# ∞ PDF ## Documentation - Class name: `LLMPDFReader` - Category: `SALT/Language Toolkit/Readers` - Output node: `False` The LLMPDFReader node is designed to read PDF files and convert them into a llama_index Document format, excluding embedded images. This functionality enables the extraction and processing of text data from PDF documents for further analysis or manipulation. ## Input types ### Required - **`path`** - Specifies the file system path to the PDF file to be read. It is essential for locating and accessing the file for processing. - Comfy dtype: `STRING` - Python dtype: `str` ### Optional - **`extra_info`** - Provides additional, optional information in a string format that can be used to influence the reading process or handle specific requirements. - Comfy dtype: `STRING` - Python dtype: `str` ## Output types - **`documents`** - Comfy dtype: `DOCUMENT` - Returns the content of the PDF file as a llama_index Document, facilitating further data manipulation or analysis. - Python dtype: `tuple` ## Usage tips - Infra type: `CPU` - Common nodes: unknown ## Source code ```python class LLMPDFReader(PDFReader): """ @NOTE: Reads PDF files into a llama_index Document, currently doesn't support embedded images @Source: https://github.com/run-llama/llama_index/blob/main/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/docs/base.py @Documentation: https://docs.llamaindex.ai/en/latest/api_reference/readers/file/#llama_index.readers.file.PDFReader """ def __init__(self): super().__init__() @classmethod def INPUT_TYPES(cls): return { "required": { "path": ("STRING", {"default": ""}), }, "optional": { "extra_info": ("STRING", {"multiline": True, "dynamicPrompts": False, "default": "{}"}), } } RETURN_TYPES = ("DOCUMENT", ) RETURN_NAMES = ("documents",) FUNCTION = "execute" CATEGORY = f"{MENU_NAME}/{SUB_MENU_NAME}/Readers" def execute(self, path:str, extra_info:str, fs = None): get_full_path(1, path) if not os.path.exists(path): raise FileNotFoundError(f"No file available at: {path}") path = Path(path) extra_info = read_extra_info(extra_info) data = self.load_data(path, extra_info) return (data, ) ```