curl -X POST "https://verification.didit.me/v3/database-validation/" \
-H "x-api-key: YOUR_API_KEY" \
-F "issuing_state=ZAF" \
-F "services=zaf_criminal_face_screening" \
-F "vendor_data=user-1234" \
-F "consent=true" \
-F "selfie=@./selfie.jpg"
from didit import Didit
# Reads DIDIT_API_KEY.
client = Didit()
result = client.database_validation.validate(
issuing_state="ZAF",
services=["zaf_criminal_face_screening"],
consent=True,
vendor_data="user-1234",
selfie=open("selfie.jpg", "rb"),
)
print(result)
import Didit, { fileFromPath } from "@didit-protocol/sdk-node";
// Reads DIDIT_API_KEY.
const didit = new Didit();
const result = await didit.databaseValidation.validate({
issuing_state: "ZAF",
services: ["zaf_criminal_face_screening"],
consent: true,
vendor_data: "user-1234",
selfie: await fileFromPath("selfie.jpg"),
});
console.log(result);
ctx := context.Background()
// Reads DIDIT_API_KEY.
client := didit.NewClient()
result, err := client.DatabaseValidation.Validate(ctx, didit.DatabaseValidationValidateParams{
IssuingState: "ZAF",
Services: didit.Some([]string{"zaf_criminal_face_screening"}),
Consent: didit.Bool(true),
VendorData: didit.String("user-1234"),
Selfie: didit.Some(didit.FileFromPath("selfie.jpg")),
})
if err != nil {
log.Fatal(err)
}
fmt.Printf("%+v\n", result)
import java.nio.file.Path;
import java.util.List;
import me.didit.Didit;
import me.didit.types.DatabaseValidationValidateParams;
// Reads DIDIT_API_KEY.
Didit client = new Didit();
var result = client.databaseValidation().validate(DatabaseValidationValidateParams.builder()
.issuingState("ZAF")
.services(List.of("zaf_criminal_face_screening"))
.consent(true)
.vendorData("user-1234")
.selfie(Path.of("selfie.jpg"))
.build());
System.out.println(result);
<?php
require 'vendor/autoload.php';
use Didit\DiditClient;
use Didit\File;
// Reads DIDIT_API_KEY.
$didit = new DiditClient();
$result = $didit->databaseValidation->validate([
'issuing_state' => 'ZAF',
'services' => ['zaf_criminal_face_screening'],
'consent' => true,
'vendor_data' => 'user-1234',
'selfie' => File::fromPath('selfie.jpg'),
]);
print_r($result->toArray());
require "didit"
# Reads DIDIT_API_KEY.
didit = Didit::Client.new
result = didit.database_validation.validate(
issuing_state: "ZAF",
services: ["zaf_criminal_face_screening"],
consent: true,
vendor_data: "user-1234",
selfie: Pathname("selfie.jpg")
)
puts result.to_h
using System;
using System.Text.Json;
using Didit;
// Reads DIDIT_API_KEY.
using var client = new DiditClient();
var result = await client.DatabaseValidation.ValidateAsync(new DatabaseValidationValidateParams
{
IssuingState = "ZAF",
Services = new string[] { "zaf_criminal_face_screening" },
Consent = true,
VendorData = "user-1234",
Selfie = FileUpload.FromPath("selfie.jpg"),
});
Console.WriteLine(JsonSerializer.Serialize(result));
{
"request_id": "req_01H…",
"status": "Approved",
"issuing_state": "ZAF",
"match_type": "full_match",
"validations": [
{
"outcome_code": "MATCH",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"criminal_matches": "sample_value",
"face_quality": "sample_value",
"request_id": "SAMPLE-12345"
},
"validation": {
"identification_number": "full_match"
}
}
]
}
{
"request_id": "req_01H…",
"status": "Declined",
"issuing_state": "ZAF",
"match_type": "no_match",
"validations": [
{
"outcome_code": "NO_MATCH",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"identification_number": "NO_MATCH"
},
"validation": {
"identification_number": "no_match"
}
}
]
}
{
"request_id": "req_01H…",
"status": "Declined",
"issuing_state": "ZAF",
"match_type": "no_match",
"validations": [
{
"outcome_code": "BIOMETRIC_NO_MATCH",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"identification_number": "NO_MATCH"
},
"validation": {
"identification_number": "no_match"
}
}
]
}
{
"request_id": "req_01H…",
"status": "In Review",
"issuing_state": "ZAF",
"match_type": "no_match",
"validations": [
{
"outcome_code": "BIOMETRIC_IMAGE_UNUSABLE",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"identification_number": "NO_MATCH"
},
"validation": {
"identification_number": "no_match"
}
}
]
}
🇿🇦 Sudáfrica
API de antecedentes penales por rostro en Sudáfrica
Verificación de antecedentes penales por rostro en Sudáfrica con Didit: consulta oficial. Desde $8.00 por consulta, sin contratos ni mínimos.
