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The following products share capabilities with Document AI. However,
these products perform a specific text and analysis function. Depending on your
use case, these products might provide the specific capabilities you need.
Convert images to text
You can convert content in images to text using either:
With document plain text and running OCR beforehand, you can categorize and label
documents using the following products:
The pretrained Natural Language API helps you classify content using a generalized
list of categories.
Use AutoML Natural Language classification to create a custom machine learning model,
and classify content with your own category labels.
While there may be exceptions, AutoML Vision classification is not
generally recommended for document classification because its tends to be less
accurate than text-based methods. However, you can use it for classifying image content.
This is not generally a recommended method for classification of documents, as its accuracy tends to be less than text based methods, but there may be exceptions
You can identify known entities in documents (proper nouns such as public
figures, company branding, and so on) and entities that follow common patterns
such as phone numbers and addresses with using
Form Parser or any of the
pretrained processors for your use case.
You can also use the Natural Language API to identify common, public entities.
AutoML Natural Language products are for entity extraction. Use them to create a custom machine learning model to identify entities specific to your company or use case.
Integrate these complimentary products with Document AI to create a
complete document processing and analysis solution.
Vertex AI: Brings AutoML and AI Platform together into a unified API, client library, and platform.
Cloud Translation API: Dynamically translates text between thousands of language pairs through pretrained models. Provides a document translation API for directly translating documents in formats such as PDF and DOCX. See Translate documents.
Workflows: Combines Google Cloud services and APIs to build reliable applications, process automation, and data and machine learning pipelines.
AppSheet Automation: Creates custom automations and applications with an open cloud.
Drive scanner by Google Drive: The Google Drive Android app lets you scan and upload documents to Google Drive and offers intelligent title suggestions powered by Document AI.
Google Translate: This service instantly translates words, phrases, and web pages between English and over 100 other languages.
Find a partner
Take advantage of our growing partner ecosystem to help you create and manage
your document analysis solution. For a list of partners and the
services that they provide, see
Document AI partners.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-29 UTC."],[[["\u003cp\u003eDocument AI shares capabilities with other products that perform specific text and analysis functions, which might be more suitable depending on the use case.\u003c/p\u003e\n"],["\u003cp\u003eImages can be converted to text using Enterprise Document OCR or Cloud Vision API's text detection features, including handwriting and PDF/TIFF document text.\u003c/p\u003e\n"],["\u003cp\u003eDocuments can be classified by utilizing pretrained Natural Language API or custom AutoML Natural Language classification, but image classification methods are generally less accurate for documents.\u003c/p\u003e\n"],["\u003cp\u003eEntities, including common and custom-specific ones, can be identified within documents using Form Parser, pretrained processors, Natural Language API, or AutoML Natural Language entity extraction.\u003c/p\u003e\n"],["\u003cp\u003eSeveral complementary products, such as Vertex AI, Cloud Translation API, and Workflows, can integrate with Document AI to provide a comprehensive document processing and analysis solution.\u003c/p\u003e\n"]]],[],null,["# Related Google Cloud products\n\nThe following products share capabilities with Document AI. However,\nthese products perform a specific text and analysis function. Depending on your\nuse case, these products might provide the specific capabilities you need.\n\nConvert images to text\n----------------------\n\nYou can convert content in images to text using either:\n\n- [Enterprise Document OCR](/document-ai/docs/processors-list#processor_doc-ocr).\n- [Cloud Vision API](/vision) (using the `TEXT_DETECTION` or `DOCUMENT_TEXT_DETECTION` enums). See:\n\n - [Cloud Vision API Quickstarts](/vision/docs/quickstarts)\n\n - [Detect text (OCR)](/vision/docs/ocr)\n\n - [Detect handwriting (OCR)](/vision/docs/handwriting)\n\n - [PDF/TIFF Document text detection](/vision/docs/pdf)\n\nDetect visual artifacts\n-----------------------\n\nYou can use [AutoML Vision object detection](/vertex-ai/docs/training-overview#object_detection_for_images) to\nconvert sections of images into text documents. For details, see [Image data](/vertex-ai/docs/start/automl-model-types#image).\n\nClassify documents\n------------------\n\nWith document plain text and running OCR beforehand, you can categorize and label\ndocuments using the following products:\n\n- The pretrained Natural Language API helps you classify content using a generalized list of categories.\n- Use AutoML Natural Language classification to create a custom machine learning model, and classify content with your own category labels.\n- While there may be exceptions, AutoML Vision classification is not\n generally recommended for document classification because its tends to be less\n accurate than text-based methods. However, you can use it for classifying image content.\n\n - This is not generally a recommended method for classification of documents, as its accuracy tends to be less than text based methods, but there may be exceptions\n\nAnalyze and extract entities\n----------------------------\n\nYou can identify known entities in documents (proper nouns such as public\nfigures, company branding, and so on) and entities that follow common patterns\nsuch as phone numbers and addresses with using\n[Form Parser](/document-ai/docs/processors-list#processor_form-parser) or any of the\n[pretrained processors](/document-ai/docs/processor-overview) for your use case.\n\n- You can also use the Natural Language API to identify common, public entities.\n- AutoML Natural Language products are for entity extraction. Use them to create a custom machine learning model to identify entities specific to your company or use case.\n\nOther products\n--------------\n\nIntegrate these complimentary products with Document AI to create a\ncomplete document processing and analysis solution.\n\n- [Vertex AI](/vertex-ai): Brings AutoML and AI Platform together into a unified API, client library, and platform.\n- [Cloud Translation API](/translate/docs): Dynamically translates text between thousands of language pairs through pretrained models. Provides a document translation API for directly translating documents in formats such as PDF and DOCX. See [Translate documents](/translate/docs/advanced/translate-documents).\n- [Workflows](/workflows): Combines Google Cloud services and APIs to build reliable applications, process automation, and data and machine learning pipelines.\n- [AppSheet Automation](/appsheet/automation): Creates custom automations and applications with an open cloud.\n- [Drive scanner by Google Drive](https://support.google.com/drive/answer/3145835?&co=GENIE.Platform%3DAndroid): The Google Drive Android app lets you scan and upload documents to Google Drive and offers intelligent title suggestions powered by Document AI.\n- [Google Translate](https://translate.google.com/): This service instantly translates words, phrases, and web pages between English and over 100 other languages.\n\nFind a partner\n--------------\n\nTake advantage of our growing partner ecosystem to help you create and manage\nyour document analysis solution. For a list of partners and the\nservices that they provide, see\n[Document AI partners](https://cloud.google.com/find-a-partner/).\n\nWhat's next?\n------------\n\n- Learn how to [set up](/document-ai/docs/setup) Document AI.\n- Find specific guides in [How-to](/document-ai/docs/how-to)."]]
