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-{"metadata_version":"2.3","name":"docling-parse","version":"3.4.0","summary":"Simple package to extract text with coordinates from programmatic PDFs","description":"# Docling Parse\n\n[![PyPI version](https://img.shields.io/pypi/v/docling-parse)](https://pypi.org/project/docling-parse/)\n[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/docling-parse)](https://pypi.org/project/docling-parse/)\n[![Poetry](https://img.shields.io/endpoint?url=https://python-poetry.org/badge/v0.json)](https://python-poetry.org/)\n[![Pybind11](https://img.shields.io/badge/build-pybind11-blue)](https://github.com/pybind/pybind11/)\n[![Platforms](https://img.shields.io/badge/platform-macos%20|%20linux%20|%20windows-blue)](https://github.com/DS4SD/docling-parse/)\n[![License MIT](https://img.shields.io/github/license/DS4SD/docling-parse)](https://opensource.org/licenses/MIT)\n\nSimple package to extract text, paths and bitmap images with coordinates from programmatic PDFs. This package is used in the [Docling](https://github.com/DS4SD/docling) PDF conversion. Below, we show a few output of the latest parser with char, word and line level output for text, in addition to the extracted paths and bitmap resources.\n\nTo do the visualizations yourself, simply run (change `word` into `char` or `line`),\n\n```sh\npoetry run python ./docling_parse/visualize.py -i \u003cpath-to-pdf-file\u003e -c word --interactive\n```\n\n\u003ctable\u003e\n  \u003ctr\u003e\n    \u003cth\u003eoriginal\u003c/th\u003e\n    \u003cth\u003echar\u003c/th\u003e\n    \u003cth\u003eword\u003c/th\u003e\n    \u003cth\u003eline\u003c/th\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_1.orig.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_1.char.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_1.word.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_1.line.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_3.orig.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_3.char.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_3.word.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_3.line.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_4.orig.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_4.char.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_4.word.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_4.line.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/table_of_contents_01.pdf.page_1.orig.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/table_of_contents_01.pdf.page_1.char.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/table_of_contents_01.pdf.page_1.word.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/table_of_contents_01.pdf.page_1.line.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/table_of_contents_01.pdf.page_4.orig.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/table_of_contents_01.pdf.page_4.char.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/table_of_contents_01.pdf.page_4.word.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/table_of_contents_01.pdf.page_4.line.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n  \u003c/tr\u003e  \n\u003c/table\u003e\n\n## Quick start\n\nInstall the package from Pypi\n\n```sh\npip install docling-parse\n```\n\nConvert a PDF (look in the [visualize.py](docling_parse/visualize.py) for a more detailed information)\n\n```python\nfrom docling_parse.document import SegmentedPdfPageLabel\nfrom docling_parse.pdf_parser import DoclingPdfParser, PdfDocument\n\nparser = DoclingPdfParser()\n\npdf_doc: PdfDocument = parser.load(\n    path_or_stream=\"\u003cpath-to-pdf\u003e\"\n)\n\n# PdfDocument.iterate_pages() will automatically populate pages as they are yielded.\nfor page_no, pred_page in pdf_doc.iterate_pages():\n\n    # iterate over the word-cells\n    for word in pred_page.yield_cells(label=SegmentedPdfPageLabel.WORD):\n        print(word.rect, \": \", word.text)    \n\n    # create a PIL image with the char cells\n    img = pred_page.render(label=SegmentedPdfPageLabel.CHAR)\n    img.show()\n```\n\nUse the CLI\n\n```sh\n$ docling-parse -h\nusage: docling-parse [-h] -p PDF\n\nProcess a PDF file.