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Vik Paruchuri commited on Jan 10

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78f3a66

1 Parent(s): 66acddd

Add image provider and tests

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Files changed (10) hide show

README.md +26 -5
marker/converters/pdf.py +3 -1
marker/converters/table.py +3 -1
marker/providers/__init__.py +2 -1
marker/providers/image.py +45 -0
marker/providers/registry.py +12 -0
poetry.lock +76 -90
pyproject.toml +2 -0
tests/conftest.py +12 -0
tests/providers/test_image_provider.py +17 -0

README.md CHANGED Viewed

@@ -1,6 +1,6 @@
 # Marker
-Marker converts PDFs to markdown, JSON, and HTML quickly and accurately.
 - Supports a wide range of documents
 - Supports all languages
@@ -63,11 +63,11 @@ There's a hosted API for marker available [here](https://www.datalab.to/):
 PDF is a tricky format, so marker will not always work perfectly.  Here are some known limitations that are on the roadmap to address:
 - Marker will only convert block equations
-- Tables are not always formatted 100% correctly - multiline cells are sometimes split into multiple rows.
 - Forms are not converted optimally
 - Very complex layouts, with nested tables and forms, may not work
-Note: Passing the `--use_llm` flag will mostly solve all of these issues.
 # Installation
@@ -84,7 +84,7 @@ pip install marker-pdf
 First, some configuration:
 - Your torch device will be automatically detected, but you can override this.  For example, `TORCH_DEVICE=cuda`.
-- Some PDFs, even digital ones, have bad text in them.  Set the `force_ocr` flag on the CLI or via configuration to ensure your PDF runs through OCR.
 ## Interactive App
@@ -101,6 +101,8 @@ marker_gui
 marker_single /path/to/file.pdf
 ```
 Options:
 - `--output_dir PATH`: Directory where output files will be saved. Defaults to the value specified in settings.OUTPUT_DIR.
 - `--output_format [markdown|json|html]`: Specify the format for the output results.
@@ -115,6 +117,7 @@ Options:
 - `--config_json PATH`: Path to a JSON configuration file containing additional settings.
 - `--languages TEXT`: Optionally specify which languages to use for OCR processing. Accepts a comma-separated list. Example: `--languages "en,fr,de"` for English, French, and German.
 - `config --help`: List all available builders, processors, and converters, and their associated configuration.  These values can be used to build a JSON configuration file for additional tweaking of marker defaults.
 The list of supported languages for surya OCR is [here](https://github.com/VikParuchuri/surya/blob/master/surya/languages.py).  If you don't need OCR, marker can work with any language.
@@ -180,7 +183,7 @@ rendered = converter("FILEPATH")
 ### Extract blocks
-Each document consists of one or more pages.  Pages contain blocks, which can themselves contain other blocks.  It's possible to programatically manipulate these blocks.
 Here's an example of extracting all forms from a document:
@@ -198,6 +201,24 @@ forms = document.contained_blocks((BlockTypes.Form,))
 Look at the processors for more examples of extracting and manipulating blocks.
 # Output Formats
 ## Markdown

 # Marker
+Marker converts PDFs and images to markdown, JSON, and HTML quickly and accurately.
 - Supports a wide range of documents
 - Supports all languages
 PDF is a tricky format, so marker will not always work perfectly.  Here are some known limitations that are on the roadmap to address:
 - Marker will only convert block equations
+- Tables are not always formatted 100% correctly
 - Forms are not converted optimally
 - Very complex layouts, with nested tables and forms, may not work
+Note: Passing the `--use_llm` flag will mostly solve these issues.
 # Installation
 First, some configuration:
 - Your torch device will be automatically detected, but you can override this.  For example, `TORCH_DEVICE=cuda`.
+- Some PDFs, even digital ones, have bad text in them.  Set the `force_ocr` flag on the CLI or via configuration to ensure your PDF runs through OCR, or the `strip_existing_ocr` to keep all digital text, and only strip out any existing OCR text.
 ## Interactive App
 marker_single /path/to/file.pdf
 ```
+You can pass in PDFs or images.
 Options:
 - `--output_dir PATH`: Directory where output files will be saved. Defaults to the value specified in settings.OUTPUT_DIR.
 - `--output_format [markdown|json|html]`: Specify the format for the output results.
 - `--config_json PATH`: Path to a JSON configuration file containing additional settings.
 - `--languages TEXT`: Optionally specify which languages to use for OCR processing. Accepts a comma-separated list. Example: `--languages "en,fr,de"` for English, French, and German.
 - `config --help`: List all available builders, processors, and converters, and their associated configuration.  These values can be used to build a JSON configuration file for additional tweaking of marker defaults.
+- `--converter_cls`: One of `marker.converters.pdf.PdfConverter` (default) or `marker.converters.table.TableConverter`.  The `PdfConverter` will convert the whole PDF, the `TableConverter` will only extract and convert tables.
 The list of supported languages for surya OCR is [here](https://github.com/VikParuchuri/surya/blob/master/surya/languages.py).  If you don't need OCR, marker can work with any language.
 ### Extract blocks
+Each document consists of one or more pages.  Pages contain blocks, which can themselves contain other blocks.  It's possible to programmatically manipulate these blocks.
 Here's an example of extracting all forms from a document:
 Look at the processors for more examples of extracting and manipulating blocks.
+### Custom converters
+You can also use custom converters to define your own conversion pipelines.  For example, the `TableConverter` will only extract tables:
+```python
+from marker.converters.table import TableConverter
+from marker.models import create_model_dict
+from marker.output import text_from_rendered
+converter = TableConverter(
+    artifact_dict=create_model_dict(),
+)
+rendered = converter("FILEPATH")
+text, _, images = text_from_rendered(rendered)
+```
+This takes all the same configuration as the PdfConverter.
 # Output Formats
 ## Markdown