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_criminal_face_screening" \
-F "vendor_data=user-1234" \
-F "consent=true" \
-F "selfie=@./selfie.jpg"
from didit import Didit
# Reads DIDIT_API_KEY.
client = Didit()
result = client.database_validation.validate(
issuing_state="ZAF",
services=["zaf_criminal_face_screening"],
consent=True,
vendor_data="user-1234",
selfie=open("selfie.jpg", "rb"),
)
print(result)
import Didit, { fileFromPath } from "@didit-protocol/sdk-node";
// Reads DIDIT_API_KEY.
const didit = new Didit();
const result = await didit.databaseValidation.validate({
issuing_state: "ZAF",
services: ["zaf_criminal_face_screening"],
consent: true,
vendor_data: "user-1234",
selfie: await fileFromPath("selfie.jpg"),
});
console.log(result);
ctx := context.Background()
// Reads DIDIT_API_KEY.
client := didit.NewClient()
result, err := client.DatabaseValidation.Validate(ctx, didit.DatabaseValidationValidateParams{
IssuingState: "ZAF",
Services: didit.Some([]string{"zaf_criminal_face_screening"}),
Consent: didit.Bool(true),
VendorData: didit.String("user-1234"),
Selfie: didit.Some(didit.FileFromPath("selfie.jpg")),
})
if err != nil {
log.Fatal(err)
}
fmt.Printf("%+v\n", result)
import java.nio.file.Path;
import java.util.List;
import me.didit.Didit;
import me.didit.types.DatabaseValidationValidateParams;
// Reads DIDIT_API_KEY.
Didit client = new Didit();
var result = client.databaseValidation().validate(DatabaseValidationValidateParams.builder()
.issuingState("ZAF")
.services(List.of("zaf_criminal_face_screening"))
.consent(true)
.vendorData("user-1234")
.selfie(Path.of("selfie.jpg"))
.build());
System.out.println(result);
<?php
require 'vendor/autoload.php';
use Didit\DiditClient;
use Didit\File;
// Reads DIDIT_API_KEY.
$didit = new DiditClient();
$result = $didit->databaseValidation->validate([
'issuing_state' => 'ZAF',
'services' => ['zaf_criminal_face_screening'],
'consent' => true,
'vendor_data' => 'user-1234',
'selfie' => File::fromPath('selfie.jpg'),
]);
print_r($result->toArray());
require "didit"
# Reads DIDIT_API_KEY.
didit = Didit::Client.new
result = didit.database_validation.validate(
issuing_state: "ZAF",
services: ["zaf_criminal_face_screening"],
consent: true,
vendor_data: "user-1234",
selfie: Pathname("selfie.jpg")
)
puts result.to_h
using System;
using System.Text.Json;
using Didit;
// Reads DIDIT_API_KEY.
using var client = new DiditClient();
var result = await client.DatabaseValidation.ValidateAsync(new DatabaseValidationValidateParams
{
IssuingState = "ZAF",
Services = new string[] { "zaf_criminal_face_screening" },
Consent = true,
VendorData = "user-1234",
Selfie = FileUpload.FromPath("selfie.jpg"),
});
Console.WriteLine(JsonSerializer.Serialize(result));
{
"request_id": "req_01H…",
"status": "Approved",
"issuing_state": "ZAF",
"match_type": "full_match",
"validations": [
{
"outcome_code": "MATCH",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"criminal_matches": "sample_value",
"face_quality": "sample_value",
"request_id": "SAMPLE-12345"
},
"validation": {
"identification_number": "full_match"
}
}
]
}
{
"request_id": "req_01H…",
"status": "Declined",
"issuing_state": "ZAF",
"match_type": "no_match",
"validations": [
{
"outcome_code": "NO_MATCH",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"identification_number": "NO_MATCH"
},
"validation": {
"identification_number": "no_match"
}
}
]
}
{
"request_id": "req_01H…",
"status": "Declined",
"issuing_state": "ZAF",
"match_type": "no_match",
"validations": [
{
"outcome_code": "BIOMETRIC_NO_MATCH",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"identification_number": "NO_MATCH"
},
"validation": {
"identification_number": "no_match"
}
}
]
}
{
"request_id": "req_01H…",
"status": "In Review",
"issuing_state": "ZAF",
"match_type": "no_match",
"validations": [
{
"outcome_code": "BIOMETRIC_IMAGE_UNUSABLE",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"identification_number": "NO_MATCH"
},
"validation": {
"identification_number": "no_match"
}
}
]
}
Compara una imagen facial con conjuntos de datos publicados de antecedentes penales para detectar posibles coincidencias. Didit ofrece este servicio a través de
POST /v3/database-validation/ para que puedas verificar los datos enviados con la fuente oficial y recibir resultados de coincidencia normalizados.