\n\noptions:\n  -h, --help         show this help message and exit\n  -p PDF, --pdf PDF  Path to the PDF file\n```\n\n\n## Performance Benchmarks\n\n### Characteristics of different parser versions\n\n\u003ctable\u003e\n  \u003ctr\u003e\n    \u003cth\u003eVersion\u003c/th\u003e\n    \u003cth\u003eOriginal\u003c/th\u003e\n    \u003cth\u003eWord-level\u003c/th\u003e\n    \u003cth\u003eSnippet-level\u003c/th\u003e\n    \u003cth\u003ePerformance\u003c/th\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003cth\u003eV1\u003c/th\u003e\n    \u003ctd rowspan=\"2\"\u003e\u003cimg src=\"./docs/example_visualisations/2305.14962v1.pdf_page=0.png\" alt=\"screenshot\" width=\"100\"/\u003e\u003c/td\u003e\n    \u003ctd\u003eNot Supported\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/example_visualisations/2305.14962v1.pdf_page=0.v1.png\" alt=\"v1 snippet\" width=\"100\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e~0.250 sec/page \u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003cth\u003eV2\u003c/th\u003e\n    \u003c!-- The \"Original\" column image spans from the previous row --\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/example_visualisations/2305.14962v1.pdf_page=0.v2.original.png\" alt=\"v1 word\" width=\"100\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/example_visualisations/2305.14962v1.pdf_page=0.v2.sanitized.png\" alt=\"v2 snippet\" width=\"100\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e~0.050 sec/page \u003cbr\u003e\u003cbr\u003e[~5-10X faster than v1]\u003c/td\u003e\n  \u003c/tr\u003e\n\u003c/table\u003e\n\n### Timings of different parser versions\n\nWe ran the v1 and v2 parser on [DocLayNet](https://huggingface.co/datasets/ds4sd/DocLayNet-v1.1). We found the following overall behavior\n\n![parser-performance](./docs/dln-v1.png)\n\n## Development\n\n### CXX\n\nTo build the parse, simply run the following command in the root folder,\n\n```sh\nrm -rf build; cmake -B ./build; cd build; make\n```\n\nYou can run the parser from your build folder. Example from parse_v1,\n\n```sh\n% ./parse_v1.exe -h\nA program to process PDF files or configuration files\nUsage:\n  PDFProcessor [OPTION...]\n\n  -i, --input arg          Input PDF file\n  -c, --config arg         Config file\n      --create-config arg  Create config file\n  -o, --output arg         Output file\n  -l, --loglevel arg       loglevel [error;warning;success;info]\n  -h, --help               Print usage\n```\n\nExample from parse_v2,\n\n```sh\n% ./parse_v2.exe -h\nprogram to process PDF files or configuration files\nUsage:\n  PDFProcessor [OPTION...]\n\n  -i, --input arg          Input PDF file\n  -c, --config arg         Config file\n      --create-config arg  Create config file\n  -p, --page arg           Pages to process (default: -1 for all) (default:\n                           -1)\n  -o, --output arg         Output file\n  -l, --loglevel arg       loglevel [error;warning;success;info]\n  -h, --help               Print usage\n```\n\nIf you dont have an input file, then a template input file will be printed on the terminal.\n\n\n### Python\n\nTo build the package, simply run (make sure [poetry](https://python-poetry.org/) is [installed](https://python-poetry.org/docs/#installing-with-the-official-installer)),\n\n```\npoetry install\n```\n\nTo test the package, run:\n\n```\npoetry run pytest ./tests -v -s\n```\n\n\n## Contributing\n\nPlease read [Contributing to Docling Parse](https://github.com/DS4SD/docling-parse/blob/main/CONTRIBUTING.md) for details.\n\n\n## References\n\nIf you use Docling in your projects, please consider citing the following:\n\n```bib\n@techreport{Docling,\n  author = {Deep Search Team},\n  month = {8},\n  title = {Docling Technical Report},\n  url = {https://arxiv.org/abs/2408.09869},\n  eprint = {2408.09869},\n  doi = {10.48550/arXiv.2408.09869},\n  version = {1.0.0},\n  year = {2024}\n}\n```\n\n## License\n\nThe Docling Parse codebase is under MIT license.\nFor individual model usage, please refer to the model licenses found in the original packages.