For GenAI and LLM usage. This package converts codebase (folder structure with files) into a single text file or a Microsoft Word document (.docx), preserving folder structure and file contents. The tool extracts file contents from various file types, including text files, documents, and more, while retaining their formatting for easy readability.

Converts a codebase (folder structure with files) into a single text file or a Microsoft Word document (.docx), preserving folder structure and file contents.

• Supports conversion of local codebase or GitHub repositories.
• Retains folder structure in a tree-like format.
• Extracts file contents and metadata.
• Supports multiple file types including text files (.txt) and Microsoft Word documents (.docx).

You can install the package using pip:

pip install codebase-to-text

You can use the package via the command line interface (CLI):

codebase-to-text --input "path_or_github_url" --output "output_path" --output_type "txt"

You can also use it programmatically in your Python code:

from codebase_to_text import CodebaseToText

code_to_text = CodebaseToText(input_path="path_or_github_url", output_path="output_path", output_type="txt")
code_to_text.get_file()

--input: Input path (local folder or GitHub URL). --output: Output file path. --output_type: Output file type (txt or docx).

Convert a local codebase to a text file:

codebase-to-text --input "~/projects/my_project" --output "output.txt" --output_type "txt"

Convert a GitHub repository to a Microsoft Word document:

codebase-to-text --input "https://github.com/username/repo_name" --output "output.docx" --output_type "docx"

License This project is licensed under the MIT License - see the LICENSE file for details.