volBrain PDF to Excel is a lightweight desktop application that converts volBrain PDF reports into structured and editable Excel (.xlsx) files.
Built with Python (Tkinter GUI), it now includes a dual-language interface — English ᴇɴ and Turkish 🇹🇷.
- 🧾 Automatic PDF Parsing – Reads volBrain reports and exports clean Excel data
- 🌐 Dual Language Support – English & Turkish interface (added in v1.1.0)
- 💾 Excel Export – Converts and saves results as
.xlsxfiles - ⚙️ Offline Operation – Works fully offline (no internet required)
- 🪶 Simple Interface – Easy-to-use design for researchers and clinicians
- Download the latest setup file from the Releases page
- Run
volBrain_PDF_to_Excel_Setup_1.1.0 - Follow the setup wizard
- Launch the app from the Start Menu or your Desktop shortcut
🗒️ Installer type: All-users (requires admin privileges)
# Clone repository
git clone https://github.com/<your-username>/volBrainPDFtoExcel.git
cd volBrainPDFtoExcel
# Install dependencies
pip install pdfplumber openpyxl
# Run the app
python volbrainpdf2excel.py- Choose your PDF folder (containing volBrain reports)
- Select your Excel output file path
- Pick your interface language (English / Türkçe)
- Click Convert → Done! ✅
| Component | Description |
|---|---|
| Language | Python 3.13 |
| Framework | Tkinter GUI |
| Packaging | PyInstaller + Inno Setup |
| Supported OS | Windows 10 / 11 (x64) |
| Output Format | Excel .xlsx (via OpenPyXL) |
volBrainPDFtoExcel/
├── 📂 Screenshots/
│ ├── ExcelTableEnglish.png
│ ├── ExcelTableEnglishP2.png
│ ├── LanguagesSelect.png
│ ├── MainEnglish.png
│ ├── ProgressBar.png
│ └── SuccessWindow.png
│
├── 📂 assets/
│ └── icon.ico
│
├── ⚙️ volbrainpdf2excel.py
├── 🧾 README.md
├── ⚙️ .gitattributes
└── ⚙️ .gitignore| Version | Date | Notes |
|---|---|---|
| 1.1.0 | 29 Oct 2025 | Added English interface; UI improvements |
| 1.0.0 | 15 Oct 2025 | Initial release — Turkish-only version |
UI and functional examples are shown below.
(Some information has been redacted for patient confidentiality.)
Created by Umut Özcan
“Turning neuroscience data into accessible insights.”
- Open an issue → Issues
- Feature requests & bug reports are welcome!
- If you find this project useful, please give it a ⭐ on GitHub — it helps more people discover it.
This project is licensed under the MIT License.