\n\n","description_content_type":"text/markdown","author":"Peter Staar","author_email":"[email protected]","maintainer":"Peter Staar","maintainer_email":"[email protected]","license":"MIT","keywords":"docling, pdf, parser","classifiers":["Development Status :: 5 - Production/Stable","Intended Audience :: Developers","Intended Audience :: Science/Research","License :: OSI Approved :: MIT License","Operating System :: MacOS :: MacOS X","Operating System :: Microsoft :: Windows","Operating System :: POSIX :: Linux","Programming Language :: C++","Programming Language :: Python :: 3","Programming Language :: Python :: 3.9","Programming Language :: Python :: 3.10","Programming Language :: Python :: 3.11","Programming Language :: Python :: 3.12","Programming Language :: Python :: 3.13"],"platform":[],"requires_python":"\u003c4.0,\u003e=3.9","requires":[],"provides":[],"obsoletes":[],"requires_dist":["docling-core\u003c3.0.0,\u003e=2.14.0","pillow\u003c12.0.0,\u003e=10.0.0","pydantic\u003c3.0.0,\u003e=2.0.0","pywin32\u003e=305; sys_platform == \"win32\"","tabulate\u003c1.0.0,\u003e=0.9.0"],"provides_dist":[],"obsoletes_dist":[],"requires_external":[],"project_urls":["Homepage, https://github.com/DS4SD/docling-parse","Repository, https://github.com/DS4SD/docling-parse"],"uploaded_via":"twine/6.1.0 CPython/3.12.8","upload_time":"2025-02-18 10:58:10.054989 UTC","filename":"docling_parse-3.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl","size":"15101855","path":"24/08/40e4cf6d1e795b6e713d761331ee5bc1f3bb908ea5e2897f1e57fb220493/docling_parse-3.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl","python_version":"cp312","packagetype":"bdist_wheel","has_signature":false,"md5_digest":"ef244ffbd29284fbdfa11983d74c8ffa","sha256_digest":"452334b387e2c699f69acf37a4ea4ae7097d062a2dd1980c573b73051c031158","blake2_256_digest":"240840e4cf6d1e795b6e713d761331ee5bc1f3bb908ea5e2897f1e57fb220493","license_files":[]}
-{"metadata_version":"2.3","name":"wagtail-grapple","version":"0.28.0","summary":"A Wagtail package that speeds up and simplifies implementing a GraphQL endpoint!","description":"\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://github.com/torchbox/wagtail-grapple\"\u003e\n    \u003cimg src=\"https://github.com/torchbox/wagtail-grapple/raw/main/.github/wagtail-grapple.svg?sanitize=true\" alt=\"A red g with a grapple hook\" width=\"80\" height=\"80\"\u003e\n  \u003c/a\u003e\n\u003c/p\u003e\n\n# Wagtail Grapple\n\n[![Build status](https://github.com/torchbox/wagtail-grapple/actions/workflows/ci.yml/badge.svg)](https://github.com/torchbox/wagtail-grapple/actions)\n[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)\n[![PyPi](https://img.shields.io/pypi/v/wagtail-grapple.svg)](https://pypi.org/project/wagtail-grapple/)\n[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/torchbox/wagtail-grapple/main.svg)](https://results.pre-commit.ci/latest/github/torchbox/wagtail-grapple/main)\n\nA library to build GraphQL endpoints easily so you can grapple your Wagtail data from anywhere!\n\n[Explore the docs »](https://wagtail-grapple.readthedocs.io/en/latest/) ·\n[Report Bug](https://github.com/torchbox/wagtail-grapple/issues) ·\n[Request Feature](https://github.com/torchbox/wagtail-grapple/issues)\n\n## About The Project\n\nThere is a range of GraphQL packages for Python and specifically Django.\nHowever, getting these packages to work out of the box with an existing infrastructure\nwithout errors isn't as easy to come by.\n\nThe purpose of Grapple is to be able to build GraphQL endpoints on a model by model\nbasis as quickly as possible. The setup and configuration have been designed\nto be as simple but also provide the best features;\nNo complex serializers need to be written - just add a `graphql_fields` list\nto your model and away you go (although if you want to go deeper you can!).\n\n### Features\n\n-   Easily create GraphQL types by adding a small annotation in your models.