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Optical Character Recognition
Zia Optical Character Recognition electronically detects textual characters in images or digital documents, and converts them into machine-encoded text. Zia OCR can recognize text in 10 major languages.
Execute OCR
Description
This API is used to detect textual characters in images and documents, and deliver the recognized text as a JSON response. The response also contains a confidence score, which defines the accuracy of the detection.
You must specify the path to the image or document file in the API request, as shown in the sample request. You can optionally specify the languages present in the text, for quicker processing. OCR supports 9 international languages and 10 Indian languages, that are mentioned in the tables below. The language is automatically detected and the text is processed, if it is not specified.
Request Details
Request URL
{api-domain}/baas/v1/project/{project_id}/ml/ocr
Request Headers
Authorization: Zoho-oauthtoken {oauth_token}
content-type: multipart/form-data; boundary=—-WebKitFormBoundary7MA4YWxkTrZu0gW
Optional Headers
CATALYST-ORG: {org_id}
Environment: Development
Scope
ZohoCatalyst.mlkit.READ
Request JSON Properties
The input file to be processed. You must provide the path to it in your local system.
Allowed formats: .webp, .jpeg, .png, .bmp, .tiff, .pdf
File size limit: 20 MB
International Languages Supported by OCR
| Language | Language Codes |
|---|---|
| Arabic | ara |
| Chinese | chi_sim |
| French | fra |
| Italian | ita |
| Japanese | jpn |
| Portuguese | por |
| Romanian | ron |
| Spanish | spa |
Indian Languages Supported by OCR
| Language | Language Codes |
|---|---|
| English | eng |
| Hindi | hin |
| Bengali | ben |
| Marathi | mar |
| Telugu | tel |
| Tamil | tam |
| Gujarati | guj |
| Urdu | urd |
| Kannada | kan |
| Malayalam | mal |
| Sanskrit | san |
Response Details
The response returns the data of the OCR processing, which includes the text that was recognized from the input in the text key and the confidence score of the recognition in the confidence key.
curl -X POST
https://api.catalyst.zoho.com/baas/v1/project/4000000006007/ml/ocr
-H “Authorization: Zoho-oauthtoken 1000.910*************************16.2f*************************57”
-H “Content-Type: multipart/form-data; boundary=—-WebKitFormBoundary7MA4YWxkTrZu0gW”
-F “image=/Desktop/HelplineCard.webp”
-F “language=eng,spa”
{
"status":"success",
"data": {
"confidence":79.71514892578125,
"text":"Whenever you\nneed to talk,\nwe‘re open\n\n[—] text eseses\n[J] KidsHelpPhone.ca\n\n(@, call 1—800—663—6868 Kids Help Phone ©"
}
}
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