Arvin

Enables real-time conversation with an AI assistant directly within the browser interface, with automatic extraction and injection of visible web page content into the conversation context. The system captures DOM elements, selected text, or full page content and passes them as context to the underlying language model without requiring manual copy-paste, reducing friction in analysis workflows.

Provides real-time writing suggestions, grammar corrections, tone adjustments, and content expansion directly within text input fields on web pages. The system analyzes text as it's being typed or after selection, offering alternatives without interrupting the writing flow. Uses pattern matching and language model inference to suggest improvements while maintaining the writer's original voice and intent.

Provides in-browser translation of web page content and user-generated text into multiple languages, with support for maintaining formatting and context. The system detects source language, translates content while preserving HTML structure and links, and allows users to toggle between original and translated versions without reloading the page.

Automatically extracts and summarizes the main content from web pages, articles, or documents with configurable summary length and detail level. The system uses content extraction algorithms to identify main text (filtering out navigation, ads, sidebars) and passes it to a language model for abstractive or extractive summarization, returning structured summaries with key points highlighted.

Generates new content (articles, social media posts, email drafts, marketing copy) based on web page context, user prompts, and configurable templates. The system extracts relevant information from the current page and uses it as source material for content generation, supporting multiple output formats and tones. Templates guide the generation process to produce structured, ready-to-use content.

Provides a persistent, always-accessible chat sidebar within the browser that maintains conversation history and context across multiple pages and sessions. The sidebar uses a fixed DOM overlay or browser extension panel that doesn't interfere with page content, allowing users to reference previous messages and maintain conversation continuity while browsing different websites.

Provides quick text transformation functions (case conversion, formatting, code beautification, markdown conversion) accessible via context menu or keyboard shortcuts. These utilities operate on selected text and apply transformations in-place or copy results to clipboard, supporting common developer and writer workflows without requiring external tools.

Enables semantic search across page content using natural language queries, finding relevant sections or information without requiring exact keyword matching. The system indexes page text and uses embedding-based retrieval to locate content semantically similar to user queries, highlighting results and scrolling to relevant sections automatically.

Generates code snippets based on user intent and current web context (e.g., API documentation, code examples on page), and provides explanations of code found on web pages. The system extracts code blocks from pages, analyzes them, and generates related snippets or explanations without requiring manual code copying or switching to a code editor.

Provides AI-powered search and organization of browser history and open tabs, allowing users to find previously visited pages or open tabs using natural language queries. The system indexes tab titles, URLs, and page content, enabling semantic search across browsing history without requiring manual bookmarking or folder organization.

Allows users to highlight and annotate web page content with AI-generated insights, summaries, or follow-up questions. The system stores annotations locally or syncs them to a backend, enabling users to build a personal knowledge base of highlighted content with AI-generated context and connections between related highlights.