Table Extraction from PDF ========================= This section describes two methods for extracting tables from PDF files. .. note:: To extract tables from any documents, set the ``strategy`` parameter to ``hi_res`` for both methods below. Method 1: Using `partition_pdf` ------------------------------- To extract the tables from PDF files using the `partition_pdf `__, set the ``infer_table_structure`` parameter to ``True`` and ``strategy`` parameter to ``hi_res``. **Usage** .. code-block:: python from unstructured.partition.pdf import partition_pdf fname = "example-docs/layout-parser-paper.pdf" elements = partition_pdf(filename=fname, infer_table_structure=True, strategy='hi_res', ) tables = [el for el in elements if el.category == "Table"] print(tables[0].text) print(tables[0].metadata.text_as_html) Method 2: Using Auto Partition or Unstructured API -------------------------------------------------- By default, table extraction from all file types is enabled. To extract tables from PDFs and images using `Auto Partition `__ or `Unstructured API parameters `__ simply set ``strategy`` parameter to ``hi_res``. **Usage: Auto Partition** .. code-block:: python from unstructured.partition.auto import partition filename = "example-docs/layout-parser-paper.pdf" elements = partition(filename=filename, strategy='hi_res', ) tables = [el for el in elements if el.category == "Table"] print(tables[0].text) print(tables[0].metadata.text_as_html) **Usage: API Parameters** .. code-block:: bash curl -X 'POST' \ 'https://api.unstructured.io/general/v0/general' \ -H 'accept: application/json' \ -H 'Content-Type: multipart/form-data' \ -F 'files=@sample-docs/layout-parser-paper-with-table.jpg' \ -F 'strategy=hi_res' \ | jq -C . | less -R