Eden AI

Explicit Content Detection

Explicit Content Detection in Eden AI automatically identifies and filters inappropriate or harmful material in text, images, or video content. This feature uses AI models to recognize offensive language, nudity, or violence, ensuring safe, compliant user interactions and content moderation across AI-driven platforms and applications.

Grammar Check

Grammar Check in Eden AI analyzes written input for grammatical errors, offering real-time suggestions to improve sentence structure, punctuation, and clarity. It enhances communication quality by refining language usage, making AI-generated or user-contributed text more professional, coherent, and suitable for various formal and informal conversational contexts.

Image Management

Image Management in Eden AI allows users to upload, organize, analyze, and retrieve images within AI agent workflows. It supports tagging, filtering, and optimization, enabling seamless integration of visual data. This feature enhances the agent’s ability to interpret and utilize images for intelligent decision-making and user interactions.

Labeling

Labeling in Eden AI tags data such as images, text, or video with relevant metadata or categories for easier identification and training. This feature is essential for supervised learning and dataset organization, helping AI models improve accuracy and performance through well-structured, human-assisted data classification.

Object Detection

Object Detection in Eden AI identifies and locates objects within images or video frames using computer vision. It enables AI agents to interpret visual scenes, recognize specific items, and trigger contextual actions. This feature supports automation, surveillance, inventory tracking, and enhanced interaction in visual environments.

Optical Character Recognition (OCR)

Optical Character Recognition (OCR) in Eden AI extracts text from scanned documents, images, or handwritten notes. It converts visual data into machine-readable formats, enabling search, analysis, and integration into workflows. This feature is vital for digitizing content, automating data entry, and enhancing accessibility.

Sentiment Analysis

Sentiment Analysis in Eden AI interprets emotional tone in text inputs, identifying whether content is positive, negative, or neutral. It helps AI agents adapt responses based on user sentiment, improving conversational relevance, customer support quality, and emotional intelligence in digital interactions.

Speech to Text

Speech to Text in Eden AI transcribes spoken language into written text using advanced audio recognition models. It enables real-time voice interaction with AI agents, supports accessibility, and allows for automated documentation of conversations, enhancing usability across voice-enabled applications and multilingual environments.

Spell Check

Spell Check in Eden AI scans user or agent-generated text for spelling errors, offering corrections in real time. It improves message clarity and professionalism, reducing misunderstandings and enhancing communication quality across various conversational or document-generation scenarios.

Syntax Check

Syntax Check in Eden AI validates code or text structure for compliance with language rules. It identifies incorrect formats, missing elements, or inconsistencies, aiding developers or content creators in maintaining correct and efficient code or natural language constructs within AI-driven applications.

Text Analytics

Text Analytics in Eden AI processes large volumes of textual data to extract insights, detect patterns, and identify key themes or entities. This feature enables AI agents to understand content at scale, powering business intelligence, content classification, and natural language understanding capabilities.

Video

Video capabilities in Eden AI include analysis, tagging, summarization, and content extraction from video files. AI agents can interpret visual and audio components to generate insights, automate moderation, or enhance multimedia experiences. This feature supports rich media workflows and enables advanced video understanding in conversational platforms.