Sightengine is an API platform for moderating and analyzing images, videos, text, and audio, helping teams detect unsafe, synthetic, or policy-restricted content and act programmatically.
Sightengine is an API platform for content moderation and media analysis across images, videos, text, and audio. It is built for teams that need to detect unsafe, unwanted, or synthetic content and then take programmatic action inside their own products.
The product combines moderation models, OCR and QR handling, AI-generated media detection, visual search, and image analysis tools in one workflow. The documentation says you can choose the models you need, combine multiple models in a single API call, and receive JSON responses that include confidence scores for each model.
The site positions the service for scalable moderation pipelines, with plans that range from a free tier for testing to paid plans for larger usage. The pricing page also notes support for live moderation on higher plans and custom options for enterprise customers.
Detect nudity, violence, weapons, hate symbols, gore, self-harm, drugs, alcohol, gambling, money, fire, military scenes, and religious content across images and videos. The moderation model set is designed for content safety and policy enforcement.
Detect profanity, personal information, embedded text, QR codes, and OCR text in images and videos. This supports moderation workflows where text is part of the media itself.
Identify AI-generated images and videos, deepfakes, and other synthetic media. The product also includes detection models for AI speech and AI music in the site navigation and documentation.
Find similar and nearly identical images or videos, and support custom disallow lists for abuse prevention. This is useful for spam control and duplicate-content review.
Assess image quality, face visibility, liveness, age groups, face analysis, and profile image validity. These tools help teams validate identity-related and profile-image use cases.
Moderate user-uploaded images and videos for nudity, violence, weapons, hate symbols, self-harm, and other policy-restricted categories before they are published.
Scan posts, comments, captions, or OCR-extracted text for profanity, personal information, restricted activity, or links that violate platform rules.
Detect AI-generated images, AI videos, and deepfakes when authenticity matters, such as marketplaces, identity checks, or editorial review.
Compare media against near-duplicate or custom disallow lists to reduce spam, repeated abuse, and circumvention attempts across uploads.
Validate profile photos by checking face visibility, quality, liveness, age group, and other image properties before account creation or verification steps.
Sightengine provides API-based moderation for images, videos, text, and audio. The documentation says you can choose the models you need, send media to the API, and parse the JSON response to act on the returned confidence scores.
The pricing page shows a Free tier for testing and proof-of-concepts, plus paid Starter, Pro, and Enterprise plans. The free plan can be used indefinitely, and paid plans can be changed or canceled at the end of the current billing period.
Yes. The documentation says you can combine multiple detection models in a single API call for efficiency, which can simplify moderation and analysis pipelines.
The source supports JSON-based API responses and includes example code for cURL, Python, PHP, and Node.js. It does not provide a complete list of SDKs or webhook options in the collected material.
Traffic data is for reference only.
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