Best Content Moderation APIs Compared for Developers in 2026

Choosing the best content moderation API is less about finding a universal winner and more about matching the tool to your content type, policy requirements, and operating model.

For developers, the practical question is:

This guide compares the main options by workflow, not hype.

TL;DR

• Choose EvoLink Moderation 1.0 if you want an OpenAI-compatible content moderation API for text and images with a simplified risk_level summary.
• Choose OpenAI Moderation API if you already use OpenAI directly and want a free moderation endpoint for OpenAI-native workflows.
• Choose Sightengine if image, video, OCR, custom visual rules, and media-specific moderation are your main requirements.
• Choose Azure AI Content Safety if you are already in Azure and need text, image, prompt shield, protected material, or custom category workflows.
• Choose Amazon Rekognition if your moderation need is primarily image/video moderation inside AWS.
• Choose Perspective API if you mainly need text toxicity scoring for comments and discussions.

What makes a content moderation API good?

A good moderation API should map to the decisions your product needs to make.

The most important evaluation criteria are:

• Content type coverage: text, image, video, audio, or multimodal
• Category clarity: violence, hate, sexual content, self-harm, harassment, profanity, or custom rules
• Response shape: whether results are easy to map to allow / review / block decisions
• Latency and reliability: whether checks fit your user-facing workflow
• Review workflow support: whether you can queue edge cases for humans
• Pricing transparency: whether costs are predictable at your expected volume
• Integration fit: whether it fits your existing API platform, cloud provider, or SDK stack

No single API covers every possible policy. Most production systems combine automated moderation with logs, thresholds, user reports, and human review.

Quick comparison table

Pricing snapshot

Pricing and feature sets change often. Verify current official documentation before choosing a vendor.

EvoLink Moderation 1.0

The key production convenience is the summary field:

• risk_level
• flagged
• violations
• max_score
• max_category

That makes it easier to route content into allow, review, or block decisions without writing as much category-score aggregation yourself.

Use EvoLink when:

• you want an OpenAI-compatible /v1/moderations endpoint
• you need text and image checks in one moderation workflow
• you want flat per-call pricing
• you already use EvoLink for other AI API workflows
• you want a product page, docs, billing, and model access in one platform

OpenAI Moderation API

OpenAI is a strong fit when:

• you are already building directly on OpenAI
• you want a free moderation endpoint
• your policy maps cleanly to OpenAI's documented categories
• you are comfortable building your own thresholds, review queues, and logging

The main thing to watch is category-level input support. Image moderation is supported, but some categories are text-only. Teams should test the endpoint against real examples before relying on it as the only moderation layer.

Sources:

• OpenAI Help Center: Moderation endpoint pricing
• OpenAI model page for omni-moderation-latest
• OpenAI Moderation guide

Sightengine

Sightengine positions itself as an API for moderating images, videos, text, usernames, and other user-generated content. Its product pages emphasize visual moderation, text moderation, OCR/QR moderation, AI image and video detection, deepfake detection, and audio moderation on higher plans.

Sightengine is a strong fit when:

• image or video moderation is the center of the workflow
• you need media-specific categories like nudity, weapons, drugs, gore, hate symbols, or offensive signs
• you need OCR or QR-code moderation
• you want configurable moderation rules for a media-heavy product

Pricing is plan and operation based, so teams should verify current usage rules before purchase.

Sources:

• Sightengine content moderation
• Sightengine pricing

Azure AI Content Safety

Azure AI Content Safety detects harmful user-generated and AI-generated content. Microsoft documents text and image APIs, severity scores, Prompt Shields, protected material detection, groundedness detection, task adherence, and custom category features.

Azure is a strong fit when:

• your stack is already on Azure
• you need text and image safety APIs
• you want AI guardrail features such as Prompt Shields or protected material detection
• you need cloud-native identity, region, and enterprise controls
• you are comfortable with Azure's pricing and resource setup

Microsoft's docs list input limits, language support, region availability, and rate limits, so those details should be checked before production use.