\n-   Supports traditional Wagtail models:\n    -   Pages (including StreamField \u0026 Orderables)\n    -   Snippets\n    -   Images\n    -   Documents\n    -   Media (via [wagtailmedia](https://pypi.org/project/wagtailmedia/))\n    -   Settings\n    -   Redirects\n    -   Search (on all models)\n-   Custom Image \u0026 Document model support\n-   Pagination support\n-   Middleware support\n\n### Built With\n\nThis library is an abstraction upon and relies heavily on Graphene \u0026 Graphene Django.\n\n-   [Graphene](https://github.com/graphql-python/graphene)\n-   [Graphene Django](https://github.com/graphql-python/graphene)\n\n## Getting Started\n\nGetting Grapple installed is designed to be as simple as possible!\n\n### Prerequisites\n\n```\nPython \u003e= 3.9\nWagtail \u003e= 6.3\nDjango \u003e= 4.2\n```\n\n### Installation\n\nInstall using pip\n\n```bash\npython -m pip install wagtail_grapple\n```\n\nAdd the following to the `INSTALLED_APPS` list in your Wagtail settings file:\n\n```python\nINSTALLED_APPS = [\n    # ...\n    \"grapple\",\n    \"graphene_django\",\n    # ...\n]\n```\n\nAdd the following to the bottom of the same settings file, where each key is the app you want to this library to scan and the value is the prefix you want to give to GraphQL types (you can usually leave this blank):\n\n```python\n# Grapple config:\nGRAPHENE = {\"SCHEMA\": \"grapple.schema.schema\"}\nGRAPPLE = {\n    \"APPS\": [\"home\"],\n}\n```\n\nAdd the GraphQL URLs to your `urls.py`:\n\n```python\nfrom django.urls import include, path\nfrom grapple import urls as grapple_urls\n\n# ...\nurlpatterns = [\n    # ...\n    path(\"api/\", include(grapple_urls)),\n    # ...\n]\n```\n\nDone! Now you can proceed onto configuring your models to generate GraphQL types that adopt their structure :tada:\n_Your GraphQL endpoint is available at [http://localhost:8000/api/graphql/](http://localhost:8000/api/graphql/)_\n\n## Usage\n\nHere is a GraphQL model configuration for the default page from the Wagtail docs:\n\n```python\n# ...\nfrom grapple.models import GraphQLString, GraphQLStreamfield\n\n\nclass BlogPage(Page):\n    author = models.CharField(max_length=255)\n    date = models.DateField(\"Post date\")\n    body = StreamField(\n        [\n            (\"heading\", blocks.CharBlock(classname=\"full title\")),\n            (\"paragraph\", blocks.RichTextBlock()),\n            (\"image\", ImageChooserBlock()),\n        ]\n    )\n\n    content_panels = Page.content_panels + [\n        FieldPanel(\"author\"),\n        FieldPanel(\"date\"),\n        StreamFieldPanel(\"body\"),\n    ]\n\n    # Note these fields below:\n    graphql_fields = [\n        GraphQLString(\"heading\"),\n        GraphQLString(\"date\"),\n        GraphQLString(\"author\"),\n        GraphQLStreamfield(\"body\"),\n    ]\n```\n\n_For more examples, please refer to the [Documentation](https://wagtail-grapple.readthedocs.io/en/latest/)_\n\n## Contributing\n\nContributions are what make the open source community such an amazing place to learn, inspire, and create.\nAny contributions [you make](https://github.com/torchbox/wagtail-grapple/graphs/contributors) are **greatly appreciated**.\n\n1. Fork the project\n2. Create your feature branch (`git checkout -b feature/amazing-feature`)\n3. Commit your changes (`git commit -m 'Add some amazing feature'`)\n4. Push to the branch (`git push origin feature/amazing-feature`)\n5. Open a Pull Request\n\n### Local development\n\n-   In the Python environment of your choice, navigate to `tests/`\n-   Run `python -m pip install -r requirements.txt`\n-   Run `python manage.py migrate`\n-   Run server `python manage.py runserver`\n-   Run tests `python manage.py test`\n\n#### With Postgres\n\n-   Ensure you have docker and docker compose\n-   Run `docker compose up`\n-   Run `export DATABASE_URL=\"postgres://postgres:postgres@localhost/postgres\"`\n-   In the Python environment of your choice, navigate to `tests/`\n-   Run `python -m pip install -r requirements.txt`\n-   Run `python manage.py migrate`\n-   Run server `python manage.py runserver`\n-   Run tests `python manage.py test`\n\n## Compatibility\n\nWagtail Grapple supports:\n\n-   Python 3.9, 3.10, 3.11, 3.12 and 3.13\n-   Wagtail \u003e= 6.3\n\n## License\n\nDistributed under the MIT License. See `LICENSE` for more information.