marker/converters/pdf.py CHANGED Viewed

@@ -1,6 +1,7 @@
 import os
 from marker.processors import BaseProcessor
 os.environ["TOKENIZERS_PARALLELISM"] = "false"  # disables a tokenizers warning
@@ -120,7 +121,8 @@ class PdfConverter(BaseConverter):
         return cls(**resolved_kwargs)
     def build_document(self, filepath: str):
-        pdf_provider = PdfProvider(filepath, self.config)
         layout_builder = self.resolve_dependencies(self.layout_builder_class)
         ocr_builder = self.resolve_dependencies(OcrBuilder)
         document = DocumentBuilder(self.config)(pdf_provider, layout_builder, ocr_builder)

 import os
 from marker.processors import BaseProcessor
+from marker.providers.registry import provider_from_filepath
 os.environ["TOKENIZERS_PARALLELISM"] = "false"  # disables a tokenizers warning
         return cls(**resolved_kwargs)
     def build_document(self, filepath: str):
+        provider_cls = provider_from_filepath(filepath)
+        pdf_provider = provider_cls(filepath, self.config)
         layout_builder = self.resolve_dependencies(self.layout_builder_class)
         ocr_builder = self.resolve_dependencies(OcrBuilder)
         document = DocumentBuilder(self.config)(pdf_provider, layout_builder, ocr_builder)

marker/converters/table.py CHANGED Viewed

@@ -9,6 +9,7 @@ from marker.processors.llm.llm_form import LLMFormProcessor
 from marker.processors.llm.llm_table import LLMTableProcessor
 from marker.processors.table import TableProcessor
 from marker.providers.pdf import PdfProvider
 from marker.schema import BlockTypes
@@ -22,7 +23,8 @@ class TableConverter(PdfConverter):
     converter_block_types: List[BlockTypes] = (BlockTypes.Table, BlockTypes.Form, BlockTypes.TableOfContents)
     def build_document(self, filepath: str):
-        pdf_provider = PdfProvider(filepath, self.config)
         layout_builder = self.resolve_dependencies(self.layout_builder_class)
         ocr_builder = self.resolve_dependencies(OcrBuilder)
         document_builder = DocumentBuilder(self.config)

