Tugas Doc AI - Batch Process memungkinkan Anda mengirim satu permintaan batch (asinkron) ke pemroses Document AI untuk memproses beberapa dokumen. Kemudian, Document AI memulai operasi yang berjalan lama (LRO) dan menyimpan hasil yang diproses dalam bucket Cloud Storage. Pemroses Document AI adalah komponen Cloud Document AI yang melakukan berbagai tindakan pemrosesan dokumen seperti mengklasifikasikan, memisahkan, mengurai, atau menganalisis dokumen.
Cloud Document AI adalah layanan Google Cloud yang memungkinkan Anda mem-parsing informasi terstruktur dari dokumen tidak terstruktur atau semi-terstruktur menggunakan AI Google canggih seperti natural language, computer vision, translation, dan AutoML.
Sebelum memulai
Pastikan Anda melakukan tugas berikut di project Google Cloud sebelum mengonfigurasi tugas Doc AI - Batch Process:
Aktifkan Cloud Document AI API (documentai.googleapis.com).
Halaman Integrasi akan muncul dan mencantumkan semua integrasi yang tersedia di project Google Cloud.
Pilih integrasi yang ada atau klik Buat integrasi untuk membuat integrasi baru.
Jika Anda membuat integrasi baru:
Masukkan nama dan deskripsi di panel Buat Integrasi.
Pilih region untuk integrasi.
Pilih akun layanan untuk integrasi. Anda dapat mengubah atau memperbarui detail akun layanan integrasi kapan saja dari panel infoRingkasan integrasi di toolbar integrasi.
Klik Buat. Integrasi yang baru dibuat akan terbuka di editor integrasi.
Di menu navigasi editor integrasi, klik Tugas untuk melihat daftar tugas dan konektor yang tersedia.
Klik dan tempatkan elemen Doc AI - Batch Process di editor integrasi.
Klik elemen Doc AI - Batch Process di perancang untuk melihat panel konfigurasi tugas Doc AI - Batch Process.
Buka Authentication, lalu pilih profil autentikasi yang ada yang ingin Anda gunakan.
Opsional. Jika Anda belum membuat profil autentikasi sebelum mengonfigurasi tugas, klik + Profil autentikasi baru dan ikuti langkah-langkah seperti yang disebutkan dalam Membuat profil autentikasi baru.
Buka Input Tugas, lalu konfigurasi kolom input yang ditampilkan menggunakan tabel Parameter input tugas berikut.
Perubahan pada kolom input akan disimpan secara otomatis.
Parameter input tugas
Tabel berikut menjelaskan parameter input tugas Doc AI - Batch Process:
Properti
Jenis data
Deskripsi
Wilayah
String
Lokasi Cloud Document AI untuk pemroses. Contoh: us - Amerika Serikat.
Strategi penanganan error untuk tugas menentukan tindakan yang harus dilakukan jika tugas gagal karena error sementara. Untuk mengetahui informasi tentang cara menggunakan strategi penanganan error, dan untuk mengetahui berbagai jenis strategi penanganan error, lihat Strategi penanganan error.
Kuota dan batas
Untuk mengetahui informasi tentang kuota dan batas, lihat Kuota dan batas.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-09-03 UTC."],[[["\u003cp\u003eThe \u003cstrong\u003eDoc AI - Batch Process\u003c/strong\u003e task allows you to send a single asynchronous request to a Document AI processor for processing multiple documents, storing the results in Cloud Storage.\u003c/p\u003e\n"],["\u003cp\u003eThis task requires enabling the Cloud Document AI API and creating an authentication profile with specific IAM permissions (\u003ccode\u003edocumentai.processors.processBatch\u003c/code\u003e and \u003ccode\u003edocumentai.processorVersions.processBatch\u003c/code\u003e).\u003c/p\u003e\n"],["\u003cp\u003eConfiguring the task involves selecting an authentication profile and defining input parameters such as the Cloud Document AI region, project ID, processor ID, and the request JSON.\u003c/p\u003e\n"],["\u003cp\u003eThe batch task results in a long-running operation (LRO), and the output provides the name of this operation for tracking purposes.\u003c/p\u003e\n"],["\u003cp\u003eThe Doc AI Batch process is currently a Pre-GA feature, meaning it is available "as is" with limited support, as detailed in the Pre-GA Offerings Terms.\u003c/p\u003e\n"]]],[],null,["# Doc AI - Batch Process task\n\nSee the [supported connectors](/integration-connectors/docs/connector-reference-overview) for Application Integration.\n\nDoc AI - Batch Process task\n===========================\n\n|\n| **Preview**\n|\n|\n| This feature is subject to the \"Pre-GA Offerings Terms\" in the General Service Terms section\n| of the [Service Specific Terms](/terms/service-terms#1).\n|\n| Pre-GA features are available \"as is\" and might have limited support.\n|\n| For more information, see the\n| [launch stage descriptions](/products#product-launch-stages).\n\nThe **Doc AI - Batch Process** task lets you send a single batch (asynchronous) request to the Document AI processor to process multiple documents. Document AI then starts a long-running operation (LRO) and stores the processed results in a Cloud Storage bucket. The [Document AI processor](/document-ai/docs/overview#dai-processors) is a Cloud Document AI component that performs varies document processing actions such as, classify, split, parse or analysis of a document.\n\n\n[Cloud Document AI](https://cloud.google.com/document-ai/docs) is a Google Cloud service that allows you to parse structured information from unstructured or semi-structured documents using state-of-the-art Google AI such as natural language, computer vision, translation, and AutoML.