\n\n\u003c!-- ACKNOWLEDGEMENTS --\u003e\n\n## Inspired by\n\n-   [@tr11](https://github.com/tr11)\n-   [@tmkn](https://github.com/tmkn)\n\n","description_content_type":"text/markdown","author_email":"Nathan Horrigan \[email protected]\u003e","maintainer_email":"Dan Braghis \[email protected]\u003e","keywords":"wagtail, django, graphql, graphene, api","classifiers":["Development Status :: 4 - Beta","Intended Audience :: Developers","License :: OSI Approved :: BSD License","Operating System :: OS Independent","Programming Language :: Python","Programming Language :: Python :: 3","Programming Language :: Python :: 3.9","Programming Language :: Python :: 3.10","Programming Language :: Python :: 3.11","Programming Language :: Python :: 3.12","Programming Language :: Python :: 3.13","Framework :: Wagtail","Framework :: Wagtail :: 6"],"platform":[],"requires_python":"\u003e=3.9","requires":[],"provides":[],"obsoletes":[],"requires_dist":["Wagtail\u003e=6.3","graphene-django\u003c4,\u003e=3","wagtail-headless-preview","Sphinx\u003c8.0,\u003e=7.0; extra == \"docs\"","sphinx-wagtail-theme\u003c7.0,\u003e=6.0; extra == \"docs\"","sphinxcontrib-spelling\u003c9.0,\u003e=8.0; extra == \"docs\"","sphinx_copybutton\u003e=0.5; extra == \"docs\"","coverage\u003c8.0,\u003e=7.2.7; extra == \"testing\""],"provides_dist":[],"obsoletes_dist":[],"requires_external":[],"project_urls":["Changelog, https://github.com/torchbox/wagtail-grapple/blob/main/CHANGELOG.md","Documentation, https://wagtail-grapple.readthedocs.io/en/latest/"],"uploaded_via":"twine/6.1.0 CPython/3.12.8","upload_time":"2025-02-18 10:58:21.553226 UTC","filename":"wagtail_grapple-0.28.0-py3-none-any.whl","size":"48984","path":"8d/07/f9ef61c939329e5c91235d35544eecdbb09275cc6ea3e2c5246ffe0b94ca/wagtail_grapple-0.28.0-py3-none-any.whl","python_version":"py3","packagetype":"bdist_wheel","has_signature":false,"md5_digest":"0888b7f4cc24a57ee6da6668df591947","sha256_digest":"f75a0ef0a4d9751ca001ba3f86ab5d5053f776eb794915cd2250956aed8c4412","blake2_256_digest":"8d07f9ef61c939329e5c91235d35544eecdbb09275cc6ea3e2c5246ffe0b94ca","license_files":[]}
-{"metadata_version":"2.3","name":"docling-parse","version":"3.4.0","summary":"Simple package to extract text with coordinates from programmatic PDFs","description":"# Docling Parse\n\n[![PyPI version](https://img.shields.io/pypi/v/docling-parse)](https://pypi.org/project/docling-parse/)\n[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/docling-parse)](https://pypi.org/project/docling-parse/)\n[![Poetry](https://img.shields.io/endpoint?url=https://python-poetry.org/badge/v0.json)](https://python-poetry.org/)\n[![Pybind11](https://img.shields.io/badge/build-pybind11-blue)](https://github.com/pybind/pybind11/)\n[![Platforms](https://img.shields.io/badge/platform-macos%20|%20linux%20|%20windows-blue)](https://github.com/DS4SD/docling-parse/)\n[![License MIT](https://img.shields.io/github/license/DS4SD/docling-parse)](https://opensource.org/licenses/MIT)\n\nSimple package to extract text, paths and bitmap images with coordinates from programmatic PDFs. This package is used in the [Docling](https://github.com/DS4SD/docling) PDF conversion. Below, we show a few output of the latest parser with char, word and line level output for text, in addition to the extracted paths and bitmap resources.\n\nTo do the visualizations yourself, simply run (change `word` into `char` or `line`),\n\n```sh\npoetry run python ./docling_parse/visualize.py -i \u003cpath-to-pdf-file\u003e -c word --interactive\n```\n\n\u003ctable\u003e\n  \u003ctr\u003e\n    \u003cth\u003eoriginal\u003c/th\u003e\n    \u003cth\u003echar\u003c/th\u003e\n    \u003cth\u003eword\u003c/th\u003e\n    \u003cth\u003eline\u003c/th\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_1.orig.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_1.char.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_1.word.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_1.line.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_3.orig.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_3.char.