Cobertura
- Cobertura: —
- País: Sudáfrica
- ID del servicio:
zaf_criminal_face_screening - Dominio de datos: Antecedentes penales
- Categoría: Antecedentes penales
Datos de entrada
| Campo | Obligatorio | Ejemplo |
|---|---|---|
selfie | Sí | @./selfie.jpg |
score_level | No | standard |
max_matches | No | 10 |
vendor_data | No | user-1234 |
- Datos obligatorios:
selfie - Datos opcionales:
score_level,max_matches,vendor_data - Consentimiento: Obligatorio
- Disponibilidad en flujos: Disponible en el flujo de trabajo
- Cobertura: —
- Precio: $8.00 por consulta exitosa
Parámetros del cuerpo
string
predeterminado:"ZAF"
requerido
Código de país ISO 3166-1 alfa-3 de este servicio de base de datos.Ejemplo:
ZAFstring
predeterminado:"zaf_criminal_face_screening"
requerido
Array que contiene el ID de este servicio. Fijar el servicio limita la solicitud a esta base de datos concreta.Ejemplo:
zaf_criminal_face_screeningboolean
predeterminado:"true"
requerido
Consentimiento explícito del usuario final para este servicio.Ejemplo:
truefile
requerido
Archivo de imagen de la selfie que se sube para la validación en la base de datos biométrica. Formatos admitidos: JPEG, PNG o WebP.Ejemplo:
@./selfie.jpgstring
Valor de
score_level que requiere este servicio de base de datos.Ejemplo: standardstring
Valor de
max_matches que requiere este servicio de base de datos.Ejemplo: 10string
predeterminado:"user-1234"
Tu referencia estable de usuario para esta persona, como tu ID interno de usuario. Didit la usa para vincular las comprobaciones independientes al mismo usuario final y reducir el ruido en la detección de duplicados.Ejemplo:
user-1234Reglas de entrada y notas de validación
- Envía los campos indicados arriba exactamente como se obtuvieron del usuario o del documento.
- Didit valida los campos obligatorios antes de consultar la base de datos. Las solicitudes rechazadas antes de consultar la fuente no se cobran.
Cómo invocar el endpoint
curl -X POST "https://verification.didit.me/v3/database-validation/" \
-H "x-api-key: YOUR_API_KEY" \
-F "issuing_state=ZAF" \
-F "services=zaf_criminal_face_screening" \
-F "vendor_data=user-1234" \
-F "consent=true" \
-F "selfie=@./selfie.jpg"
from didit import Didit
# Reads DIDIT_API_KEY.
client = Didit()
result = client.database_validation.validate(
issuing_state="ZAF",
services=["zaf_criminal_face_screening"],
consent=True,
vendor_data="user-1234",
selfie=open("selfie.jpg", "rb"),
)
print(result)
import Didit, { fileFromPath } from "@didit-protocol/sdk-node";
// Reads DIDIT_API_KEY.
const didit = new Didit();
const result = await didit.databaseValidation.validate({
issuing_state: "ZAF",
services: ["zaf_criminal_face_screening"],
consent: true,
vendor_data: "user-1234",
selfie: await fileFromPath("selfie.jpg"),
});
console.log(result);
ctx := context.Background()
// Reads DIDIT_API_KEY.
client := didit.NewClient()
result, err := client.DatabaseValidation.Validate(ctx, didit.DatabaseValidationValidateParams{
IssuingState: "ZAF",
Services: didit.Some([]string{"zaf_criminal_face_screening"}),
Consent: didit.Bool(true),
VendorData: didit.String("user-1234"),
Selfie: didit.Some(didit.FileFromPath("selfie.jpg")),
})
if err != nil {
log.Fatal(err)
}
fmt.Printf("%+v\n", result)
import java.nio.file.Path;
import java.util.List;
import me.didit.Didit;
import me.didit.types.DatabaseValidationValidateParams;
// Reads DIDIT_API_KEY.
Didit client = new Didit();
var result = client.databaseValidation().validate(DatabaseValidationValidateParams.builder()
.issuingState("ZAF")
.services(List.of("zaf_criminal_face_screening"))
.consent(true)
.vendorData("user-1234")
.selfie(Path.of("selfie.jpg"))
.build());
System.out.println(result);
<?php
require 'vendor/autoload.php';
use Didit\DiditClient;
use Didit\File;
// Reads DIDIT_API_KEY.
