- 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
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Last updated 2024-02-06 UTC.