\n\nBefore you begin\n----------------\n\nEnsure that you perform the following tasks in your Google Cloud project before configuring the **Doc AI - Batch Process** task:\n\n1. Enable the Cloud Document AI API (`documentai.googleapis.com`).\n\n\n [Enable the Cloud Document AI API](https://console.cloud.google.com/flows/enableapi?apiid=documentai.googleapis.com)\n2. Create an [authentication profile](/application-integration/docs/configuring-auth-profile#createAuthProfile). Application Integration uses an authentication profile to connect to an authentication endpoint for the **Doc AI - Batch Process** task. **Note:** If you're creating an authentication profile of [Service account](/application-integration/docs/configure-authentication-profiles#service-account) type, then ensure that the service account is assigned with the IAM role that contains the following IAM permission(s):\n | - `documentai.processors.processBatch`\n | - `documentai.processorVersions.processBatch`\n |\n | To know about IAM permissions and the predefined IAM roles that grant them, see [IAM permissions reference](/iam/docs/permissions-reference#search).\n |\n | For information about granting additional roles or permissions to a service account, see [Granting, changing, and revoking access](/iam/docs/granting-changing-revoking-access).\n\nConfigure the Doc AI - Batch Process task\n-----------------------------------------\n\n1. In the Google Cloud console, go to the **Application Integration** page.\n\n [Go to Application Integration](https://console.cloud.google.com/integrations)\n2. In the navigation menu, click **Integrations** .\n\n\n The **Integrations** page appears listing all the integrations available in the Google Cloud project.\n3. Select an existing integration or click **Create integration** to create a new one.\n\n\n If you are creating a new integration:\n 1. Enter a name and description in the **Create Integration** pane.\n 2. Select a region for the integration. **Note:** The **Regions** dropdown only lists the regions provisioned in your Google Cloud project. To provision a new region, click **Enable Region** . See [Enable new region](/application-integration/docs/enable-new-region) for more information.\n 3. Select a service account for the integration. You can change or update the service account details of an integration any time from the info **Integration summary** pane in the integration toolbar. **Note:** The option to select a service account is displayed only if you have enabled integration governance for the selected region.\n 4. Click **Create** . The newly created integration opens in the *integration editor*.\n\n\n4. In the *integration editor* navigation bar, click **Tasks** to view the list of available tasks and connectors.\n5. Click and place the **Doc AI - Batch Process** element in the integration editor.\n6. Click the **Doc AI - Batch Process** element on the designer to view the **Doc AI - Batch Process** task configuration pane.\n7. Go to **Authentication** , and select an existing authentication profile that you want to use.\n\n Optional. If you have not created an authentication profile prior to configuring the task, Click **+ New authentication profile** and follow the steps as mentioned in [Create a new authentication profile](/application-integration/docs/configuring-auth-profile#createAuthProfile).\n8. Go to **Task Input** , and configure the displayed inputs fields using the following [Task input parameters](#params) table.\n\n Changes to the inputs fields are saved automatically.\n\nTask input parameters\n---------------------\n\n\nThe following table describes the input parameters of the **Doc AI - Batch Process** task:\n\nTask output\n-----------\n\nThe **Doc AI - Batch Process** task returns the name of your long-running operation (LRO), similar to the following sample output: \n\n```\n{\n \"name\": \"projects/[PROJECT_ID]/locations/[LOCATION]/operations/[OPERATION_ID]\"\n}\n```\n\n\u003cbr /\u003e\n\nError handling strategy\n-----------------------\n\n\nAn error handling strategy for a task specifies the action to take if the task fails due to a [temporary error](/application-integration/docs/error-handling). For information about how to use an error handling strategy, and to know about the different types of error handling strategies, see [Error handling strategies](/application-integration/docs/error-handling-strategy).\n\nQuotas and limits\n-----------------\n\nFor information about quotas and limits, see [Quotas and limits](/application-integration/docs/quotas).\n\nWhat's next\n-----------\n\n- Add [edges and edge conditions](/application-integration/docs/edge-overview).\n- [Test and publish](/application-integration/docs/test-publish-integrations) your integration.\n- Configure a [trigger](/application-integration/docs/how-to-guides#configure-triggers).\n- Add a [Data Mapping task](/application-integration/docs/data-mapping-task).\n- See [all tasks for Google Cloud services](/application-integration/docs/how-to-guides#configure-tasks-for-google-cloud-services)."]]
