Merge pull request #877 from datalab-to/dev

marker/converters/pdf.py

@@ -1,5 +1,7 @@
 import os
 
+from marker.schema.document import Document
+
 os.environ["TOKENIZERS_PARALLELISM"] = "false"  # disables a tokenizers warning
 
 from collections import defaultdict
@@ -171,7 +173,7 @@ class PdfConverter(BaseConverter):
             if temp_file is not None and os.path.exists(temp_file.name):
                 os.unlink(temp_file.name)
 
-    def build_document(self, filepath: str):
+    def build_document(self, filepath: str) -> Document:
         provider_cls = provider_from_filepath(filepath)
         layout_builder = self.resolve_dependencies(self.layout_builder_class)
         line_builder = self.resolve_dependencies(LineBuilder)

marker/models.py

@@ -1,5 +1,8 @@
 import os
-os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1" # Transformers uses .isin for an op, which is not supported on MPS
+
+os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = (
+    "1"  # Transformers uses .isin for an op, which is not supported on MPS
+)
 
 from surya.foundation import FoundationPredictor
 from surya.detection import DetectionPredictor
@@ -8,13 +11,18 @@ from surya.ocr_error import OCRErrorPredictor
 from surya.recognition import RecognitionPredictor
 from surya.table_rec import TableRecPredictor
 
-def create_model_dict(device=None, dtype=None) -> dict:
-    foundation_predictor = FoundationPredictor(device=device, dtype=dtype)
+
+def create_model_dict(
+    device=None, dtype=None, attention_implementation: str | None = None
+) -> dict:
+    foundation_predictor = FoundationPredictor(
+        device=device, dtype=dtype, attention_implementation=attention_implementation
+    )
     return {
         "foundation_model": foundation_predictor,
         "layout_model": LayoutPredictor(device=device, dtype=dtype),
         "recognition_model": RecognitionPredictor(foundation_predictor),
         "table_rec_model": TableRecPredictor(device=device, dtype=dtype),
         "detection_model": DetectionPredictor(device=device, dtype=dtype),
-        "ocr_error_model": OCRErrorPredictor(device=device, dtype=dtype)
-    }
+        "ocr_error_model": OCRErrorPredictor(device=device, dtype=dtype),
+    }

marker/schema/blocks/base.py

@@ -100,6 +100,7 @@ class Block(BaseModel):
     lowres_image: Image.Image | None = None
     highres_image: Image.Image | None = None
     removed: bool = False  # Has block been replaced by new block?
+    _metadata: Optional[dict] = None
 
     model_config = ConfigDict(arbitrary_types_allowed=True)
 
@@ -114,6 +115,16 @@ class Block(BaseModel):
         block_attrs = block.model_dump(exclude=["id", "block_id", "block_type"])
         return cls(**block_attrs)
 
+    def set_internal_metadata(self, key, data):
+        if self._metadata is None:
+            self._metadata = {}
+        self._metadata[key] = data
+
+    def get_internal_metadata(self, key):
+        if self._metadata is None:
+            return None
+        return self._metadata.get(key)
+
     def get_image(
         self,
         document: Document,

poetry.lock

@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.4 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -1652,6 +1652,28 @@ files = [
     {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
 ]
 
+[[package]]
+name = "hf-xet"
+version = "1.1.9"
+description = "Fast transfer of large files with the Hugging Face Hub."
+optional = false
+python-versions = ">=3.8"
+groups = ["main", "dev"]
+markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""
+files = [
+    {file = "hf_xet-1.1.9-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:a3b6215f88638dd7a6ff82cb4e738dcbf3d863bf667997c093a3c990337d1160"},
+    {file = "hf_xet-1.1.9-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:9b486de7a64a66f9a172f4b3e0dfe79c9f0a93257c501296a2521a13495a698a"},
+    {file = "hf_xet-1.1.9-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a4c5a840c2c4e6ec875ed13703a60e3523bc7f48031dfd750923b2a4d1a5fc3c"},
+    {file = "hf_xet-1.1.9-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:96a6139c9e44dad1c52c52520db0fffe948f6bce487cfb9d69c125f254bb3790"},
+    {file = "hf_xet-1.1.9-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:ad1022e9a998e784c97b2173965d07fe33ee26e4594770b7785a8cc8f922cd95"},
+    {file = "hf_xet-1.1.9-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:86754c2d6d5afb11b0a435e6e18911a4199262fe77553f8c50d75e21242193ea"},
+    {file = "hf_xet-1.1.9-cp37-abi3-win_amd64.whl", hash = "sha256:5aad3933de6b725d61d51034e04174ed1dce7a57c63d530df0014dea15a40127"},
+    {file = "hf_xet-1.1.9.tar.gz", hash = "sha256:c99073ce404462e909f1d5839b2d14a3827b8fe75ed8aed551ba6609c026c803"},
+]
+
+[package.extras]
+tests = ["pytest"]
+
 [[package]]
 name = "httpcore"
 version = "1.0.7"
@@ -1701,19 +1723,20 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.30.2"
+version = "0.34.4"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 groups = ["main", "dev"]
 files = [
-    {file = "huggingface_hub-0.30.2-py3-none-any.whl", hash = "sha256:68ff05969927058cfa41df4f2155d4bb48f5f54f719dd0390103eefa9b191e28"},
-    {file = "huggingface_hub-0.30.2.tar.gz", hash = "sha256:9a7897c5b6fd9dad3168a794a8998d6378210f5b9688d0dfc180b1a228dc2466"},
+    {file = "huggingface_hub-0.34.4-py3-none-any.whl", hash = "sha256:9b365d781739c93ff90c359844221beef048403f1bc1f1c123c191257c3c890a"},
+    {file = "huggingface_hub-0.34.4.tar.gz", hash = "sha256:a4228daa6fb001be3f4f4bdaf9a0db00e1739235702848df00885c9b5742c85c"},
 ]
 