 from marker.processors.llm.llm_table import LLMTableProcessor
 from marker.processors.table import TableProcessor
 from marker.providers.pdf import PdfProvider
+from marker.providers.registry import provider_from_filepath
 from marker.schema import BlockTypes
     converter_block_types: List[BlockTypes] = (BlockTypes.Table, BlockTypes.Form, BlockTypes.TableOfContents)
     def build_document(self, filepath: str):
+        provider_cls = provider_from_filepath(filepath)
+        pdf_provider = provider_cls(filepath, self.config)
         layout_builder = self.resolve_dependencies(self.layout_builder_class)
         ocr_builder = self.resolve_dependencies(OcrBuilder)
         document_builder = DocumentBuilder(self.config)

marker/providers/__init__.py CHANGED Viewed

@@ -3,6 +3,7 @@ from typing import List, Optional, Dict
 from PIL import Image
 from pydantic import BaseModel
 from marker.schema.text import Span
 from marker.schema.text.line import Line
 from marker.util import assign_config
@@ -29,7 +30,7 @@ class BaseProvider:
     def get_images(self, idxs: List[int], dpi: int) -> List[Image.Image]:
         pass
-    def get_page_bbox(self, idx: int) -> List[float]:
         pass
     def get_page_lines(self, idx: int) -> List[Line]:

 from PIL import Image
 from pydantic import BaseModel
+from marker.schema.polygon import PolygonBox
 from marker.schema.text import Span
 from marker.schema.text.line import Line
 from marker.util import assign_config
     def get_images(self, idxs: List[int], dpi: int) -> List[Image.Image]:
         pass
+    def get_page_bbox(self, idx: int) -> PolygonBox | None:
         pass
     def get_page_lines(self, idx: int) -> List[Line]:

marker/providers/image.py ADDED Viewed

	@@ -0,0 +1,45 @@

+from typing import List, Annotated, Optional
+from PIL import Image
+from marker.providers import ProviderPageLines, BaseProvider
+from marker.schema.polygon import PolygonBox
+from marker.schema.text import Line
+class ImageProvider(BaseProvider):
+    page_range: Annotated[
+        Optional[List[int]],
+        "The range of pages to process.",
+        "Default is None, which will process all pages."
+    ] = None
+    image_count: int = 1
+    def __init__(self, filepath: str, config=None):
+        super().__init__(filepath, config)
+        self.images = [Image.open(filepath)]
+        self.page_lines: ProviderPageLines = {i: [] for i in range(self.image_count)}
+        if self.page_range is None:
+            self.page_range = range(self.image_count)
+        assert max(self.page_range) < self.image_count and min(self.page_range) >= 0, \
+            f"Invalid page range, values must be between 0 and {len(self.doc) - 1}.  Min of provided page range is {min(self.page_range)} and max is {max(self.page_range)}."
+        self.page_bboxes = {i: [0, 0, self.images[i].size[0], self.images[i].size[1]] for i in self.page_range}
+    def __len__(self):
+        return self.image_count
+    def get_images(self, idxs: List[int], dpi: int) -> List[Image.Image]:
+        return [self.images[i] for i in idxs]
+    def get_page_bbox(self, idx: int) -> PolygonBox | None:
+        bbox = self.page_bboxes[idx]
+        if bbox:
+            return PolygonBox.from_bbox(bbox)
+    def get_page_lines(self, idx: int) -> List[Line]:
+        return self.page_lines[idx]

marker/providers/registry.py ADDED Viewed

	@@ -0,0 +1,12 @@

+import filetype
+from marker.providers.image import ImageProvider
+from marker.providers.pdf import PdfProvider
+def provider_from_filepath(filepath: str):
+     kind = filetype.image_match(filepath)
+     if kind is not None:
+        return ImageProvider
+     return PdfProvider

