> ## Documentation Index
> Fetch the complete documentation index at: https://docs.enkryptai.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Guardrail Detect Image

> Analyze an image with text using a saved guardrail with input/output mode selection



## OpenAPI

````yaml POST /guardrails/guardrail/detect-image
openapi: 3.0.0
info:
  title: Enkrypt AI APIs
  version: 2.0.0
servers:
  - url: https://api.enkryptai.com
security:
  - apiKeyAuth: []
tags:
  - name: Guardrails
  - name: Code of Conduct
  - name: Endpoints
  - name: Datasets
  - name: Redteam
  - name: Deployments
  - name: AI Proxy
  - name: Leaderboard
  - name: Archived
  - name: MCP Hub
    description: >-
      MCP Hub vulnerability scanning APIs. Submitting scans (the POST endpoints)
      is open to all authenticated callers. The scan **retrieval** APIs — Get
      Scan Job Status, Get Complete Scan Results, List Scans, and Get MCP Hub
      Scan Statistics (the GET endpoints) — are an **enterprise data-license
      feature**: they require your organization to have MCP Hub API access
      enabled by Enkrypt, otherwise they return `403`. Contact us at
      support@enkryptai.com to enable access.
  - name: MCP Registry Servers
  - name: MCP Gateways
  - name: MCP Playground
paths:
  /guardrails/guardrail/detect-image:
    post:
      tags:
        - Guardrails
      summary: Detect Image Using Guardrail
      description: >-
        Analyzes an image with text using a saved guardrail. Use X-Enkrypt-Mode
        to select input (prompt) or output (response) detectors.
      operationId: guardrail_detect_image
      parameters:
        - name: X-Enkrypt-Guardrail
          in: header
          required: true
          schema:
            title: Guardrail Name
            type: string
            description: The guardrail name
            example: My Guardrail
        - name: X-Enkrypt-Mode
          in: header
          required: true
          schema:
            title: Mode
            type: string
            enum:
              - prompt
              - response
            description: Whether to apply input (prompt) or output (response) detectors
            example: prompt
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/GuardrailDetectImageRequest'
      responses:
        '200':
          description: Multimodal image detection results.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/MultimodalGuardrailsResponseBody'
components:
  schemas:
    GuardrailDetectImageRequest:
      title: GuardrailDetectImageRequest
      type: object
      description: >-
        Request body for guardrail/policy-based image detection. Detectors are
        defined by the guardrail or policy; no inline detectors config is
        needed.
      properties:
        text_input:
          type: string
          description: The text prompt to accompany the image for analysis.
          example: Help me with the content in this image
        image_data:
          type: string
          description: Base64-encoded image file content.
          example: <base64-encoded-image-data>
      required:
        - text_input
        - image_data
    MultimodalGuardrailsResponseBody:
      title: MultimodalGuardrailsResponseBody
      type: object
      required:
        - summary
        - details
      properties:
        summary:
          type: object
          description: Per-detector integer flags (1 = detected, 0 = not detected).
          additionalProperties:
            type: integer
            enum:
              - 0
              - 1
          example:
            toxicity: 0
            nsfw: 0
            pii: 1
            injection_attack: 0
            policy_violation: 0
        details:
          type: object
          description: >-
            Per-detector detail objects containing human-readable results and
            any extra fields (e.g. entities for PII, explanation for
            policy_violation).
          additionalProperties:
            type: object
          example:
            toxicity:
              toxicity: Toxicity Not Detected
            nsfw:
              nsfw: NSFW Not Detected
            pii:
              entities:
                person:
                  John Doe: <person_0>
            injection_attack:
              injection_attack: Injection Attack Not Detected
            policy_violation:
              policy_violation: Policy Violation Not Detected
  securitySchemes:
    apiKeyAuth:
      type: apiKey
      in: header
      name: apikey

````