What is moar?
moar is an AI-native document optimizer designed to streamline how large files interact with Large Language Models (LLMs). By extracting core document structures and converting them into clean, machine-readable Markdown or CSV, it allows users to feed massive amounts of data into LLMs while reducing token consumption by up to 95%.
Why Founders Need This
Context window limitations and token costs are two of the biggest bottlenecks for AI-powered workflows. If you are building automated research assistants or data analysis pipelines, sending bloated PDFs or PPTX files into a model is inefficient. moar removes the noise, ensuring your AI agents focus only on the critical data points.
Key Features
- Massive Compression: Reduce token usage by up to 95% without losing semantic meaning.
- AI-First Formatting: Translates documents into clean Markdown or CSV, which are the preferred input formats for most LLMs.
- Privacy-First Processing: All file processing happens locally in your browser. Nothing is uploaded to a server, making it safe for sensitive business documents.
- Smart Select (RAG-lite): Retrieve specific sections of your documents using natural language queries without needing a complex vector database setup.
How to Use It
Simply upload your file (PDF, DOCX, XLSX, etc.) to the moar web interface. The tool automatically processes the document in your browser. Once complete, you can copy the optimized Markdown output directly into ChatGPT, Claude, or Gemini to begin your analysis.
Pricing & Integrations
Currently, the moar optimization engine is free to use. It is compatible with all major LLMs, including ChatGPT, Claude, Gemini, Perplexity, DeepSeek, and Grok.
Alternatives
While tools like Parseur or Google Cloud Document AI are powerful, they are often built for enterprise-scale extraction or structured automation. moar distinguishes itself by being a lightweight, zero-trust, in-browser utility for individual developers and founders who need quick, ad-hoc document optimization.
