Harpa AI

Extracts and summarizes content from the current active web page, YouTube videos, PDFs, and email threads by accessing DOM content or video transcripts, then generates concise summaries with timestamp extraction for videos and source citations to prevent hallucination. Uses context-aware prompting to maintain accuracy relative to original source material rather than generating synthetic information.

Generates long-form content (articles up to 25,000 words, emails, social media posts, cover letters, resumes) using 25+ writing frameworks and templates, with optional style analysis to mimic user's existing writing patterns. Accepts framework selection, tone parameters, and target audience as configuration inputs, then orchestrates multi-turn generation with the selected LLM backend to produce structured, framework-compliant output.

Provides interactive language learning through dialogue generation, grammar explanations, and personalized learning plans. Generates conversational scenarios in target language with translations and explanations, provides grammar rule clarification with examples, and creates customized learning paths based on proficiency level and learning goals.

Generates professional resumes and cover letters by accepting user experience, skills, and job description inputs, then producing formatted documents optimized for ATS (Applicant Tracking Systems) and human review. Uses style mimicry to match user's professional voice and integrates with job description analysis to highlight relevant qualifications and keywords.

Allows users to create reusable automation commands by defining trigger conditions, action sequences, and output handling, then schedule commands to run at specified times or intervals. Supports natural language command definition, template-based automation, and integration with external services via webhooks for complex workflows. Commands can be saved and reused across multiple pages or shared with team members.

Extracts structured data from web pages by accepting natural language descriptions of desired data, then parsing page content and returning results in specified formats (JSON, CSV, spreadsheet). Uses page-aware content analysis to identify and extract relevant information without requiring users to write scraping code or XPath selectors.

Monitors product prices across e-commerce platforms (Amazon, AliExpress, Walmart, eBay, and 'virtually every e-commerce website') by periodically fetching page content and comparing prices against baseline, then triggers browser notifications when prices drop or items return to stock. Uses scheduled page monitoring with configurable check frequency and alert thresholds to automate price-sensitive purchasing decisions.

Sets up automated monitoring of any web page by periodically fetching and comparing page content against previous snapshots, then triggers notifications when changes are detected. Uses configurable check intervals and change detection logic to alert users to page updates without manual polling, supporting competitor monitoring, content updates, and job posting tracking use cases.

Automates repetitive web tasks by accepting natural language instructions or predefined automation templates, then executing sequences of form fills, button clicks, and page navigation through browser automation APIs. Integrates with Make.com, Zapier, and n8n for workflow orchestration, allowing users to chain web automation with external services via webhooks and API calls.

Provides flexible model selection across cloud providers (OpenAI GPT-4, Anthropic Claude, Google Gemini, DeepSeek, Perplexity, xAI Grok, Meta Llama) and local execution, with three configuration modes: token-based billing (75-225 Megatokens/year depending on plan), Bring Your Own API Keys (BYOK) for cost control, or web session connections (ChatGPT, Claude, Gemini) requiring no API key. Users can select default model and optionally specify model per operation, with token consumption tracked against plan limits.

Analyzes web pages and content for SEO optimization by extracting keywords, identifying long-tail keyword opportunities, and providing SEO audit recommendations. Processes page content to identify keyword density, semantic relevance, and competitive positioning, then generates actionable optimization suggestions for improving search visibility without requiring external SEO tools.

Generates code snippets and fixes bugs across multiple programming languages by accepting natural language descriptions or broken code, then producing corrected or new code using the selected LLM backend. Integrates with the browser context to allow inline code generation in code editors and documentation sites, supporting 40+ languages through tree-sitter AST parsing or equivalent structural analysis.

Integrates with Gmail to provide email drafting assistance, thread summarization, and grammar checking directly in compose interface. Analyzes email conversations to extract key points and decisions, generates professional email responses matching user's writing style, and provides real-time grammar and tone suggestions without leaving Gmail UI.

Generates detailed, optimized prompts for image generation models (Midjourney, DALL-E, Leonardo) by accepting high-level descriptions and automatically expanding them into structured prompts with style, composition, and technical parameters. Uses prompt engineering best practices and model-specific syntax to maximize image generation quality without requiring users to understand prompt engineering.