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É possível converter faturas em dados estruturados no Cloud Data Fusion
usando o plug-in Analisador de faturas, que tem a tecnologia do Document AI. Os
dados estruturados são armazenados no BigQuery.
Verifique se a instância que você procura foi atualizada para a versão 6.4.1 ou
posterior. Para versões anteriores, faça upgrade da instância.
Clique em Visualizar instância.
A IU do Cloud Data Fusion é aberta.
Clique em Hub.
Clique em GCP e implante Plug-ins do GCP.
Clique em DocAI e implante os plug-ins do Doc AI.
Clique no Guia de início rápido do analisador de fatura>Criar.
Personalize o pipeline inserindo o ID do processador do analisador de faturas,
o caminho do bucket do Cloud Storage e os detalhes da tabela do BigQuery.
Implante e execute o pipeline.
As faturas analisadas são armazenadas na tabela de saída no BigQuery.
Os metadados das faturas são armazenados na tabela Metadata e incluem
o status da análise, o caminho do Cloud Storage e o carimbo de data/hora do upload da fatura
bruta. Os registros nas tabelas de saída e metadados podem ser mesclados com a
chave invoice_uuid.
[[["Fácil de entender","easyToUnderstand","thumb-up"],["Meu problema foi resolvido","solvedMyProblem","thumb-up"],["Outro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Informações incorretas ou exemplo de código","incorrectInformationOrSampleCode","thumb-down"],["Não contém as informações/amostras de que eu preciso","missingTheInformationSamplesINeed","thumb-down"],["Problema na tradução","translationIssue","thumb-down"],["Outro","otherDown","thumb-down"]],["Última atualização 2025-09-04 UTC."],[[["\u003cp\u003eThe Invoice Parser plugin in Cloud Data Fusion, powered by Document AI, allows you to convert invoices into structured data.\u003c/p\u003e\n"],["\u003cp\u003eParsed data from invoices is stored in BigQuery, with invoice metadata stored in a separate table for additional information.\u003c/p\u003e\n"],["\u003cp\u003eTo use the Invoice Parser plugin, you must have a Cloud Data Fusion instance running version 6.4.1 or later and you need to have created an Invoice Parser processor in Document AI.\u003c/p\u003e\n"],["\u003cp\u003eThe pipeline is customizable, allowing you to specify the Invoice Parser processor ID, Cloud Storage bucket path, and BigQuery table details during configuration.\u003c/p\u003e\n"]]],[],null,["# Parse invoices\n\nYou can convert invoices into structured data in Cloud Data Fusion\nusing the Invoice Parser plugin, which is powered by Document AI. The\nstructured data gets stored in BigQuery.\n\nBefore you begin\n----------------\n\nTo parse invoices, you need a Cloud Data Fusion instance running in\nversion 6.4.1 or later. For more information, see\n[Upgrading Cloud Data Fusion instances](/data-fusion/docs/how-to/upgrading#upgrade-instances).\n\nCreate a processor\n------------------\n\n1. In the Google Cloud console, go to the Document AI **Processors**\n page.\n\n [Go to Processors](https://console.cloud.google.com/ai/document-ai/processors)\n2. [Create a processor](/document-ai/docs/create-processor). Select **Invoice\n parser** as the type of processor.\n\n | **Note:** When you create the processor, copy the processor ID for your plugin configurations.\n\nConfigure the invoice parser plugin\n-----------------------------------\n\n1. In the Google Cloud console, go to the Cloud Data Fusion **Instances**\n page.\n\n [Go to Instances](https://console.cloud.google.com/data-fusion/locations/-/instances)\n2. Ensure that the desired instance has been upgraded to version 6.4.1 or\n later. For earlier versions, [upgrade the instance](/data-fusion/docs/how-to/upgrading).\n\n3. Click **View instance**.\n The Cloud Data Fusion UI opens.\n\n4. Click **Hub**.\n\n5. Click **GCP** , and then deploy **GCP Plugins**.\n\n6. Click **DocAI** , and then deploy the **Doc AI Plugins**.\n\n7. Click the **Invoice Parser Quickstart** \\\u003e **Create**.\n\n8. Customize your pipeline by entering the Invoice Parser processor ID,\n Cloud Storage bucket path, and BigQuery table details.\n\n9. Deploy and run the pipeline.\n\nParsed invoices are stored in the output table in BigQuery.\nMetadata from the invoices is stored in the `Metadata` table and includes\nparsing status, Cloud Storage path, and upload timestamp of the raw\ninvoice. Records in the output and metadata tables can be joined with the\n`invoice_uuid` key."]]