 [package.dependencies]
 filelock = "*"
 fsspec = ">=2023.5.0"
+hf-xet = {version = ">=1.1.3,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""}
 packaging = ">=20.9"
 pyyaml = ">=5.1"
 requests = "*"
@@ -1721,17 +1744,19 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
-hf-xet = ["hf-xet (>=0.1.4)"]
+hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"]
 inference = ["aiohttp"]
-quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.9.0)"]
+mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"]
+oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"]
+quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 tensorflow-testing = ["keras (<3.0)", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
@@ -5390,21 +5415,21 @@ snowflake = ["snowflake-connector-python (>=3.3.0) ; python_version < \"3.12\"",
 
 [[package]]
 name = "surya-ocr"
-version = "0.16.0"
+version = "0.16.7"
 description = "OCR, layout, reading order, and table recognition in 90+ languages"
 optional = false
 python-versions = "<4.0,>=3.10"
 groups = ["main"]
 files = [
-    {file = "surya_ocr-0.16.0-py3-none-any.whl", hash = "sha256:57cfd1fb9feec410d5e393455efc0a0352f6e3a96ceabd5ba9aea9b66b4d12aa"},
-    {file = "surya_ocr-0.16.0.tar.gz", hash = "sha256:8237a580cb227fce4350eea89acf7b8caf9dd62ad3135c86c020eb44ade448ae"},
+    {file = "surya_ocr-0.16.7-py3-none-any.whl", hash = "sha256:20bf5f7f22832a15bee6a0b65343b439b0317877da997f49ce4ea8d7f595647f"},
+    {file = "surya_ocr-0.16.7.tar.gz", hash = "sha256:bd3561acbbac9fb02069bedae5ec9fda1d7f868b17fd2a59447f79f61893a7cd"},
 ]
 
 [package.dependencies]
 click = ">=8.1.8,<9.0.0"
 einops = ">=0.8.1,<0.9.0"
 filetype = ">=1.2.0,<2.0.0"
-opencv-python-headless = ">=4.11.0.86,<5.0.0.0"
+opencv-python-headless = "4.11.0.86"
 pillow = ">=10.2.0,<11.0.0"
 platformdirs = ">=4.3.6,<5.0.0"
 pre-commit = ">=4.2.0,<5.0.0"
@@ -5413,7 +5438,7 @@ pydantic-settings = ">=2.1.0,<3.0.0"
 pypdfium2 = "4.30.0"
 python-dotenv = ">=1.0.0,<2.0.0"
 torch = ">=2.7.0,<3.0.0"
-transformers = ">=4.51.2,<4.54.0"
+transformers = ">=4.56.1"
 
 [[package]]
 name = "sympy"
@@ -5540,27 +5565,27 @@ test = ["pytest", "ruff"]
 