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_3.word.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_3.line.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_4.orig.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_4.char.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_4.word.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/ligatures_01.pdf.page_4.line.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/table_of_contents_01.pdf.page_1.orig.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/table_of_contents_01.pdf.page_1.char.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/table_of_contents_01.pdf.page_1.word.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/table_of_contents_01.pdf.page_1.line.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/table_of_contents_01.pdf.page_4.orig.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/table_of_contents_01.pdf.page_4.char.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/table_of_contents_01.pdf.page_4.word.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/visualisations/table_of_contents_01.pdf.page_4.line.png\" alt=\"screenshot\" width=\"170\"/\u003e\u003c/td\u003e\n  \u003c/tr\u003e  \n\u003c/table\u003e\n\n## Quick start\n\nInstall the package from Pypi\n\n```sh\npip install docling-parse\n```\n\nConvert a PDF (look in the [visualize.py](docling_parse/visualize.py) for a more detailed information)\n\n```python\nfrom docling_parse.document import SegmentedPdfPageLabel\nfrom docling_parse.pdf_parser import DoclingPdfParser, PdfDocument\n\nparser = DoclingPdfParser()\n\npdf_doc: PdfDocument = parser.load(\n    path_or_stream=\"\u003cpath-to-pdf\u003e\"\n)\n\n# PdfDocument.iterate_pages() will automatically populate pages as they are yielded.\nfor page_no, pred_page in pdf_doc.iterate_pages():\n\n    # iterate over the word-cells\n    for word in pred_page.yield_cells(label=SegmentedPdfPageLabel.WORD):\n        print(word.rect, \": \", word.text)    \n\n    # create a PIL image with the char cells\n    img = pred_page.render(label=SegmentedPdfPageLabel.CHAR)\n    img.show()\n```\n\nUse the CLI\n\n```sh\n$ docling-parse -h\nusage: docling-parse [-h] -p PDF\n\nProcess a PDF file.\n\noptions:\n  -h, --help         show this help message and exit\n  -p PDF, --pdf PDF  Path to the PDF file\n```\n\n\n## Performance Benchmarks\n\n### Characteristics of different parser versions\n\n\u003ctable\u003e\n  \u003ctr\u003e\n    \u003cth\u003eVersion\u003c/th\u003e\n    \u003cth\u003eOriginal\u003c/th\u003e\n    \u003cth\u003eWord-level\u003c/th\u003e\n    \u003cth\u003eSnippet-level\u003c/th\u003e\n    \u003cth\u003ePerformance\u003c/th\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003cth\u003eV1\u003c/th\u003e\n    \u003ctd rowspan=\"2\"\u003e\u003cimg src=\"./docs/example_visualisations/2305.14962v1.pdf_page=0.png\" alt=\"screenshot\" width=\"100\"/\u003e\u003c/td\u003e\n    \u003ctd\u003eNot Supported\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/example_visualisations/2305.14962v1.pdf_page=0.v1.png\" alt=\"v1 snippet\" width=\"100\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e~0.250 sec/page \u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003cth\u003eV2\u003c/th\u003e\n    \u003c!-- The \"Original\" column image spans from the previous row --\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/example_visualisations/2305.14962v1.pdf_page=0.v2.original.png\" alt=\"v1 word\" width=\"100\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"./docs/example_visualisations/2305.14962v1.pdf_page=0.v2.sanitized.png\" alt=\"v2 snippet\" width=\"100\"/\u003e\u003c/td\u003e\n    \u003ctd\u003e~0.050 sec/page \u003cbr\u003e\u003cbr\u003e[~5-10X faster than v1]\u003c/td\u003e\n  \u003c/tr\u003e\n\u003c/table\u003e\n\n### Timings of different parser versions\n\nWe ran the v1 and v2 parser on [DocLayNet](https://huggingface.co/datasets/ds4sd/DocLayNet-v1.1). We found the following overall behavior\n\n![parser-performance](./docs/dln-v1.png)\n\n## Development\n\n### CXX\n\nTo build the parse, simply run the following command in the root folder,\n\n```sh\nrm -rf build; cmake -B ./build; cd build; make\n```\n\nYou can run the parser from your build folder. Example from parse_v1,\n\n```sh\n% ./parse_v1.exe -h\nA program to process PDF files or configuration files\nUsage:\n  PDFProcessor [OPTION...]