Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Memproses dokumen dengan Form Parser
Form Parser mengekstrak pasangan nilai kunci (KVP), tabel, tanda pilihan (seperti kotak centang),
kolom umum, dan teks untuk meningkatkan dan mengotomatiskan pemrosesan dokumen.
Parser Formulir dapat dipertimbangkan daripada parser lainnya jika kasus penggunaan melibatkan:
Menangani formulir terstruktur: Model ini unggul dalam mengekstrak KVP dari
formulir yang terdefinisi dengan baik yang terlihat seperti formulir konvensional dengan bagian kosong berlabel untuk diisi, seperti name: __. Model terlatih Form Parser menawarkan akurasi tinggi untuk kolom umum seperti nama, tanggal, dan alamat.
Ekstraksi tabel fleksibel diperlukan: Form Parser mengekstrak dari tabel sederhana (tanpa sel yang mencakup baris atau kolom) yang terlihat seperti tabel. Tidak ada pelatihan
yang diperlukan (atau memungkinkan). Untuk ekstraksi tabel terlatih, ekstraktor kustom dapat
digunakan dengan kolom yang berisi kolom (sel) turunan bidang induk.
Membutuhkan efisiensi: Hindari pembuatan dan pemeliharaan parser ekstraksi, terutama untuk tugas ekstraksi bervolume tinggi dan beragam.
Fitur ekstraksi data
Fitur Form Parser meliputi:
KVP: Ini adalah kumpulan dua item dalam dokumen—label atau kunci dan data yang sesuai (nilai). Anda dapat langsung menggunakan KVP (jika kuncinya konsisten)
atau membuat logika kustom untuk menyelesaikan berbagai kunci menjadi informasi terstruktur yang konsisten.
Entitas generik: Mengurai 11 kolom berbeda dari dokumen secara langsung. Fitur tersebut meliputi:
email
phone
url
date_time
address
person
organization
quantity
price
id
page_number
Teks dan tata letak: Gunakan mesin OCR terbaru kami untuk mengekstrak informasi teks dan tata letak. Hal ini mencakup teks yang disematkan dari PDF digital (khusus v2.1) atau teks dari gambar.
Tabel: Mendeteksi dan mengekstrak tabel dari gambar dan PDF.
Kotak centang: Detektor tanda pilihan berkualitas tinggi, yang mengekstrak kotak centang
dari gambar dan output PDF sebagai KVP, menggunakan teks terdekat dengan kotak centang, dengan valueType
yang menunjukkan apakah kotak tersebut terisi atau tidak.
Versi prosesor berikut kompatibel dengan fitur ini. Untuk mengetahui informasi selengkapnya, lihat Mengelola versi pemroses.
Batasan
Kompresi JPEG sebelumnya untuk TIFF tidak didukung. Jenis enkapsulasi JPEG yang ditentukan oleh spesifikasi versi 6.0 TIFF.
Model kotak centang tidak mendukung penguraian tombol pilihan. Beberapa kotak centang yang terdeteksi mungkin tidak memiliki kunci yang sesuai.
Model tidak dapat mengurai KVP dengan nilai yang tidak terisi secara andal, seperti formulir kosong.
Penguraian KVP pada dokumen dalam bahasa tertentu mungkin memiliki kualitas yang lebih rendah daripada bahasa Latin.
Memproses dokumen dengan Form Parser
Panduan memulai ini memperkenalkan fitur Form Parser di Document AI. Dalam panduan memulai ini,
Anda akan menggunakan Google Cloud konsol untuk menyiapkan Google Cloud project dan
otorisasi, membuat Parser Formulir, lalu membuat permintaan agar
Document AI memproses formulir PDF.
Pelajari cara:
Aktifkan Document AI di project Google Cloud .
Buat pemroses Form Parser, yang dapat mengidentifikasi dan mengekstrak teks, pasangan nilai kunci, tabel, dan entity umum dari berbagai jenis dokumen.
Gunakan pemroses untuk membuat anotasi pada dokumen contoh.
Untuk mengikuti panduan langkah demi langkah tugas ini langsung di
Google Cloud konsol, klik Pandu saya:
Sign in to your Google Cloud account. If you're new to
Google Cloud,
create an account to evaluate how our products perform in
real-world scenarios. New customers also get $300 in free credits to
run, test, and deploy workloads.
