Skip to main content

Python library for automated DXF file marking and manipulation to engrave your cut files

Project description

SnapMark

SnapMark is a Python library for applying intelligent, customizable text markings and engraving paths on DXF (AutoCAD) files. It is designed to generate laser-engraving traces (not cutting paths) that make each part identifiable through incised labels, codes, and metadata. Markings are rendered as vector segments (polylines), not DXF text entities — ensuring compatibility with CAM software that reads geometry, not fonts. Built on top of the excellent ezdxf, it provides a simple API for marking, alignment, hole analysis, and batch processing — tailored for manufacturing, CNC workflows, and automated drawing preparation.

PyPI version Python 3.8+ License: MIT


⚠️ Unit & Scale Notice

SnapMark is designed for sheet-metal parts measured in millimeters.

Since DXF files may contain arbitrary units (meters, inches, kilometers, or undefined scale), loading a drawing in a different unit system may produce text markings that appear extremely large, extremely small, or misplaced.

If your DXF is not in millimeters, you must rescale it before processing, or the resulting engraving paths may not match the actual geometry.

⚠️ 3D Geometry Notice

SnapMark works exclusively with 2D DXF geometry. If the drawing contains 3D entities (non-zero Z values, 3D polylines, meshes, solids, or blocks with elevation), SnapMark will refuse processing to avoid unpredictable text placement.

Please ensure your DXF is flattened before use.


Installation

pip install snapmark

Quick Start

import snapmark as sm

# Mark all DXF files with their filename
sm.mark_by_name("path/to/drawings")

# Custom sequence: filename + folder name
seq = (sm.SequenceBuilder()
       .file_name()
       .folder(num_chars=2)   # firts 2 chars of folder name
       .build())

sm.mark_with_sequence("path/to/drawings", seq, scale_factor=100)

Features

  • Simple API - Mark files in a single function call
  • Custom sequences - Combine filename parts, folder names, literals, and custom logic
  • Automatic Alignment - Normalize orientation before marking
  • Batch Processing - Process folders and subfolders with IterationManager
  • Backup System - Automatic .bak creation and restoration
  • Hole Utilities - Fast hole detection and counting for quality checks
  • Extensible Architecture - Add your own operations and processing steps

Use Cases

  • Manufacturing: Add part numbers and quantities to production drawings
  • CAM workflows: Automatically mark drawings before CNC processing
  • Quality control: Count holes and verify drawing specifications
  • Batch processing: Apply consistent markings across large drawing sets

API Overview (Essentials)

Shortcuts (Simple Usage)

  • mark_by_name(folder) - Mark with filename
  • mark_by_split_text(folder, separator, part_index) - Mark with filename part
  • mark_with_sequence(folder, sequence) - Mark with custom sequence
  • quick_count_holes(folder, min_diam, max_diam) - Count holes
  • restore_backup(folder) - Restore from backups
  • process_single_file(file, *operations) - Pipeline on single file

SequenceBuilder (core)

seq = (sm.SequenceBuilder()
       .file_name()
       .file_part(separator="_", index=0)
       .folder(num_chars=2)
       .literal("TEXT")
       .custom(lambda folder, file: "X")
       .set_separator("-")
       .build())

Operations (Advanced)

  • AddMark(sequence) - Add a numeric/alphanumeric marking rendered as vector segments (CAM-ready engraving paths)
  • AddText(texts) - Add a DXF MTEXT entity (native text, not vectors — CAM support may vary)
  • Aligner() - Aligns the drawing along its longest side in the X direction.
  • CountHoles(find_func) - Count circles
  • AddX(find_func, x_size) - Add X marks
  • RemoveCircle(find_func) - Remove circles
  • SubstituteCircle(find_func, new_radius) - Replace circles

📘 Documentation: (Documentation files will be available in the docs/ directory.)

Requirements

  • Python 3.10+
  • ezdxf >= 1.0.0

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License - see LICENSE file for details.

Author

Federico Sidraschi
LinkedIn | GitHub

Acknowledgments

Built with ezdxf - the excellent DXF library for Python.

Examples

SnapMark comes with a set of ready-to-run examples located in the examples/ folder.
These examples demonstrate common operations, including restoring backups, counting holes, and basic marking.


Keywords: DXF, CAD, AutoCAD, marking, automation, batch processing, manufacturing, CNC, CAM

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

snapmark-2.1.3.tar.gz (42.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

snapmark-2.1.3-py3-none-any.whl (47.9 kB view details)

Uploaded Python 3

File details

Details for the file snapmark-2.1.3.tar.gz.

File metadata

  • Download URL: snapmark-2.1.3.tar.gz
  • Upload date:
  • Size: 42.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.4

File hashes

Hashes for snapmark-2.1.3.tar.gz
Algorithm Hash digest
SHA256 504a6ae45609dc42c0550667e0fb38e10d2368694706ac86a151f53141dccf8b
MD5 5dc3f77a04848e6261c3f7ac0cf1fd34
BLAKE2b-256 9572a0706a5777f3d3c8aeee3d6f1de3825a7985bda7c9e8ccf0da65ad1a9daf

See more details on using hashes here.

File details

Details for the file snapmark-2.1.3-py3-none-any.whl.

File metadata

  • Download URL: snapmark-2.1.3-py3-none-any.whl
  • Upload date:
  • Size: 47.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.4

File hashes

Hashes for snapmark-2.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 d2a330c54df38fc4380f9c919b53fb71777f4d4cdc02373b00953d3da49b3d01
MD5 3d8c0b7018d36930d2f40afc43ee289c
BLAKE2b-256 f33f70691f2ed0b8302263623ae3301b753c337c1912cddd9ea1f6a09f4b30cb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page