Skip to main content
POST
/
v3
/
database-validation
curl -X POST "https://verification.didit.me/v3/database-validation/" \
  -H "x-api-key: YOUR_API_KEY" \
  -F "issuing_state=ZAF" \
  -F "services=zaf_dha_fingerprint_match" \
  -F "consent=true" \
  -F "national_id=SAMPLE-NID-12345" \
  -F "right_thumb=sample_value" \
  -F "left_thumb=sample_value"

{
  "request_id": "req_01H…",
  "status": "Approved",
  "issuing_state": "ZAF",
  "match_type": "full_match",
  "validations": [
    {
      "outcome_code": "MATCH",
      "service_id": "zaf_dha_fingerprint_match",
      "service_name": "South Africa - DHA Fingerprint Match",
      "source_data": {
        "identification_number": "SAMPLE-ID-12345"
      },
      "validation": {
        "identification_number": "full_match"
      }
    }
  ]
}

Documentation Index

Fetch the complete documentation index at: https://docs.didit.me/llms.txt

Use this file to discover all available pages before exploring further.

Verifies provided fingerprint images against the Department of Home Affairs fingerprint register. Didit exposes this service through POST /v3/database-validation/ so you can verify the submitted data against the authoritative source and receive normalized match results.

​
Coverage

  • Coverage: —
  • Country: South Africa
  • Service ID: zaf_dha_fingerprint_match
  • Data domain: Biometric
  • Category: Government

​
Inputs

FieldRequiredExample
national_idYesSAMPLE-NID-12345
right_thumbYessample_value
left_thumbYessample_value
  • Required inputs: national_id, right_thumb, left_thumb
  • Optional inputs: —
  • Consent: Required
  • Workflow availability: Standalone API only
  • Coverage: —
  • Price: $0.50 per successful query

​
Body parameters

​
issuing_state
string
required
ISO 3166-1 alpha-3 country code for this database service.Example: ZAF
​
services
string
required
Array containing this service ID. Pinning the service keeps the request scoped to this exact database.Example: zaf_dha_fingerprint_match
​
consent
boolean
required
Explicit end-user consent for this service.Example: true
​
national_id
string
required
National identity number for this service.Example: SAMPLE-NID-12345
​
right_thumb
string
required
right_thumb value required by this database service.Example: sample_value
​
left_thumb
string
required
left_thumb value required by this database service.Example: sample_value

​
Input rules & validation notes

  • Send the fields listed above exactly as captured from the user or document.
  • Didit validates required fields before calling the database. Requests rejected before source lookup are not charged.

​
How to call it

curl -X POST "https://verification.didit.me/v3/database-validation/" \
  -H "x-api-key: YOUR_API_KEY" \
  -F "issuing_state=ZAF" \
  -F "services=zaf_dha_fingerprint_match" \
  -F "consent=true" \
  -F "national_id=SAMPLE-NID-12345" \
  -F "right_thumb=sample_value" \
  -F "left_thumb=sample_value"

{
  "request_id": "req_01H…",
  "status": "Approved",
  "issuing_state": "ZAF",
  "match_type": "full_match",
  "validations": [
    {
      "outcome_code": "MATCH",
      "service_id": "zaf_dha_fingerprint_match",
      "service_name": "South Africa - DHA Fingerprint Match",
      "source_data": {
        "identification_number": "SAMPLE-ID-12345"
      },
      "validation": {
        "identification_number": "full_match"
      }
    }
  ]
}

​
Returned data

The exact fields surfaced in source_data depend on what the registry returns. The generated example for zaf_dha_fingerprint_match currently documents this normalized shape:
  • identification_number

​
Pricing & SLAs

South Africa - DHA Fingerprint Match queries are billed only when Didit receives a conclusive result from the validation source.
  • Per-call price: $0.50 USD.
  • Billing: per successful query. You are not charged when the registry is unreachable, when required fields are missing, or when the request is rejected before reaching the source.
  • Latency: typical p95 < 2 s.
  • Availability: 99.9% per quarter on Didit’s side; downstream source availability varies by country and dataset.

​
Continue reading