gcloud alpha ml vision detect-document - detect dense text in an image

gcloud alpha ml vision detect-documentIMAGE_PATH[--language-hints=[LANGUAGE_HINTS,…]][--model-version=MODEL_VERSION; default="builtin/stable"][GCLOUD_WIDE_FLAG …]

Google Cloud Vision uses OCR (Optical Character Recognition) to analyze text.This is a premium feature for dense text such as books, research reports, andPDFs. To detect small amounts of text such as on signs, usedetect-text instead. For more information on this feature, see theGoogle Cloud Vision documentation athttps://cloud.google.com/vision/docs/.

Language hints can be provided to Google Cloud Vision API. In most cases, anempty value yields the best results since it enables automatic languagedetection. For languages based on the Latin alphabet, settinglanguage_hints is not needed. Text detection returns an error ifone or more of the specified languages is not one of the supported languages.(See https://cloud.google.com/vision/docs/languages.) To provide language hintsrun:

gcloudalphamlvisiondetect-document--language-hintsja,ko

IMAGE_PATH

Path to the image to be analyzed. This can be either a local path or a URL. Ifyou provide a local file, the contents will be sent directly to Google CloudVision. If you provide a URL, it must be in Google Cloud Storage format(gs://bucket/object) or an HTTP URL (http://... orhttps://…)

--language-hints=[LANGUAGE_HINTS,…]

List of languages to use for text detection.

--model-version=MODEL_VERSION; default="builtin/stable"

Model version to use for the feature.MODEL_VERSION mustbe one of:builtin/latest,builtin/stable.

Run$gcloud help for details.