- release_tracks: [GA]

  help_text:
    brief: Detect dense text in an image.
    description: |
      Detect dense text in an image, such as books and research reports.

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

      {language_hints}
    language_hints: !COMMON help_text.language_hints

    examples: |
      To detect dense text in image 'gs://my_bucket/input_file':

        $ {command} gs://my_bucket/input_file

  request:
    _COMMON_: request
    static_fields:
      requests.features.type: DOCUMENT_TEXT_DETECTION

  response:
    _COMMON_: response

  arguments:
    params:
    - _COMMON_: args.image_field
    - _COMMON_: args.language_hints_field

  output:
    format: json

- release_tracks: [ALPHA, BETA]

  help_text:
    brief: Detect dense text in an image.
    description: |
      Detect dense text in an image, such as books and research reports.

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

      {language_hints}
    language_hints: !COMMON help_text.language_hints
    examples: |
      To detect dense text in image 'gs://my_bucket/input_file':

        $ {command} gs://my_bucket/input_file
  request:
    _COMMON_: request
    static_fields:
      requests.features.type: DOCUMENT_TEXT_DETECTION

  response:
    _COMMON_: response

  arguments:
    params:
    - _COMMON_: args.image_field
    - _COMMON_: args.language_hints_field
    - _COMMON_: args.model_field

  output:
    format: json