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Neural Defend

Image and Face Deepfake Detection API

The NeuroVerify image and face deepfake detection API uses POST /detect/image, accepts one image in the required multipart file field, and requires x-api-key. The public contract supports JPEG, PNG, BMP, TIFF, WebP, and HEIC, with a 10 MB maximum, a minimum 224 by 224 pixel resolution, and exactly one face. This face-scoped image operation is not identity proof or document analysis. Read unified_face_authenticity_score.status first. A no-face or multiple-face result can arrive on HTTP 200 as a billable rejection with no risk score.

Maintained byNeural Defend
Updated August 7, 2026
Siva Shankar, Co-founder and CTO of Neural Defend.
Siva ShankarCo-founder & CTO
An article-specific diagram for Image and Face Deepfake Detection API organizes key sections including request contract, read the image envelope, handle operational outcomes.

Request contract

Send a POST request to the selected NeuroVerify server at /detect/image. Include x-api-key and one binary file in the multipart field named file. Let your HTTP library create the multipart content-type boundary.

The API corrects EXIF rotation. It requires a supported image, at least 224 by 224 pixels, no larger than 10 MB, with exactly one face. The GitBook documentation also states that the face endpoint is not intended for document analysis and that results on identity-document artifacts should not be relied upon.

Read the image envelope

The response envelope is unified_face_authenticity_score. It contains unique_trx_id, filename, content_type, status, status_code, billable, risk_score, risk_level, and message. Scored responses may also include ai_threat_signals.

A successful score has status success. Rejected and error outcomes carry null risk fields. Read status before risk_level, and do not translate null into low risk.

  • Low risk: lower observed risk, not proof that the image is authentic.
  • Medium risk: inconclusive evidence that should be reviewed with other context.
  • High risk: a reason to escalate, not a standalone automatic rejection.
  • Rejected: no authenticity score was produced.
An article-specific topic map for Image and Face Deepfake Detection API organizes key sections including read the image envelope, handle operational outcomes, request contract.

Handle operational outcomes

HTTP 200 can represent a successful score or a face-policy rejection. Status code 6 means no face was detected and status code 7 means multiple faces were detected. Both documented outcomes are billable and return no score.

Validation failures use HTTP 400 and should be corrected rather than retried unchanged. Server failures use the documented error state. Because each submission creates a new transaction, account for billability before retries or manual resubmission.

Evidence boundary

Limitations

  • The image endpoint is face-based and is not documented as a general document-authenticity endpoint or proof that an image is authentic.

Source record

Sources and references

  1. Neural DefendUnified Face Authenticity ScoreVerified August 7, 2026.
  2. Neural DefendUnified Image Face AuthenticityVerified August 7, 2026.

Build the workflow

Turn the image contract into a screening flow

Add authorization, input checks, explicit outcome branches, review routing, and audit correlation.

Open the image recipe