Sending image for recognition
To extract a text from an image, send a POST request to the https://api.aspose.cloud/v5.0/ocr/RecognizeImage
Aspose.OCR Cloud REST API endpoint. To authorize the request, pass the access token in Authorization header (Bearer authentication).
The image and recognition parameters are provided in JSON format in the request body.
{
"image": "Base64 string",
"settings": {
"language": "English",
"makeSkewCorrect": true,
"rotate": 0,
"makeBinarization": false,
"makeContrastCorrection": true,
"makeUpsampling": false,
"makeSpellCheck": false,
"dsrMode": "Regions",
"dsrConfidence": "Default",
"resultType": "Text"
}
}
Evaluation mode
To use Aspose.OCR Cloud image recognition in evaluation mode, send a POST request to the endpoint https://api.aspose.cloud/v5.0/ocr/RecognizeImageTrial
.
This endpoint does not use the Authorization header, so there is no need to generate an access token. All settings remain the same as in regular image recognition requests.
Providing an image
The image is provided in a value of image
property as a Base64 encoded string.
getconf ARG_MAX
command to check the maximum length of the command arguments (in bytes).
Recognition settings
Property | Type | Default value | Description |
---|---|---|---|
language |
string | English |
Specify a language for recognition. |
makeSkewCorrect |
boolean | true |
Automatically correct image tilt (deskew) before proceeding to recognition. Automatic deskew works for images rotated 15 degrees or less. If the image is rotated by a larger degree or upside down, you must manually specify the rotation angle. |
rotate |
integer | 0 |
Rotate an image by the specified degree. Should be used when the image is rotated by a significant angle or turned upside down. |
makeBinarization |
boolean | false |
Automatically convert an image to black and white before proceeding to recognition. |
makeContrastCorrection |
boolean | true |
Automatically increase the contrast of an image before proceeding to recognition. |
makeUpsampling |
boolean | false |
Intellectually upscale image to improve small font recognition and detection of dense lines. |
makeSpellCheck |
boolean | false |
Automatically replace commonly misspelled words in recognition results with the correct ones. The dictionary is based on the selected recognition language. |
dsrMode |
string | Regions |
Document structure analysis algorithm. |
dsrConfidence |
string | Default |
Threshold for filtering content blocks detected by the selected structure analysis algorithm. |
resultType |
string | Text |
Recognition result format. |
Image preprocessing order
If image preprocessing filters are enabled, they are applied one after the other in the following order:
- Contrast correction (
"makeContrastCorrection": true
) - Binarization (
"makeBinarization": true
) - Skew correction (
"makeSkewCorrect": true
) - Upsampling (
"makeUpsampling": true
)
If you want to apply preprocessing filters in another order, disable the corresponding recognition settings and use self-managed preprocessing.
Return value
If successful, this method returns a string with a unique identifier (GUID) of the image recognition request in the queue.
Otherwise, it returns a HTTP status code corresponding to the error.
What’s next
Recognition will take a few seconds, depending on the size of the image and the current Aspose.Cloud load. See the article Fetching image recognition result for information on how to get an image recognition result from the server.