gcloud ml vision detect-text-pdf

NAME
gcloud ml vision detect-text-pdf - detect and transcribe text from PDF files stored in Google Cloud Storage
SYNOPSIS
gcloud ml vision detect-text-pdf INPUT_FILE OUTPUT_PATH [--batch-size=BATCH_SIZE] [GCLOUD_WIDE_FLAG]
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':
gcloud 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.
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
These variants are also available:
gcloud alpha ml vision detect-text-pdf
gcloud beta ml vision detect-text-pdf