Gecko [ v3.cesa.co.za ]

Name	Size	Permission	Date
__pycache__	[ DIR ]	drwxr-xr-x	2026-06-08 18:08
operations	[ DIR ]	drwxr-xr-x	2026-06-08 18:08
product_search	[ DIR ]	drwxr-xr-x	2026-06-08 18:08
__init__.py	910 B	-rw-r--r--	1980-01-01 08:00
__init__.yaml	1.85 KB	-rw-r--r--	1980-01-01 08:00
detect_document.yaml	2.07 KB	-rw-r--r--	1980-01-01 08:00
detect_faces.yaml	1.05 KB	-rw-r--r--	1980-01-01 08:00
detect_image_properties.yaml	1.08 KB	-rw-r--r--	1980-01-01 08:00
detect_labels.yaml	1.25 KB	-rw-r--r--	1980-01-01 08:00
detect_landmarks.yaml	1.27 KB	-rw-r--r--	1980-01-01 08:00
detect_logos.yaml	1.13 KB	-rw-r--r--	1980-01-01 08:00
detect_objects.yaml	763 B	-rw-r--r--	1980-01-01 08:00
detect_product.yaml	2.66 KB	-rw-r--r--	1980-01-01 08:00
detect_safe_search.yaml	1.3 KB	-rw-r--r--	1980-01-01 08:00
detect_text.yaml	1.65 KB	-rw-r--r--	1980-01-01 08:00
detect_text_pdf.yaml	1.87 KB	-rw-r--r--	1980-01-01 08:00
detect_text_tiff.yaml	1.86 KB	-rw-r--r--	1980-01-01 08:00
detect_web.yaml	1.41 KB	-rw-r--r--	1980-01-01 08:00
suggest_crop.yaml	2.01 KB	-rw-r--r--	1980-01-01 08:00

Rename

- release_tracks: [ALPHA, BETA, GA]

help_text:
    brief: Detect and transcribe text from PDF files stored in Google Cloud Storage.
    description: |
      Detect and transcribe text from PDF files stored in Google Cloud Storage.

The Vision API accepts PDF files up to 2000 pages.
      Larger files will return an error.
    examples: |
      To detect text for input PDF file 'gs://my_bucket/input_file' and store output in 'gs://my_bucket/out_put_prefix':

$ {command} gs://my_bucket/input_file
        gs://my_bucket/out_put_prefix

request:
    collection: vision.files
    method: asyncBatchAnnotate
    api_version: v1
    static_fields:
      requests.features.type: DOCUMENT_TEXT_DETECTION
      requests.inputConfig.mimeType: 'application/pdf'

response:
    error:
      field: error
      code: code
      message: message

arguments:
    params:
    - api_field: requests.inputConfig.gcsSource
      arg_name: input_file
      is_positional: true
      help_text: |
        Google Cloud Storage location to read the input from. It must be in
        Google Cloud Storage format (gs://bucket/object)
      processor: googlecloudsdk.command_lib.ml.vision.util:GetGcsSourceFromPath
    - api_field: requests.outputConfig.gcsDestination
      arg_name: output_path
      is_positional: true
      help_text: |
        Google Cloud Storage location to store the output file. It must be in
        Google Cloud Storage format (gs://bucket/object)
      processor: googlecloudsdk.command_lib.ml.vision.util:GetGcsDestinationFromPath
    - api_field: requests.outputConfig.batchSize
      arg_name: batch-size
      help_text: |
        Maximum number of response protos to put into each output JSON file on
        Google Cloud Storage.
        The valid range is [1, 100]. If not specified, the default value is 20.
    - _COMMON_: args.model_field

output:
    format: json