Detects text in the input image and converts it into machine-readable text
Detects text in the input image and converts it into machine-readable text.
Pass the input image as base64-encoded image bytes or as a reference to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, you must pass it as a reference to an image in an Amazon S3 bucket. For the AWS CLI, passing image bytes is not supported. The image must be either a .png or .jpeg formatted file.
The detect_text operation returns text in
an array of TextDetection elements, TextDetections. Each
TextDetection element provides information about a single word or line
of text that was detected in the image.
A word is one or more ISO basic latin script characters that are not
separated by spaces. detect_text can detect
up to 50 words in an image.
A line is a string of equally spaced words. A line isn't necessarily a
complete sentence. For example, a driver's license number is detected as
a line. A line ends when there is no aligned text after it. Also, a line
ends when there is a large gap between words, relative to the length of
the words. This means, depending on the gap between words, Amazon
Rekognition may detect multiple lines in text aligned in the same
direction. Periods don't represent the end of a line. If a sentence
spans multiple lines, the detect_text
operation returns multiple lines.
To determine whether a TextDetection element is a line of text or a
word, use the TextDetection object Type field.
To be detected, text must be within +/- 90 degrees orientation of the horizontal axis.
For more information, see DetectText in the Amazon Rekognition Developer Guide.
rekognition_detect_text(Image, Filters)
Image |
[required] The input image as base64-encoded bytes or an Amazon S3 object. If you use the AWS CLI to call Amazon Rekognition operations, you can't pass image bytes. If you are using an AWS SDK to call Amazon Rekognition, you might not
need to base64-encode image bytes passed using the |
Filters |
Optional parameters that let you set the criteria that the text must meet to be included in your response. |
A list with the following syntax:
list(
TextDetections = list(
list(
DetectedText = "string",
Type = "LINE"|"WORD",
Id = 123,
ParentId = 123,
Confidence = 123.0,
Geometry = list(
BoundingBox = list(
Width = 123.0,
Height = 123.0,
Left = 123.0,
Top = 123.0
),
Polygon = list(
list(
X = 123.0,
Y = 123.0
)
)
)
)
),
TextModelVersion = "string"
)svc$detect_text(
Image = list(
Bytes = raw,
S3Object = list(
Bucket = "string",
Name = "string",
Version = "string"
)
),
Filters = list(
WordFilter = list(
MinConfidence = 123.0,
MinBoundingBoxHeight = 123.0,
MinBoundingBoxWidth = 123.0
),
RegionsOfInterest = list(
list(
BoundingBox = list(
Width = 123.0,
Height = 123.0,
Left = 123.0,
Top = 123.0
)
)
)
)
)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.