Document Tamper Check

Documents & Biometrics

Detect edited, forged or template-generated documents before you trust their contents.

Run a scanned ID, payslip, bank statement or certificate through forensic checks — pixel-level edits, font inconsistencies, metadata anomalies and known template fingerprints — and get a tamper score with the regions flagged.

Endpoint

POST https://app.emver.io/api/sandbox/v1/document-tamper-check

Authorization: Bearer YOUR_API_KEY

Content-Type: application/json

Accept: application/json

Request parameters

Field	Type	Description
`document` required	file	Document image or PDF
`document_type` optional	string	Document type hint

Example request

cURL

curl -X POST https://app.emver.io/api/sandbox/v1/document-tamper-check \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -d '{
    "document": "<base64>",
    "document_type": "string"
}'

import requests

response = requests.post(
    "https://app.emver.io/api/sandbox/v1/document-tamper-check",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Accept": "application/json",
    },
    json={
        "document": "<base64>",
        "document_type": "string"
    },
    timeout=60,
)
response.raise_for_status()
data = response.json()

const response = await fetch("https://app.emver.io/api/sandbox/v1/document-tamper-check", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json",
    "Accept": "application/json",
  },
  body: JSON.stringify({
      "document": "<base64>",
      "document_type": "string"
  }),
});

const data = await response.json();

$response = Http::withToken('YOUR_API_KEY')
    ->acceptJson()
    ->post('https://app.emver.io/api/sandbox/v1/document-tamper-check', {
        "document": "<base64>",
        "document_type": "string"
    });

$data = $response->json();

Replace YOUR_API_KEY and the placeholder values. Use the switch above to see production URLs.

Response

Structure · 200

{
  "status": INTEGER,
  "message": STRING,
  "data": {
    "tampered": BOOLEAN,
    "score": NUMBER,
    "anomalies": ARRAY,
    "regions": ARRAY
  }
}

Example · 200

{
  "status": 200,
  "message": "string",
  "data": {
    "tampered": true,
    "score": 0,
    "anomalies": "string",
    "regions": "string"
  }
}

Error · 4xx / 5xx

{
  "status": INTEGER,
  "message": STRING
}

See Errors & status codes for what each status means and which calls are billed.

About this API

Upload the document image or PDF. The API returns an overall authenticity score, the specific anomalies found and, for images, the bounding boxes of suspect regions so reviewers can look exactly where it matters.

Typical uses

Employment screening. Screen payslips, offer letters and experience letters before verification calls.
Lending. Catch edited bank statements and ITRs at application.

Questions

Does it read the contents too?: Pair it with ID Document OCR or Bank Statement Analysis for extraction; this API focuses on whether the document itself can be trusted.