Content Analyzer is a B2B content moderation and image annotation service from Proflakes Smart Solutions Pvt. Ltd. It is used by trust and safety teams to detect risks, filter profanity, enforce compliance, and maintain brand integrity across user-generated content.
Its moderation workflow combines AI automation with human review, and the site describes three modes: AI moderation, manual moderation, and hybrid moderation. Content Analyzer supports real-time content scanning and multi-modal moderation across text, images, videos, and live streams. It also describes language-aware analysis for understanding context and nuance across multiple languages and dialects, along with customizable rule engines and custom rules for thresholds and category filters. The page also lists sentiment analysis, annotations, image annotation, image OCR, bounding box, polygon, and circle among its features. In its FAQ, it adds keypoint, segmentation mask, AI-assisted labeling, and JSON/CSV export for image annotation.
The service says it is chosen by teams in e-commerce, matchmaking, gaming, adult platforms, social media, live streaming, and government and policymakers. It states that it can moderate 7,500+ assets daily, operates 24x7, and is intended to help teams save manual review time, improve moderation speed, and turn moderation data into actionable intelligence for compliance and content decisions. It also says teams can onboard or bring their own AI model and integrate via API.
The footer and FAQ identify Proflakes Smart Solutions Pvt. Ltd. as the operator, and the FAQ says the service has served trust and safety teams since 2014.
Content Analyzer is a LLM eval & observability project. It focuses on automating the detection and moderation of harmful or non-compliant content across digital platforms. Content Analyzer is a B2B product aimed at platform operators and content managers. Content Analyzer is paid. It ships for the web.
It is developed by Proflakes, and it first shipped in 2024. Key capabilities include content moderation, sentiment analysis, and image annotation.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do