Image Filter API checks one or more images for content safety signals with per-image flagged status, score, risk level, and credits. Built for free testing and stable API workflows.
API Examples
Submit Example
const response = await fetch('https://api.flaq.ai/api/v1/content/filter', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': 'Bearer YOUR_API_KEY'
},
body: JSON.stringify({
model_name: 'content-filter-image-standard',
type: 'nsfw',
images: [
'https://example.com/image-1.jpg',
'https://example.com/image-2.jpg'
]
})
});
const result = await response.json();
console.log(result.data);
Submit Example
import requests
response = requests.post(
'https://api.flaq.ai/api/v1/content/filter',
headers={
'Content-Type': 'application/json',
'Authorization': 'Bearer YOUR_API_KEY'
},
json={
'model_name': 'content-filter-image-standard',
'type': 'nsfw',
'images': [
'https://example.com/image-1.jpg',
'https://example.com/image-2.jpg'
]
}
)
result = response.json()
print(result['data'])
Submit Example
curl -X POST https://api.flaq.ai/api/v1/content/filter \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model_name": "content-filter-image-standard",
"type": "nsfw",
"images": [
"https://example.com/image-1.jpg",
"https://example.com/image-2.jpg"
]
}'
No result yet
Run a content detection request to see the structured response here.
Content Filter Image Pricing
| Parameters | Price | Original Price | Discount |
|---|
README
Fast & Affordable Image Filter API (FlaqAI Image Safety Detection)
FlaqAI Image Filter API delivers fast, affordable image safety detection for developers building upload moderation, creator tools, marketplaces, social platforms, and AI media workflows. This image moderation API helps you submit one or more images and receive per-image safety results, including flagged status, risk level, score, and credit usage. Built for scalable API integration on Flaq AI, Content Filter Image gives teams a practical way to review visual content before publishing, displaying, or using it in downstream generation pipelines.
Key Features of Image Filter API
- Fast Image Safety Detection: Check uploaded images quickly through a streamlined content filter API designed for product upload flows, media review, and automated moderation.
- Cost-Effective API Pricing: Use an affordable image moderation API for repeated safety checks across profile photos, listing images, community uploads, and AI-generated visuals.
- Per-Image Risk Results: Receive structured flagged status, confidence score, and risk level fields for each submitted image so your application can act on individual results.
- Image Detection: Detect adult or unsafe visual signals with a focused image safety workflow suitable for products that need practical content review.
- Multi-Image Input Support: Submit image batches in a single workflow for efficient review of galleries, product listings, campaigns, and creator uploads.
- Developer-Friendly Integration: Add image safety checks through a simple API request without building computer vision moderation infrastructure or custom scoring services.
How to Use Image Filter API for Image Safety on Flaq AI
- Input: One or more image URLs or uploaded images submitted for safety detection.
- Output: Structured image filter results with per-image flagged status, risk level, score, and credit usage through the FlaqAI image safety API.
- Detection Type: Focused image detection for applications that need practical visual content screening.
- Capabilities: Fast image moderation, batch image review, per-image risk scoring, upload safety gates, and developer-friendly API integration for scalable moderation workflows.
Best Use Cases for Image Filter API Integration
- Image Upload Moderation: Screen profile photos, community uploads, gallery images, and media posts before they become visible in your product.
- AI Image Workflow Safety: Check generated or user-provided images before saving, publishing, remixing, or sending them into additional AI workflows.
- Marketplace & Listing Review: Review product images, service photos, seller galleries, and promotional visuals before publishing them to buyers.
- Creator Platform Compliance: Help creator tools, design apps, and media platforms identify risky visuals while preserving a fast publishing workflow.
- Moderation Queue Automation: Route flagged images to human review while allowing low-risk images to move through faster, reducing manual review load.
Note Content safety results should be used as part of a broader moderation strategy. Review your own policies, handle edge cases carefully, and apply human review for sensitive decisions when needed.
Content Filter Image vs Competitors: Comparative Analysis
-
Content Filter Image vs. OpenAI Moderation API
OpenAI Moderation supports safety classification for text and image inputs. Content Filter Image focuses on affordable FlaqAI image safety detection with per-image flagged, score, and risk level outputs for teams building visual moderation inside Flaq AI workflows. -
Content Filter Image vs. Azure AI Content Safety
Azure AI Content Safety provides a broader enterprise platform for harmful text and image detection. Content Filter Image emphasizes fast setup, simple API responses, and focused visual safety checks for developers who need practical image moderation without a larger platform rollout. -
Content Filter Image vs. Amazon Rekognition Content Moderation
Amazon Rekognition Content Moderation is a mature cloud service for image and video moderation workflows. Content Filter Image offers a lean FlaqAI API path for teams that want straightforward per-image detection and cost-effective integration. -
Content Filter Image vs. Hive Moderation
Hive Moderation supports large-scale media moderation across many policy categories. Content Filter Image is a focused option for teams that need affordable image safety screening with structured results and easy API adoption. -
Content Filter Image vs. Custom Vision Moderation Models
Custom vision moderation models can support specialized policy definitions but require labeled data, model tuning, infrastructure, and ongoing evaluation. Content Filter Image provides ready-to-use image safety detection for teams that want to ship moderation faster with less operational overhead.