 [[package]]
 name = "tokenizers"
-version = "0.21.1"
+version = "0.22.0"
 description = ""
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "tokenizers-0.21.1-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:e78e413e9e668ad790a29456e677d9d3aa50a9ad311a40905d6861ba7692cf41"},
-    {file = "tokenizers-0.21.1-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:cd51cd0a91ecc801633829fcd1fda9cf8682ed3477c6243b9a095539de4aecf3"},
-    {file = "tokenizers-0.21.1-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:28da6b72d4fb14ee200a1bd386ff74ade8992d7f725f2bde2c495a9a98cf4d9f"},
-    {file = "tokenizers-0.21.1-cp39-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:34d8cfde551c9916cb92014e040806122295a6800914bab5865deb85623931cf"},
-    {file = "tokenizers-0.21.1-cp39-abi3-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:aaa852d23e125b73d283c98f007e06d4595732104b65402f46e8ef24b588d9f8"},
-    {file = "tokenizers-0.21.1-cp39-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a21a15d5c8e603331b8a59548bbe113564136dc0f5ad8306dd5033459a226da0"},
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-    {file = "tokenizers-0.21.1-cp39-abi3-musllinux_1_2_i686.whl", hash = "sha256:9ac78b12e541d4ce67b4dfd970e44c060a2147b9b2a21f509566d556a509c67d"},
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-    {file = "tokenizers-0.21.1-cp39-abi3-win_amd64.whl", hash = "sha256:0f0dcbcc9f6e13e675a66d7a5f2f225a736745ce484c1a4e07476a89ccdad382"},
-    {file = "tokenizers-0.21.1.tar.gz", hash = "sha256:a1bb04dc5b448985f86ecd4b05407f5a8d97cb2c0532199b2a302a604a0165ab"},
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+    {file = "tokenizers-0.22.0-cp39-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cdf5954de3962a5fd9781dc12048d24a1a6f1f5df038c6e95db328cd22964206"},
+    {file = "tokenizers-0.22.0-cp39-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8337ca75d0731fc4860e6204cc24bb36a67d9736142aa06ed320943b50b1e7ed"},
+    {file = "tokenizers-0.22.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a89264e26f63c449d8cded9061adea7b5de53ba2346fc7e87311f7e4117c1cc8"},
+    {file = "tokenizers-0.22.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:790bad50a1b59d4c21592f9c3cf5e5cf9c3c7ce7e1a23a739f13e01fb1be377a"},
+    {file = "tokenizers-0.22.0-cp39-abi3-musllinux_1_2_armv7l.whl", hash = "sha256:76cf6757c73a10ef10bf06fa937c0ec7393d90432f543f49adc8cab3fb6f26cb"},
+    {file = "tokenizers-0.22.0-cp39-abi3-musllinux_1_2_i686.whl", hash = "sha256:1626cb186e143720c62c6c6b5371e62bbc10af60481388c0da89bc903f37ea0c"},
+    {file = "tokenizers-0.22.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:da589a61cbfea18ae267723d6b029b84598dc8ca78db9951d8f5beff72d8507c"},
+    {file = "tokenizers-0.22.0-cp39-abi3-win32.whl", hash = "sha256:dbf9d6851bddae3e046fedfb166f47743c1c7bd11c640f0691dd35ef0bcad3be"},
+    {file = "tokenizers-0.22.0-cp39-abi3-win_amd64.whl", hash = "sha256:c78174859eeaee96021f248a56c801e36bfb6bd5b067f2e95aa82445ca324f00"},
+    {file = "tokenizers-0.22.0.tar.gz", hash = "sha256:2e33b98525be8453f355927f3cab312c36cd3e44f4d7e9e97da2fa94d0a49dcb"},
 ]
 
 [package.dependencies]
@@ -5569,7 +5594,7 @@ huggingface-hub = ">=0.16.4,<1.0"
 [package.extras]
 dev = ["tokenizers[testing]"]
 docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
-testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
+testing = ["black (==22.3)", "datasets", "numpy", "pytest", "pytest-asyncio", "requests", "ruff"]
 
 [[package]]
 name = "toml"
@@ -5749,74 +5774,76 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
 
 [[package]]
 name = "transformers"
-version = "4.51.3"
+version = "4.56.1"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.9.0"
 groups = ["main"]
 files = [
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 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.30.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "tqdm (>=4.27)"]
+torchhub = ["filelock", "huggingface-hub (>=0.34.0,<1.0)", "importlib_metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.22.0,<=0.23.0)", "torch (>=2.2)", "tqdm (>=4.27)"]
 video = ["av"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
@@ -6505,4 +6532,4 @@ full = ["ebooklib", "mammoth", "openpyxl", "python-pptx", "weasyprint"]
 [metadata]
 lock-version = "2.1"
 python-versions = "^3.10"
-content-hash = "1ac291f5af0c2aafad6e5dbb13b4eba9628070f6f5310630a870dd45b70ccecf"
+content-hash = "ca3704b625f021f3b09ad23df31ad3b48de68b2bf0df0fc144babcb6f5010767"

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "marker-pdf"
-version = "1.9.2"
+version = "1.9.3"
 description = "Convert documents to markdown with high speed and accuracy."
 authors = ["Vik Paruchuri <github@vikas.sh>"]
 readme = "README.md"
@@ -26,7 +26,7 @@ torch = "^2.7.0"
 tqdm = "^4.66.1"
 ftfy = "^6.1.1"
 rapidfuzz = "^3.8.1"
-surya-ocr = "^0.16.0"
+surya-ocr = "^0.16.7"
 regex = "^2024.4.28"
 pdftext = "~0.6.3"
 markdownify = "^1.1.0"