Toolbox: Cómo dividir un PDF
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Divide un archivo PDF según el resultado de un procesador de Splitter/Classifier.
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Para obtener documentación en la que se incluye esta muestra de código, consulta lo siguiente:
Muestra de código
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[[["Fácil de comprender","easyToUnderstand","thumb-up"],["Resolvió mi problema","solvedMyProblem","thumb-up"],["Otro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Información o código de muestra incorrectos","incorrectInformationOrSampleCode","thumb-down"],["Faltan la información o los ejemplos que necesito","missingTheInformationSamplesINeed","thumb-down"],["Problema de traducción","translationIssue","thumb-down"],["Otro","otherDown","thumb-down"]],[],[[["\u003cp\u003eThis content demonstrates how to split a PDF file using output from a Document AI Splitter/Classifier processor.\u003c/p\u003e\n"],["\u003cp\u003eThe process involves utilizing the \u003ccode\u003edocumentai_toolbox\u003c/code\u003e library in Python to handle the document splitting operation.\u003c/p\u003e\n"],["\u003cp\u003eYou will need to set up Application Default Credentials for authentication with Document AI to run this code successfully.\u003c/p\u003e\n"],["\u003cp\u003eThe code provided takes a \u003ccode\u003edocument.proto\u003c/code\u003e, or sharded \u003ccode\u003edocument.proto\u003c/code\u003e, along with a \u003ccode\u003epdf\u003c/code\u003e and splits the PDF file based on the provided parameters, and outputs the new files to the user defined path.\u003c/p\u003e\n"],["\u003cp\u003eFor further information, including how to authenticate, and reference documentation, see the provided links.\u003c/p\u003e\n"]]],[],null,["# Toolbox - Split a PDF\n\nSplit a PDF file based on output from a Splitter/Classifier processor.\n\nExplore further\n---------------\n\n\nFor detailed documentation that includes this code sample, see the following:\n\n- [Document AI Toolbox client libraries](/document-ai/docs/toolbox)\n- [Document splitters behavior](/document-ai/docs/splitters)\n- [Handle processing response](/document-ai/docs/handle-response)\n- [Splitters behavior](/document-ai/docs/splitters-behavior)\n\nCode sample\n-----------\n\n### Python\n\n\nFor more information, see the\n[Document AI Python API\nreference documentation](/python/docs/reference/documentai/latest).\n\n\nTo authenticate to Document AI, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n\n from google.cloud.documentai_toolbox import document\n\n # TODO(developer): Uncomment these variables before running the sample.\n # Given a local document.proto or sharded document.proto from a splitter/classifier in path\n # document_path = \"path/to/local/document.json\"\n # pdf_path = \"path/to/local/document.pdf\"\n # output_path = \"resources/output/\"\n\n\n def split_pdf_sample(document_path: str, pdf_path: str, output_path: str) -\u003e None:\n wrapped_document = document.Document.from_document_path(document_path=document_path)\n\n output_files = wrapped_document.split_pdf(\n pdf_path=pdf_path, output_path=output_path\n )\n\n print(\"Document Successfully Split\")\n for output_file in output_files:\n print(output_file)\n\nWhat's next\n-----------\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=documentai)."]]
