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POST
/
forgery
/
analyse
/
analyse_docs_v2
Analyse document for forgery and inconsistencies
curl --request POST \
  --url https://api.insightai.in/forgery/analyse/analyse_docs_v2 \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: multipart/form-data' \
  --form document='@example-file' \
  --form doc_format=pdf \
  --form 'document_name=dipak kumar - frontend react.pdf'
{
  "id": 27,
  "document_name": "dipak kumar - frontend react.pdf",
  "response": [
    {
      "issue": "Inconsistent spaces after colons",
      "observation": "There are inconsistent spaces after colons in various sections...",
      "confidence_score": 75,
      "tampered": false,
      "tampering_type": "layout_anomaly"
    }
  ],
  "document_url": "https://insightai-testing-sse.s3.amazonaws.com/b823d8_document.pdf"
}
Performs document forgery analysis on uploaded documents.
The API checks for tampering, layout inconsistencies, value mismatches, and suspicious content patterns.

Authorizations

​
Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

multipart/form-data
​
document
file
required

Document file to be analysed (PDF, PNG, JPG, etc.)

​
doc_format
string
required

Type of document provided.

Example:

"pdf"

​
document_name
string

User-provided name of the document.

Example:

"dipak kumar - frontend react.pdf"

Response

200 - application/json

Document forgery analysis result containing anomaly detections, tampering indicators, and confidence scores.

​
id
integer

Unique analysis report ID.

Example:

27

​
document_name
string

Name of the analysed document.

Example:

"dipak kumar - frontend react.pdf"

​
response
object[]

List of detected anomalies or validation checks performed.

​
document_url
string

Temporary URL to access the stored document.

Example:

"https://insightai-testing-sse.s3.amazonaws.com/b823d8_document.pdf"