Sources:

• Microsoft Learn: What is Azure AI Content Safety?
• Azure AI Content Safety pricing

Amazon Rekognition Content Moderation

Amazon Rekognition Content Moderation is designed to detect inappropriate, unwanted, or offensive image and video content. AWS positions it for social media, broadcast media, advertising, and ecommerce workflows where machine learning can reduce the amount of content that human moderators need to review.

AWS Rekognition is a strong fit when:

• your content is mostly image or video
• your application already stores media in AWS
• you want moderation integrated with AWS infrastructure
• you need predefined moderation labels and optional custom moderation workflows

It is not the right primary tool if your main need is text moderation.

Sources:

• Amazon Rekognition Content Moderation docs
• Amazon Rekognition Content Moderation product page
• Amazon Rekognition pricing

Perspective API

Perspective API is widely used for scoring the likely toxicity of comments. It is best understood as a text-focused tool for discussions, not a general multimodal moderation platform.

Perspective is a strong fit when:

• you run comments, forums, communities, or discussion products
• you need toxicity signals rather than broad media moderation
• your moderation problem is primarily text
• you want scores that can support queueing or ranking decisions

It is not a replacement for image, video, or marketplace media moderation.

Which content moderation API should you choose?

Use this decision rule:

For many real products, the answer is not one API. A durable moderation system often combines:

• automated API moderation
• product-specific rules
• threshold tuning
• user reports
• human review
• appeal handling
• audit logs

The API catches obvious cases at scale. The workflow handles the edge cases.

Integration best practices

1. Use allow / review / block decisions

Avoid a single safe/unsafe branch. Most applications need at least three paths:

• Allow low-risk content
• Review uncertain content
• Block high-risk content

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_EVOLINK_API_KEY",
    base_url="https://direct.evolink.ai/v1"
)

response = client.moderations.create(
    model="evolink-moderation-1.0",
    input=[
        {"type": "text", "text": user_content},
        {"type": "image_url", "image_url": {"url": image_url}}
    ]
)

summary = response.model_extra["evolink_summary"]

if summary["risk_level"] == "high":
    block_content()
elif summary["risk_level"] == "medium":
    send_to_review()
else:
    publish_content()

2. Test with real examples

Generic benchmark claims rarely predict your actual false-positive rate. Test your top candidates against:

• normal user content
• policy-violating content
• borderline content
• multilingual content
• adversarial prompts or uploads
• past support tickets and appeal cases

3. Separate API pricing from workflow cost

The lowest per-call price is not always the lowest total cost. Count:

• engineering time
• review queue tooling
• support tickets from false positives
• privacy and logging requirements
• vendor management
• operational monitoring

4. Review data handling and privacy

Content moderation often touches sensitive user content. Before choosing a vendor, check:

• data retention
• training use
• region support
• audit logs
• compliance terms
• enterprise contracts or DPAs

FAQ

What is the best content moderation API overall?

There is no universal best. EvoLink is a strong fit for OpenAI-compatible text and image moderation inside EvoLink workflows. OpenAI is a strong fit for free moderation inside OpenAI-native apps. Sightengine is strong for media-heavy moderation. Azure and AWS are strong for cloud-native enterprise stacks.

What is the best image moderation API?

Is OpenAI Moderation API free?

Yes. OpenAI's Help Center says the Moderation endpoint is free for OpenAI API users and does not count toward monthly usage limits.

Can one API handle all moderation?

Usually not. One API may cover your first layer, but production moderation often needs custom rules, human review, user reports, appeals, and product-specific policy logic.

When should I choose EvoLink Moderation?

Related moderation guides

• OpenAI Moderation API Pricing: Is It Free? Limits and Alternatives
• omni-moderation-latest Explained: OpenAI Moderation API Guide
• Image Moderation API Guide: How to Filter Unsafe User-Uploaded Images
• How to Add Content Moderation to Your Chatbot or AI Agent