NAME
    gcloud alpha ml vision detect-text-pdf - detect and transcribe text from
        PDF files stored in Google Cloud Storage

SYNOPSIS
    gcloud alpha ml vision detect-text-pdf INPUT_FILE OUTPUT_PATH
        [--batch-size=BATCH_SIZE]
        [--model-version=MODEL_VERSION; default="builtin/stable"]
        [GCLOUD_WIDE_FLAG ...]

DESCRIPTION
    (ALPHA) 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':

        $ gcloud alpha ml vision detect-text-pdf gs://my_bucket/input_file \
            gs://my_bucket/out_put_prefix

POSITIONAL ARGUMENTS
     INPUT_FILE
        Google Cloud Storage location to read the input from. It must be in
        Google Cloud Storage format (gs://bucket/object)

     OUTPUT_PATH
        Google Cloud Storage location to store the output file. It must be in
        Google Cloud Storage format (gs://bucket/object)

FLAGS
     --batch-size=BATCH_SIZE
        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.

     --model-version=MODEL_VERSION; default="builtin/stable"
        Model version to use for the feature. MODEL_VERSION must be one of:
        builtin/latest, builtin/stable.

GCLOUD WIDE FLAGS
    These flags are available to all commands: --access-token-file, --account,
    --billing-project, --configuration, --flags-file, --flatten, --format,
    --help, --impersonate-service-account, --log-http, --project, --quiet,
    --trace-token, --user-output-enabled, --verbosity.

    Run $ gcloud help for details.

API REFERENCE
    This command uses the vision/v1 API. The full documentation for this API
    can be found at: https://cloud.google.com/vision/

NOTES
    This command is currently in alpha and might change without notice. If this
    command fails with API permission errors despite specifying the correct
    project, you might be trying to access an API with an invitation-only early
    access allowlist. These variants are also available:

        $ gcloud ml vision detect-text-pdf

        $ gcloud beta ml vision detect-text-pdf