In the Google Cloud console, on the project selector page,
select or create a Google Cloud project.
File ini adalah file PDF yang berisi contoh formulir penerimaan medis tulisan tangan. Dokumen ini disimpan di bucket Cloud Storage yang dapat diakses secara publik.
Klik tombol
Upload Test Document, lalu pilih dokumen yang baru saja Anda download.
Anda akan berada di halaman Analisis Pengurai Formulir. Anda dapat melihat teks yang terdeteksi OCR, pasangan kunci-nilai, tabel, dan entity generik yang diekstrak dari dokumen.
Pembersihan
Untuk menghindari biaya yang tidak perlu, gunakan
Google Cloud console untuk menghapus prosesor dan project jika Anda tidak memerlukannya. Google Cloud
[[["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 2025-09-02 UTC."],[[["\u003cp\u003eForm Parser is a pre-trained tool that extracts key-value pairs, tables, selection marks, generic entities, and text from documents, suitable for structured forms and flexible table extraction.\u003c/p\u003e\n"],["\u003cp\u003eIt can parse and return data for 11 different generic entities, such as email, phone, address, person, organization, price and date_time, and can also extract data from checkboxes, and tables.\u003c/p\u003e\n"],["\u003cp\u003eForm Parser supports over 200 languages and offers feature support in eight regions, but it cannot be up-trained, and it cannot process radio buttons, nor extract data from blank or empty values.\u003c/p\u003e\n"],["\u003cp\u003eYou can create a Form Parser processor through the Google Cloud console, and then test it using the test document option with a sample PDF file to see the resulting extractions.\u003c/p\u003e\n"],["\u003cp\u003eThe Form Parser tool is designed to be efficient, eliminating the need to build and maintain custom extraction parsers for various high volume form document processing.\u003c/p\u003e\n"]]],[],null,["# Form Parser\n\nProcess documents with Form Parser\n==================================\n\nForm Parser extracts key-value pairs (KVPs), tables, selection marks (like checkboxes),\ngeneric fields, and text to augment and automate document processing.\n| **Note:** Form Parser is pre-trained and cannot be up-trained.\n\nForm Parser can be considered over the other parsers when the use case involves:\n\n- Dealing with structured forms: It excels at extracting KVPs from well-defined forms that look like conventional forms with labeled blanks to fill in, such as `name: __`. Form Parser's pre-trained model offers high accuracy for common fields like names, dates, and addresses.\n- Flexible table extraction is needed: Form Parser extracts from simple (no cells that span rows or columns) tables that look like tables. No training is needed (nor possible). For trained table extraction, the custom extractor can be used with a parent field containing column (cell) child fields.\n- Need efficiency: Avoid building and maintaining extraction parsers, especially for high-volume and varied forms of extraction tasks.\n\nData-extraction features\n------------------------\n\nForm Parser features encompass:\n\n- **KVP:** These are sets of two items within a document---a label or key and its\n corresponding data (a value). You can directly use KVPs (if the keys are consistent)\n or build custom logic to resolve varied keys into consistent structured information.\n\n- **Generic entities:** Parse 11 different fields from documents out of the box. These include:\n\n - `email`\n - `phone`\n - `url`\n - `date_time`\n - `address`\n - `person`\n - `organization`\n - `quantity`\n - `price`\n - `id`\n - `page_number`\n- **Text and layout:** Use our latest OCR engine to extract text and layout\n information. This includes embedded text from digital PDFs (v2.1 only) or text from images.\n\n- **Tables:** Detect and extract tables from images and PDFs.\n\n- **Checkboxes:** A high-quality selection mark detector, which extracts checkboxes\n from images and PDF output as KVP, using the text nearest the checkbox, with a `valueType`\n indicating whether it is filled or unfilled.\n\nLanguages and regions\n---------------------\n\n- Form Parser 2.0 supports over 200 languages. [Learn more](/document-ai/docs/processors-list#expandable-1).\n- We provide feature support in eight regions. [Learn more](/document-ai/docs/regions).\n\nModel versions\n--------------\n\nThe following processor versions are compatible with this feature. For more\ninformation, see [Managing processor versions](/document-ai/docs/manage-processor-versions).