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NSFW Filter 2.0

NSFW Filter 2.0 API For Image Moderation

AI Image Moderation With Structured Safety Results

NSFW Filter 2.0 helps developers screen images before they reach a feed, storefront, or shared gallery. Submit one PNG or JPEG, tune detection settings, and retrieve structured category labels for your application. This NSFW Detection API supports practical review workflows across AI products, SaaS platforms, and content communities.

NSFW Filter 2.0 API For Image Moderation
Structured Safety Results|Adjustable Detection Threshold|Special-Care Classification|Asynchronous API Integration

How NSFW Filter 2.0 Works

Connect the NSFW Detection API to a deliberate review process: submit one image, choose your detection settings, and wait for a completed classification before deciding what happens next.

1

Submit An Image

Send one accessible HTTPS image URL or PNG/JPEG Base64 Data URL to NSFW Filter 2.0. Create a task with POST /v1/inferences using model nsfw-filter-2, endpoint image-moderation, and provider seeapi. Include Authorization: Bearer, Idempotency-Key, and Content-Type: application/json headers.

2

Configure Detection Settings

Set threshold between 0.01 and 0.99; its default is 0.5, and lower values make detection stricter. Keep strict_special_care enabled when special-care matches should independently trigger flagged. Place both options inside input, alongside image_url. Add an optional HTTPS callback_url at the request’s top level.

3

Retrieve Moderation Results

Store the task ID returned by NSFW Filter 2.0. HTTP 202 means accepted, not completed. Query GET /v1/inferences/{id} until a terminal state, or handle the completion callback. When status is succeeded, read result.data and apply your review policy; inspect error after failure.

NSFW Filter 2.0 Integration Essentials

Build on the actual NSFW Detection API contract: explicit content labels, configurable matching behavior, and asynchronous JSON responses.

NSFW Detection And Special-Care Categories

NSFW Detection And Special-Care Categories

NSFW Filter 2.0 returns adult-content labels in categories.nsfw: nudity, sexual_activity, and sexual_suggestive. The separate categories.special_care group may contain sexual_minors for suspected sexualized content involving minors. Ordinary child photographs alone do not trigger that label. Treat every classification as a signal that needs context, rather than a verified fact about a person. With strict_special_care set to true, a special-care match independently makes flagged true. With false, special-care labels still appear but do not independently trigger that flag. This is an explicit behavior change to check when migrating from the older model, whose special-care setting strengthens normal concept matching. An NSFW Detection API can help prioritize a careful escalation process; it cannot establish age or make a final legal judgment. NSFW Filter 2.0 performs content detection without editing pixels or creating replacement images.

Adjustable Thresholds And Clear Migration Rules

Adjustable Thresholds And Clear Migration Rules

NSFW Filter 2.0 uses threshold, an optional number from 0.01 to 0.99 with a default of 0.5. Lower values make detection stricter. The old NSFW Filter instead uses threshold_offset from 0 to 0.1, in increments of 0.01, defaulting to 0.02. Do not copy the old parameter into a new request or assume these settings are interchangeable. NSFW Filter 2.0 also documents PNG/JPEG Data URLs and a 16 MiB limit; the legacy guide describes an accessible image URL and a 20,971,520-byte limit. Validate both dimensions and total pixels before submission. Test your NSFW Detection API settings against representative, lawfully handled examples and examine false positives alongside missed detections. These are documented interface differences, not evidence of a measured accuracy gain or a guaranteed performance improvement.

Structured JSON And Asynchronous API Integration

Structured JSON And Asynchronous API Integration

The NSFW Filter 2.0 API separates task execution from moderation outcome. A successful task has status succeeded, but its image can still be flagged. Read result.data.flagged together with categories.nsfw and categories.special_care; do not treat result: null as approval. The NSFW Detection API initially returns an accepted task, typically HTTP 202, while processing continues. A later HTTP 200 lookup only confirms that the query succeeded, so inspect status again. Use GET /v1/inferences/{id}, not the media-generation task route. Alternatively, send a top-level HTTPS callback_url. Verify webhook signatures, handle duplicate notifications, and acknowledge receipt with HTTP 2xx. NSFW Filter 2.0 gives your backend machine-readable signals for consistent routing and recovery.

