Skip to main content

pharmacode-toolkit

Generate, detect and decode one-track Pharmacode barcodes in PNG, JPEG and TIFF images. Pure Python on numpy and OpenCV.

Three codes found and annotated

{
  "detections": [
    {"bbox": {"x": 45, "y": 63, "width": 149, "height": 94}, "orientation_deg": 0.0,
     "bars": ["narrow", "wide", "wide", "wide", "narrow", "narrow"],
     "bar_widths_px": [3, 9, 9, 9, 3, 3],
     "value": 91, "mirror_value": 77, "confidence": 1.0, "warnings": []}
  ],
  "errors": []
}

What it does

  • Encodes any value from 3 to 131070 into the 2..16 narrow/wide bars of the format.
  • Renders synthetic codes with the Laetus physical dimensions at any DPI, with optional rotation, blur, noise, JPEG artefacts, contrast loss, uneven lighting, perspective and scaling, all seeded and reproducible.
  • Finds one or more codes in an image at 0, 90, 180 and 270 degrees and small tilts.
  • Classifies bars, checks quiet zones and geometry, and reports both reading directions, because the format has no start or stop pattern.
  • Writes a JSON result with stable error codes and an annotated image.
  • Ships a benchmark that reports a matrix of conditions, not one number.

Install

pip install pharmacode-toolkit

From a clone of the repository: pip install . (or pip install -e .[dev] for development). Requires Python 3.10 or newer. Runtime dependencies: numpy, opencv-python-headless.

Quick start

pharmacode generate --value 12345 --dpi 300 --output sample.png
pharmacode decode sample.png --dpi 300
pharmacode decode sample.png --dpi 300 --json result.json --annotated result.png
pharmacode decode sample.png --dpi 300 --min-confidence 0.8

python -m pharmacode ... works the same as the pharmacode command above, for environments where installing a console script is inconvenient.

From Python:

from pharmacode import DecoderConfig, decode_image, load_image

result = decode_image(load_image("sample.png"), DecoderConfig(dpi=300))
for code in result.detections:
    print(code.value, code.mirror_value, code.confidence)

Supported input

8-bit grayscale or colour PNG, JPEG and TIFF; dark bars on a light background; codes upright, rotated by multiples of 90 degrees, or tilted a few degrees. Pass --dpi whenever you know the resolution: it enables physical checks and reliable classification of codes that use a single bar width.

Limitations

See docs/limitations.md. In short: no inverted codes, no two-track or colour Pharmacode, no DPI from file metadata. Thresholds come from the specification and a synthetic benchmark; on top of that the decoder is checked against real-world sample images (codes as they appear in the wild: with captions, tightly cropped, with a rule drawn across the bars, inside a chart of symbologies).

Documentation

Disclaimer

This project is an independent implementation from public descriptions of the format. It is not validated for regulated pharmaceutical packaging control and must not be used as the sole check in such a process.

Author

Konstantin Dotsenko (LinkedIn).

License

MIT, see LICENSE.

Metadata

Release files for pharmacode-toolkit 0.2.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pharmacode-toolkit 0.2.1
File Size Uploaded
pharmacode_toolkit-0.2.1.tar.gz 339.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pharmacode-toolkit 0.2.1
File Interpreter ABI Platform
pharmacode_toolkit-0.2.1-py3-none-any.whl Python 3 none any Details

Total release size: 374.9 kB

Release files / pharmacode_toolkit-0.2.1.tar.gz

Download URL pharmacode_toolkit-0.2.1.tar.gz
Size 339.4 kB
Tags Source
SHA-256 checksum
How to use checksums
a39419d4d72f8390542753b1cf48c4ed38c090cdca8c123ea6d7b5eac517ea14
BLAKE2b-256 checksum
How to use checksums
79d9cea3778962d3e8c5ee0736475443bb6c55aa0e97b3dd79012b2327739359
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 20, 2026.

Transparency log

Release files / pharmacode_toolkit-0.2.1-py3-none-any.whl

Download URL pharmacode_toolkit-0.2.1-py3-none-any.whl
Size 35.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
dfe159cda058bd5a8ebaee6749c2c0f0a13d778fcfc98f67095a1fabecdb7c35
BLAKE2b-256 checksum
How to use checksums
3e1111722ec1116b61d11122b24e4654e2ad87b1195af9e8e702824624c8a8cf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 20, 2026.

Transparency log

Release history Release notifications | RSS feed

0.3.0

2 release files

This release

0.2.1 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page