PySyncroNet is an advanced software solution for secure sharing and archiving of software projects. Thanks to its innovative architecture, it can convert entire folders containing source code into a single readable and portable PDF document, which can later be fully reconstructed back into its original structure.
The PDF format not only ensures security and compatibility but also provides a powerful advantage: generated PDFs can be used as input for Artificial Intelligence (AI) models, enabling semantic analysis, automated code reviews, and NLP model training on source code.
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✨ Project → PDF Conversion Generates a detailed PDF document from a project folder, including source code, configuration files, and hierarchical structure, with line numbering and indentation preservation.
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🔄 Project Reconstruction → Folder Faithfully rebuilds the original project from the generated PDF, maintaining filenames, indentation, and structure.
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⚙️ Advanced Exclusion Management Allows exclusion of specific directories (e.g., venv, .git, node_modules), individual files, or unwanted binary extensions.
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🔍 Modern Graphical Interface (GUI) Built with Tkinter, featuring a dark theme, multiple tabs (PDF Creation, Reconstruction, Exclusions, Settings), and an interactive logging system.
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⏳ Background Processing Heavy operations run on separate threads to keep the GUI responsive.
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🔒 Security and AI-Ready All binary files are automatically excluded, making the PDFs not only safe to share but also ready for AI-based analysis (LLMs, chatbots, code analyzers, etc.).
- Python 3.8+
- Tkinter for the GUI
- FPDF and PyPDF2 for PDF handling
- Threading, pathlib, os, re for application logic
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Clone the repository:
git clone https://github.com/Sigmanih/PySyncroNet.git cd PySyncroNet -
Use virtual environment [venv] (optional)
python -m venv venv .\venv\Scripts\activate
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Install dependencies:
pip install -r requirements.txt
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Launch the application:
python main.py
- Select the project folder
- (Optionally) set exclusions
- Click "Create PDF" to generate the project documentation
- Select a previously generated PDF
- Choose an output folder
- Click "Rebuild Project" to reconstruct the original structure
The use of the PDF format as the primary output is not only a security choice but also a strategic one for AI tool integration. PDFs generated by PySyncroNet:
- Are readable by language models (such as GPT or Claude) for automated code analysis;
- Enable AI-assisted code reviews, audits, and refactoring;
- Can be used as structured datasets for training or fine-tuning models based on source code.
- Eliminates risks from malware or malicious executables
- Universal compatibility through the PDF format
- Ideal for archiving, documentation, and AI analysis
- Faithful and verifiable project reconstruction
Distributed under the MIT License.
See the LICENSE file for details.
PySyncroNet – developed by Sigmanih Version: 3.1 (AI-Enhanced Edition) Date: November 2025