Developer Workflows With Human Review

Developer Workflows With Human Review

Use NSFW Filter 2.0 at the point where your application decides to publish or distribute an image. A flagged result can hold a listing, restrict visibility, or create a human-review ticket according to your platform policy. A non-flagged result can allow the next workflow step, but does not prove universal safety. Keep failed checks distinct from completed classifications so network or preprocessing errors never become silent approvals. For marketplace catalogs, your application can schedule separate single-image requests; the NSFW Detection API does not take a batch image array. NSFW Filter 2.0 supports Automated Image Moderation while leaving sensitive judgments and escalation ownership with your team. All artwork here illustrates application scenarios and is not a real model test result.

Where To Use NSFW Filter 2.0

Add an NSFW Detection API wherever images enter your product. These four workflow groups cover social screening, commerce, AI-generated assets, and developer systems with human oversight.

Social Feeds And Community Uploads

Connect NSFW Filter 2.0 to social media submissions, community galleries, and profile photo review. The NSFW Detection API can provide an initial classification before content becomes widely visible. Route uncertain results to reviewers with the relevant context and policy. Use account and publication rules defined by your product, rather than assuming one label means the same action in every community.

Marketplace Listing Review

Screen seller product photographs, listing updates, and media-library additions with NSFW Filter 2.0. Image Safety Classification can help operators locate assets that deserve closer attention before publication. Submit each image separately and associate its result with the correct listing. An NSFW Detection API supports the review pipeline; it does not establish product authenticity, intellectual property rights, or comprehensive marketplace compliance.

AI Image Generation Safety Checks

Run NSFW Filter 2.0 after your image-generation service produces an accessible asset. Use NSFW Image Detection as a separate review stage before showing an output in public galleries or delivering it downstream. The NSFW Detection API analyzes the resulting image, rather than changing the generator’s restrictions. Hold failures for recovery, and make human escalation available when a classification is ambiguous.

Developer Automation And Human Review

Integrate NSFW Filter 2.0 into upload services, SaaS approval tools, and internal content queues. Your Image Content Moderation API workflow can turn returned labels into tickets, review priorities, and publication holds. Use the NSFW Detection API alongside application-specific rules, with special-care classifications sent through a careful escalation process. Reviewers should have appropriate access controls and enough context to make accountable decisions.

Review Workflow Expectations

These are clearly marked fictional placeholders for discussing NSFW Filter 2.0 workflows, not real customer feedback, verified results, or endorsements. No authorized customer testimonials were supplied.

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Clear category groups would help our reviewers decide which images need closer attention before publication.

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Review Workflow Placeholder
Trust And Safety Team
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A task ID and structured JSON would fit our existing approval service and asynchronous processing tools.

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Integration Placeholder
Backend Engineering Team
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Adjustable matching settings would let us evaluate review tradeoffs against our own community policy.

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Threshold Evaluation Placeholder
Product Team
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Separating image checks from listing decisions would make our review responsibilities easier to explain.

Catalog Review Placeholder
Catalog Review Placeholder
Marketplace Operations Team
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Special-care labels would need a careful escalation path, with contextual review by appropriately trained people.

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Escalation Placeholder
Moderation Operations Team
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Distinguishing processing, failure, and completed classification would help prevent missing results from becoming approvals.

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Reliability Placeholder
Platform Engineering Team

NSFW Filter 2.0 FAQ

Understand the inputs, detection settings, result meanings, and integration boundaries before putting NSFW Filter 2.0 into your image review workflow.

NSFW Filter 2.0 is SeeAPI’s single-image content moderation model. It analyzes an image for adult-content and special-care labels, returning JSON that can support risk routing and review. It does not generate images, modify images, remove sensitive pixels, or bypass restrictions. Use the NSFW Detection API as one input to a policy-driven moderation process.

Developer API Integration

Build With NSFW Filter 2.0

Read the NSFW Filter 2.0 API guide, get a key from SeeAPI's API Keys page, and connect structured image classifications to your existing application. Start with representative test images, define your review policy, and use the NSFW Detection API to support decisions your team can explain.

Single-Image Input
Structured JSON Results
Policy-Driven Review