\n\n  -i, --input arg          Input PDF file\n  -c, --config arg         Config file\n      --create-config arg  Create config file\n  -o, --output arg         Output file\n  -l, --loglevel arg       loglevel [error;warning;success;info]\n  -h, --help               Print usage\n```\n\nExample from parse_v2,\n\n```sh\n% ./parse_v2.exe -h\nprogram to process PDF files or configuration files\nUsage:\n  PDFProcessor [OPTION...]\n\n  -i, --input arg          Input PDF file\n  -c, --config arg         Config file\n      --create-config arg  Create config file\n  -p, --page arg           Pages to process (default: -1 for all) (default:\n                           -1)\n  -o, --output arg         Output file\n  -l, --loglevel arg       loglevel [error;warning;success;info]\n  -h, --help               Print usage\n```\n\nIf you dont have an input file, then a template input file will be printed on the terminal.\n\n\n### Python\n\nTo build the package, simply run (make sure [poetry](https://python-poetry.org/) is [installed](https://python-poetry.org/docs/#installing-with-the-official-installer)),\n\n```\npoetry install\n```\n\nTo test the package, run:\n\n```\npoetry run pytest ./tests -v -s\n```\n\n\n## Contributing\n\nPlease read [Contributing to Docling Parse](https://github.com/DS4SD/docling-parse/blob/main/CONTRIBUTING.md) for details.\n\n\n## References\n\nIf you use Docling in your projects, please consider citing the following:\n\n```bib\n@techreport{Docling,\n  author = {Deep Search Team},\n  month = {8},\n  title = {Docling Technical Report},\n  url = {https://arxiv.org/abs/2408.09869},\n  eprint = {2408.09869},\n  doi = {10.48550/arXiv.2408.09869},\n  version = {1.0.0},\n  year = {2024}\n}\n```\n\n## License\n\nThe Docling Parse codebase is under MIT license.\nFor individual model usage, please refer to the model licenses found in the original packages.\n\n","description_content_type":"text/markdown","author":"Peter Staar","author_email":"[email protected]","maintainer":"Peter Staar","maintainer_email":"[email protected]","license":"MIT","keywords":"docling, pdf, parser","classifiers":["Development Status :: 5 - Production/Stable","Intended Audience :: Developers","Intended Audience :: Science/Research","License :: OSI Approved :: MIT License","Operating System :: MacOS :: MacOS X","Operating System :: Microsoft :: Windows","Operating System :: POSIX :: Linux","Programming Language :: C++","Programming Language :: Python :: 3","Programming Language :: Python :: 3.9","Programming Language :: Python :: 3.10","Programming Language :: Python :: 3.11","Programming Language :: Python :: 3.12","Programming Language :: Python :: 3.13"],"platform":[],"requires_python":"\u003c4.0,\u003e=3.9","requires":[],"provides":[],"obsoletes":[],"requires_dist":["docling-core\u003c3.0.0,\u003e=2.14.0","pillow\u003c12.0.0,\u003e=10.0.0","pydantic\u003c3.0.0,\u003e=2.0.0","pywin32\u003e=305; sys_platform == \"win32\"","tabulate\u003c1.0.0,\u003e=0.9.0"],"provides_dist":[],"obsoletes_dist":[],"requires_external":[],"project_urls":["Homepage, https://github.com/DS4SD/docling-parse","Repository, https://github.com/DS4SD/docling-parse"],"uploaded_via":"twine/6.1.0 CPython/3.12.8","upload_time":"2025-02-18 10:58:20.091147 UTC","filename":"docling_parse-3.4.0-cp313-cp313-macosx_14_0_arm64.whl","size":"14589505","path":"55/1c/d8ccd619ec3105bc8b1c933540f2344e3adb8b73f7bf65e3d8b6867e258d/docling_parse-3.4.0-cp313-cp313-macosx_14_0_arm64.whl","python_version":"cp313","packagetype":"bdist_wheel","has_signature":false,"md5_digest":"b84ef6ff23b99b9a0b04b9234280fc99","sha256_digest":"0dd2440a94d555f98b702e88bfe7cc5a585d9191f4ea93884b02e286e7af3a06","blake2_256_digest":"551cd8ccd619ec3105bc8b1c933540f2344e3adb8b73f7bf65e3d8b6867e258d","license_files":[]}
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