scanc

scanc = scan c(ode)
A fast, pure‑Python project code‑scanner that outputs clean, AI‑ready Markdown or XML.

scanc helps you spill an entire codebase into an LLM prompt (or a file) in seconds—while keeping noise low, controlling token budgets, and giving you full visibility.

Features

Installation

# Optional: Use a virutal environment
python3 -m venv --prompt scanc-env .venv
source .venv/bin/activate

pip install scanc[tiktoken]  # installs optional token‑counter support

Quickstart

Scan a directory and emit Markdown:

scanc .                         # scan current folder
scanc -e py,js --tree           # only .py and .js files + directory tree
scanc -f xml                    # output scan in xml format (new in v1.2.0)
scanc -e py -x "tests" | less   # only py files exclude tests in path
scanc --tokens gpt-4o           # show token count for gpt 4o only
scanc -e py | pbcopy            # scan and copy (macOS copy command example)

Write output directly to a file:

scanc -e ts --tree -o scan.md src/
cat scan.md

CLI Reference

scanc [OPTIONS] [PATHS...]

• -e, --ext EXTS Comma‑separated extensions to include (e.g. py,js).
• -i, --include-regex Regex patterns to include (full path match).
• -x, --exclude-regex Regex patterns to exclude (full path match).
• --no-default-excludes Disable built‑in ignore list.
• -t, --tree Prepend directory tree (fenced code block).
• -T, --tokens MODEL Output only token count for given LLM model.
• --max-size BYTES Skip files larger than BYTES (default 1 MiB).
• --follow-symlinks Traverse symlinks when scanning.
• -o, --out OUTFILE Write result to OUTFILE instead of stdout.
• -f, --format FORMAT Output format (default: markdown).
• -V, --version Show version and exit.

Integration & Extensibility

• Formatter Hook: Customize output by passing your own formatter via entry points.
• Extras: Use scanc[tiktoken] to enable token counting; more extras may follow.

Docker usage

A ready-to-run container is published to GitHub Container Registry (GHCR). It runs as non-root and scans the mounted host directory by default.

Pull

docker pull ghcr.io/mqxym/scanc:latest

Scan the current project (read-only mount)

# Linux/macOS (Bash/Zsh)
docker run --rm -v "$PWD":/work:ro ghcr.io/mqxym/scanc:latest .

# Windows PowerShell
docker run --rm -v "${PWD}:/work:ro" ghcr.io/mqxym/scanc:latest .

Because the container’s WORKDIR is /work and ENTRYPOINT is scanc, passing . scans your host’s current folder.

Write output to a file

Either redirect on the host:

docker run --rm -v "$PWD":/work:ro ghcr.io/mqxym/scanc:latest -e py --tree . > scan.md

...or mount as writable and write into /work:

docker run --rm -v "$PWD":/work ghcr.io/mqxym/scanc:latest -e py --tree -o /work/scan.md .

Tip (Linux/macOS): preserve file ownership when writing by mapping your UID/GID

docker run --rm \
  --user "$(id -u)":"$(id -g)" \
  -v "$PWD":/work ghcr.io/mqxym/scanc:latest -o /work/scan.md .

Examples

# Only Python & JS files, include directory tree
docker run --rm -v "$PWD":/work:ro ghcr.io/mqxym/scanc:latest -e py,js --tree .

# Token count only (requires optional 'tiktoken' which is baked into the image)
docker run --rm -v "$PWD":/work:ro ghcr.io/mqxym/scanc:latest --tokens gpt-4o .

Licence

Released under the MIT Licence. See LICENCE for details.