\n\nLimitations\n-----------\n\n- Prior JPEG compressions for TIFF are unsupported. Type of JPEG encapsulation defined by the TIFF [version 6.0 specification](https://gitlab.com/libtiff/libtiff/-/commit/f0a54a4fa0cfa377f493d57ee2af393005d5bbe5).\n\n- The checkbox model doesn't support parsing radio buttons. Some detected checkboxes might not have corresponding keys.\n\n- The model doesn't reliably parse a KVP with an unfilled value, such as a blank form.\n\n- The KVP parsing on documents in certain languages may have lower quality than Latin languages.\n\n\u003cbr /\u003e\n\nProcess documents with Form Parser\n----------------------------------\n\nThis quickstart introduces you to the Form Parser feature in Document AI. In this quickstart,\nyou use the Google Cloud console to set up your Google Cloud project and\nauthorization, create a Form Parser, and then make a request for\nDocument AI to process a PDF form.\n\nLearn how to:\n\n1. Enable Document AI in a Google Cloud project.\n\n2. Create a Form Parser processor, which can identify\n and extract text, key-value pairs, tables, and generic entities from many types of documents.\n\n3. Use the processor to annotate a sample document.\n\n*** ** * ** ***\n\nTo follow step-by-step guidance for this task directly in the\nGoogle Cloud console, click **Guide me**:\n\n[Guide me](https://console.cloud.google.com/ai/document-ai?tutorial=document-ai--documentai_form_parser_console)\n\n*** ** * ** ***\n\n- Sign in to your Google Cloud account. If you're new to Google Cloud, [create an account](https://console.cloud.google.com/freetrial) to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.\n- In the Google Cloud console, on the project selector page,\n select or create a Google Cloud project.\n\n | **Note**: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.\n\n [Go to project selector](https://console.cloud.google.com/projectselector2/home/dashboard)\n-\n [Verify that billing is enabled for your Google Cloud project](/billing/docs/how-to/verify-billing-enabled#confirm_billing_is_enabled_on_a_project).\n\n-\n\n\n Enable the Document AI API.\n\n\n [Enable the API](https://console.cloud.google.com/flows/enableapi?apiid=documentai.googleapis.com)\n\n- In the Google Cloud console, on the project selector page,\n select or create a Google Cloud project.\n\n | **Note**: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.\n\n [Go to project selector](https://console.cloud.google.com/projectselector2/home/dashboard)\n-\n [Verify that billing is enabled for your Google Cloud project](/billing/docs/how-to/verify-billing-enabled#confirm_billing_is_enabled_on_a_project).\n\n-\n\n\n Enable the Document AI API.\n\n\n [Enable the API](https://console.cloud.google.com/flows/enableapi?apiid=documentai.googleapis.com)\n\nCreate a Form Parser processor\n------------------------------\n\nUse the Google Cloud console to create a Form Parser processor. See [creating and managing processors](/document-ai/docs/create-processor) for more information.\n\n1. In the Google Cloud console navigation menu, click **Document AI** and\n select **Processor Gallery**.\n\n [Processor\n Gallery](https://console.cloud.google.com/ai/document-ai/processor-library)\n2. In the **Processor Gallery** ,\n search for\n **Form Parser** and select **Create**.\n\n\n3. In the side window, enter a **Processor name** , such as `quickstart-form-processor`.\n\n4. Select the region closest to you.\n\n5. Click the **Create** button.\n\nYou're taken to the **Processor Details** page of your new form parser processor.\n\nTest processor\n--------------\n\nAfter creating your processor, you can send annotation requests to it.\n\n1. [Download the sample document](https://storage.googleapis.com/cloud-samples-data/documentai/GeneralProcessors/FormParser/intake-form.pdf).\n\n It's a PDF file containing a sample handwritten medical intake form. This document is stored in a publicly accessible Cloud Storage bucket.\n2. Click the\n **Upload Test Document** button and select the document you just downloaded.\n\n3. You should now be on the **Form Parser analysis** page. You can view the OCR detected text, key-value pairs, tables, and generic entities extracted from the document.\n\n\nClean up\n--------\n\nTo avoid unnecessary Google Cloud charges, use the\n[Google Cloud console](https://console.cloud.google.com/) to delete your processor and [project](https://console.cloud.google.com/cloud-resource-manager) if you don't need\nthem.\n\nWhat's next\n-----------\n\n- Review the [Processors list](/document-ai/docs/processors-list)."]]
