Files are read locally. The folder is never uploaded.
This tool runs locally in your browser.
Results are estimates based on your input only; entered values and result contents are not stored by BoringToolsKit.
Your inputs and results stay in this browser. This page may send privacy-bounded aggregate interaction events described in Privacy; it does not send your entered values or result contents.
Use this result
Share the current inputs or ask ChatGPT to explain the calculation in context.
What does this calculator estimate?
Selecting a small project folder with README.md and src/app.py produces a prompt containing both files labeled by path, ready to paste into an AI tool. Binary files and security-sensitive paths are skipped.
- Security-sensitive paths like .git, node_modules, .env, credentials, and keys are skipped.
- Files are labeled by path so the model can reference structure.
- Binary files are excluded because they are not useful prompt text.
What bundling does
AI coding assistants work better with full context. This tool concatenates your selected text files with their paths into one prompt, so the model sees the actual code and structure instead of a vague description.
Limitations to watch for
The tool filters common secret paths, but you are responsible for what leaves your machine — review the output before pasting anywhere. Binary files (images, zips) are skipped. Large folders produce very long prompts; select only relevant files.
How to use it in practice
Select the folder (or specific files) containing the relevant source, generate the bundle, and review the filtered file list. Paste into your AI tool with a clear task. Keep secrets out by construction and by habit.
['Select a folder or files.', 'The tool bundles text files with paths.', 'Review, then paste into your AI tool.']
How this calculator works
Formula
Bundles selected folder files into a single prompt text with file paths, skipping binary files and security-sensitive paths (.git, node_modules, .env, credentials, keys).
Worked example
Selecting a small project folder with README.md and src/app.py produces a prompt containing both files labeled by path — ready to paste into an AI tool.
Assumptions to verify
- The user reviews output before sharing it.
- Security-blocked paths cover common secret files.
- Binary files are excluded from the bundle.
Frequently asked questions
What does folder to prompt do?
It packages the text files in a selected folder into a single prompt with file paths — ready for an AI coding assistant.
What files are skipped?
Binary files and security-sensitive paths: .git, node_modules, .env, credentials, secret files, and private keys.
Is my code uploaded?
The bundling runs locally — but pasting the result into an AI tool sends it there. Review before pasting.
Why is it useful?
AI models give better answers with real context — the actual code and structure beat a verbal description.
What if my folder is huge?
The prompt becomes very long — select only the relevant files to keep it focused and within model limits.
Can I use it for documentation?
Yes — bundle docs and specs for summarization or review tasks.
Is it safe for secrets?
Common secret files are filtered automatically, but always review the output before sharing it anywhere.
Cite this tool
BoringToolsKit. “Folder to Prompt.” boringtoolskit.com/folder-to-prompt/ (reviewed 2026-08-25). Free to reference in articles, syllabi, and answer posts with a link.
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