KYC OCR Plus
POST
https://api.staging.indiconnect.in/idverifygr/verification
Last modified:2026-04-06 06:27:16
It leverages Optical Character Recognition (OCR) technology to digitize and process document information efficiently.
By integrating this API, businesses can eliminate manual data entry, reduce errors, and speed up verification processes.
extracted fields, confidence scores, document classification, and additional metadata.
Request Headers
| Header | Description |
|---|---|
myAppId | Application identifier used for service authentication |
service-key | Unique service key provided for accessing the verification service |
Authorization | API authorization credentials for secure access |
Content-Type | Specifies the request payload format (application/json) |
Request Parameters
| Parameter | Type | Description |
|---|---|---|
url | String | URL of the document image (PAN, Aadhaar, DL, Passport, etc.) |
caseId | String | Unique identifier for tracking the request |
documentType | String | Specifies the verification type (KYC OCR) |
Response Fields
| Field | Description |
|---|---|
ok | Indicates whether the request was successful (true / false) |
message | Status message describing the result |
result.request_id | Unique request identifier generated by the system |
result.status_code | Status code indicating processing result |
result.documents[].document_type | Type of document detected (PAN, Aadhaar, DL, etc.) |
result.documents[].ocr_data | Extracted fields from the document along with confidence scores |
result.documents[].ocr_data.*.value | Extracted value for a specific field |
result.documents[].ocr_data.*.confidence | Confidence score of the extracted value |
result.documents[].additional_details.faceDetected | Indicates if a face was detected in the document |
result.documents[].additional_details.addressSplit | Structured breakdown of extracted address fields |
error | Contains error details if the request fails |
Use Cases
- Automated KYC document processing
- Digital onboarding and identity verification
- Data extraction from multiple identity documents
- Reducing manual data entry errors
Key Benefits
- Supports multiple document types in a single API
- Provides confidence scores for accuracy assessment
- Faster and automated document processing
- Enhances operational efficiency and reduces fraud risks
Request
Header Params
Body Params application/jsonRequired
Responses
Request Request Example
Shell
JavaScript
Java
Swift
curl --location --request POST 'https://api.staging.indiconnect.in/idverifygr/verification' \
--header 'myAppId: verification_v3_app' \
--header 'service-key: sk_test_a9944179bc598f06' \
--header 'Authorization: x-api-access indc_test_a41eaf2a175f3b13:ac_test_bf7117f6da6c6285' \
--header 'Content-Type: application/json' \
--data-raw '{
"query": "mutation {\r\n verify(\r\n input: {\r\n documentType: \"KYC OCR\"\r\n url: \"https://pg-all-js-assets.s3.ap-south-2.amazonaws.com/Driving_lic01.jpg\"\r\n caseId: \"DL-GQL-001\"\r\n }\r\n ) {\r\n ok\r\n message\r\n result {\r\n __typename\r\n ... on KYCOCRResult {\r\n request_id\r\n status_code\r\n documents {\r\n document_type\r\n ocr_data\r\n additional_details\r\n }\r\n }\r\n }\r\n error {\r\n status\r\n message\r\n decryptedError\r\n }\r\n }\r\n}\r\n",
"variables": {}
}'Response Response Example
{
"data": {
"verify": {
"ok": true,
"message": "Verification completed successfully",
"result": {
"__typename": "KYCOCRResult",
"request_id": "a31deeca-0f70-45e3-906c-a41cc0cae288",
"status_code": 101,
"documents": [
{
"document_type": "DL",
"ocr_data": {
"dlNo": {
"value": "MH44 20100001675",
"confidence": 0.62
},
"name": {
"value": "VAIBHAV KOLEKAR",
"confidence": 0.92
},
"dob": {
"value": "06-10-1990",
"confidence": 0.88
},
"doi": {
"value": "08-02-2010",
"confidence": 0.87
},
"doe": {
"value": "07-02-2030",
"confidence": 0.64
},
"relationName": {
"value": "SURESHRAO KOLEKAR",
"confidence": 0.92
},
"address": {
"value": "AT-MANGALWAR PETH, AMBAJOGAI, TQ-AMBAJOGAI, DIST-BEED. PIN : 431517",
"confidence": 0.92
},
"pin": {
"value": "431517",
"confidence": 0.65
}
},
"additional_details": {
"faceDetected": true,
"addressSplit": {
"building": "",
"city": "Ambajogai",
"district": "Beed",
"pin": "431517",
"floor": "",
"house": "",
"locality": "AT -MANGALWAR PETH",
"state": "",
"street": "",
"complex": "",
"landmark": "",
"untagged": "DIST"
}
}
}
]
},
"error": null
}
}
}Modified at 2026-04-06 06:27:16