poetry.lock CHANGED Viewed

@@ -4194,41 +4194,41 @@ torch = ["safetensors[numpy]", "torch (>=1.10)"]
 [[package]]
 name = "scikit-learn"
-version = "1.6.0"
 description = "A set of python modules for machine learning and data mining"
 optional = false
 python-versions = ">=3.9"
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 ]
 [package.dependencies]
@@ -4248,53 +4248,60 @@ tests = ["black (>=24.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.9)", "numpydoc (
 [[package]]
 name = "scipy"
-version = "1.14.1"
 description = "Fundamental algorithms for scientific computing in Python"
 optional = false
 python-versions = ">=3.10"
 files = [
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+    {file = "scipy-1.15.0-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:351899dd2a801edd3691622172bc8ea01064b1cada794f8641b89a7dc5418db6"},
+    {file = "scipy-1.15.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e9baff912ea4f78a543d183ed6f5b3bea9784509b948227daaf6f10727a0e2e5"},
+    {file = "scipy-1.15.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:cd9d9198a7fd9a77f0eb5105ea9734df26f41faeb2a88a0e62e5245506f7b6df"},
+    {file = "scipy-1.15.0-cp313-cp313t-win_amd64.whl", hash = "sha256:129f899ed275c0515d553b8d31696924e2ca87d1972421e46c376b9eb87de3d2"},
+    {file = "scipy-1.15.0.tar.gz", hash = "sha256:300742e2cc94e36a2880ebe464a1c8b4352a7b0f3e36ec3d2ac006cdbe0219ac"},
 ]
 [package.dependencies]
+numpy = ">=1.23.5,<2.5"
 [package.extras]
 dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"]
+doc = ["intersphinx_registry", "jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.16.5)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<8.0.0)", "sphinx-copybutton", "sphinx-design (>=0.4.0)"]
+test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
 [[package]]
 name = "send2trash"
 [package.extras]
 dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"]
 [[package]]
 name = "tabulate"
 version = "0.9.0"
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
+content-hash = "8118fd027892740419e08b6c5e0c1ff1231f6dc5ccd1b20e82d5ea2de358cb59"

pyproject.toml CHANGED Viewed

@@ -40,6 +40,8 @@ markdownify = "^0.13.1"
 click = "^8.1.7"
 google-generativeai = "^0.8.3"
 markdown2 = "^2.5.2"
 [tool.poetry.group.dev.dependencies]
 jupyter = "^1.0.0"

 click = "^8.1.7"
 google-generativeai = "^0.8.3"
 markdown2 = "^2.5.2"
+filetype = "^1.2.0"
+scikit-learn = "^1.6.1"
 [tool.poetry.group.dev.dependencies]
 jupyter = "^1.0.0"

tests/conftest.py CHANGED Viewed

@@ -2,6 +2,8 @@ from marker.providers.pdf import PdfProvider
 import tempfile
 from typing import Dict, Type
 import datasets
 import pytest
@@ -116,3 +118,13 @@ def renderer(request, config):
             raise ValueError(f"Unknown output format: {output_format}")
     else:
         return MarkdownRenderer

 import tempfile
 from typing import Dict, Type
+from PIL import Image, ImageDraw
 import datasets
 import pytest
             raise ValueError(f"Unknown output format: {output_format}")
     else:
         return MarkdownRenderer
+@pytest.fixture(scope="function")
+def temp_image():
+    img = Image.new("RGB", (512, 512), color="white")
+    draw = ImageDraw.Draw(img)
+    draw.text((10, 10), "Hello, World!", fill="black")
+    with tempfile.NamedTemporaryFile(suffix=".png") as f:
+        img.save(f.name)
+        f.flush()
+        yield f

tests/providers/test_image_provider.py ADDED Viewed

	@@ -0,0 +1,17 @@

+from marker.providers.image import ImageProvider
+from marker.renderers.markdown import MarkdownOutput
+def test_image_provider(config, temp_image):
+    provider = ImageProvider(temp_image.name, config)
+    assert len(provider) == 1
+    assert provider.get_images([0], 72)[0].size == (512, 512)
+    page_lines = provider.get_page_lines(0)
+    assert len(page_lines) == 0
+def test_image_provider_conversion(pdf_converter, temp_image):
+    markdown_output: MarkdownOutput = pdf_converter(temp_image.name)
+    assert "Hello, World!" in markdown_output.markdown