur in long-form audio.
+   - **Encoding Correction:** Ensures the output is UTF-8 encoded, specifically handling Turkish characters to prevent encoding errors.
+   - **NLE Compatibility:** Formats the SRT specifically for high-end video editors like Adobe Premiere Pro.
 
 ## 🛠️ Technology Stack
 
@@ -20,69 +52,38 @@ Voicext is a high-performance desktop application built with **Electron** and **
 - **Styling:** [Tailwind CSS](https://tailwindcss.com/) & [Framer Motion](https://www.framer.com/motion/)
 - **Engine:** [Const-me/Whisper](https://github.com/Const-me/Whisper) (Windows-optimized C++ implementation)
 - **State Management:** [Zustand](https://github.com/pmndrs/zustand)
-- **Utilities:** `ffmpeg-static`, `iconv-lite`, `adm-zip`
-
-## 🧠 How It Works (Algorithm)
-
-The transcription process follows a robust pipeline to ensure accuracy and compatibility:
-
-1. **Hardware Detection:** The app automatically detects if an NVIDIA GPU is available to enable hardware acceleration.
-2. **Engine Initialization:** It spawns a background process using the `whisper.exe` CLI, passing the audio file and selected model (e.g., `base`, `small`).
-3. **Stream Processing:** Real-time feedback is captured from the engine's stdout/stderr, providing the user with live progress updates.
-4. **Post-Processing (SRT Fixer):**
-   - **Timestamp Normalization:** Corrects overlapping or negative duration segments.
-   - **Segment Merging:** Automatically merges micro-segments that often occur in long-form audio.
-   - **Encoding Correction:** Ensures the output is UTF-8 encoded, specifically handling Turkish characters (CP857 conversion) to prevent "mojibake".
-   - **NLE Compatibility:** Formats the SRT specifically for high-end video editors like Adobe Premiere Pro.
 
 ## ⚙️ Setup & Installation
 
 ### Prerequisites
 
 - [Node.js](https://nodejs.org/) (v18 or higher)
-- [Git](https://git-scm.com/)
 - NVIDIA GPU (Recommended for speed, but supports CPU)
 
 ### Installation Steps
 
-1. **Clone the Repository:**
+1. **Clone & Install:**
    ```bash
    git clone https://github.com/truncgil/voicext.git
    cd voicext
-   ```
-
-2. **Install Dependencies:**
-   ```bash
    npm install
    ```
 
-3. **Download Binaries & Models:**
+2. **Setup Binaries:**
    The application requires the Whisper executable and AI models. Run the automated setup script:
    ```bash
    node scripts/setup-binaries.js
    ```
-   *This will download the Const-me Whisper CLI and the `ggml-base.bin` model into the `bin/` directory.*
 
-4. **Run in Development Mode:**
+3. **Run Application:**
    ```bash
    npm run dev
    ```
 
-5. **Build for Production:**
-   ```bash
-   npm run package
-   ```
-
-## 📂 Project Structure
-
-- `src/main`: Electron main process logic and transcription engine integration.
-- `src/renderer`: React-based UI components and state management.
-- `bin/`: (Generated) Contains `whisper.exe` and `.bin` models.
-- `scripts/`: Maintenance and setup scripts for binaries.
-
 ## 📄 License
 
-This project is licensed under the MIT License - see the LICENSE file for details.
+This project is licensed under the MIT License.
 
 ---
-Developed with ❤️ by Voicext Team.
+Developed with ❤️ by **Truncgil Software**.
+