$didit = new DiditClient();
$result = $didit->databaseValidation->validate([
'issuing_state' => 'ZAF',
'services' => ['zaf_criminal_face_screening'],
'consent' => true,
'vendor_data' => 'user-1234',
'selfie' => File::fromPath('selfie.jpg'),
]);
print_r($result->toArray());
require "didit"
# Reads DIDIT_API_KEY.
didit = Didit::Client.new
result = didit.database_validation.validate(
issuing_state: "ZAF",
services: ["zaf_criminal_face_screening"],
consent: true,
vendor_data: "user-1234",
selfie: Pathname("selfie.jpg")
)
puts result.to_h
using System;
using System.Text.Json;
using Didit;
// Reads DIDIT_API_KEY.
using var client = new DiditClient();
var result = await client.DatabaseValidation.ValidateAsync(new DatabaseValidationValidateParams
{
IssuingState = "ZAF",
Services = new string[] { "zaf_criminal_face_screening" },
Consent = true,
VendorData = "user-1234",
Selfie = FileUpload.FromPath("selfie.jpg"),
});
Console.WriteLine(JsonSerializer.Serialize(result));
Toda llamada exitosa devuelve HTTP
200. El campo outcome_code indica lo que ocurrió realmente; por ejemplo, distingue una falta de coincidencia biométrica real (BIOMETRIC_NO_MATCH) de una selfie que no se pudo leer (BIOMETRIC_IMAGE_UNUSABLE). El status que se muestra es el estado predeterminado de la función; las acciones de Partial Match / No Match que hayas configurado pueden sobrescribirlo.MATCH: el registro confirmó la identidad y todos los campos comprobados coincidieron.{
"request_id": "req_01H…",
"status": "Approved",
"issuing_state": "ZAF",
"match_type": "full_match",
"validations": [
{
"outcome_code": "MATCH",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"criminal_matches": "sample_value",
"face_quality": "sample_value",
"request_id": "SAMPLE-12345"
},
"validation": {
"identification_number": "full_match"
}
}
]
}
NO_MATCH: el registro no devolvió ninguna coincidencia para los datos enviados.{
"request_id": "req_01H…",
"status": "Declined",
"issuing_state": "ZAF",
"match_type": "no_match",
"validations": [
{
"outcome_code": "NO_MATCH",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"identification_number": "NO_MATCH"
},
"validation": {
"identification_number": "no_match"
}
}
]
}
BIOMETRIC_NO_MATCH: la puntuación de coincidencia facial quedó por debajo del umbral de aceptación; la persona de la selfie no es la misma que la de la foto del registro.{
"request_id": "req_01H…",
"status": "Declined",
"issuing_state": "ZAF",
"match_type": "no_match",
"validations": [
{
"outcome_code": "BIOMETRIC_NO_MATCH",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"identification_number": "NO_MATCH"
},
"validation": {
"identification_number": "no_match"
}
}
]
}
BIOMETRIC_IMAGE_UNUSABLE: no se pudo procesar la selfie (vacía, sin rostro, de baja calidad o el registro no pudo leerla). Pide al usuario que vuelva a tomar la selfie.{
"request_id": "req_01H…",
"status": "In Review",
"issuing_state": "ZAF",
"match_type": "no_match",
"validations": [
{
"outcome_code": "BIOMETRIC_IMAGE_UNUSABLE",
"service_id": "zaf_criminal_face_screening",
"service_name": "South Africa - Criminal Screening by Face",
"source_data": {
"identification_number": "NO_MATCH"
},
"validation": {
"identification_number": "no_match"
}
}
]
}
Datos devueltos
Los campos exactos que aparecen ensource_data dependen de lo que devuelva el registro. El ejemplo generado para zaf_criminal_face_screening documenta actualmente esta estructura normalizada:
criminal_matchesface_qualityrequest_id
Precios y SLA
Las consultas de Sudáfrica - Análisis de antecedentes penales mediante reconocimiento facial solo se facturan cuando Didit recibe un resultado concluyente de la fuente de validación.- Precio por consulta: $8.00 USD.
- Facturación: por consulta exitosa. No se te cobra cuando el registro no está disponible, cuando faltan campos obligatorios o cuando la solicitud se rechaza antes de llegar a la fuente.
- Latencia: p95 típico < 2 s.
- Disponibilidad: 99.9% por trimestre por parte de Didit; la disponibilidad de la fuente externa varía según el país y el conjunto de datos.
Sigue leyendo
Última modificación el 1 de noviembre de 2026