moar
moar is a 100% private, offline-capable Chrome extension that optimizes and right-sizes documents for AI tools—preserving structure (headers, tables, footnotes) while cutting tokens by up to 95% and enabling up to 5× more usable AI conversations.
https://getmoar.ai/?ref=producthunt
Product Information
Updated:May 18, 2026
What is moar
moar is a “context layer” between your files and AI chat tools like ChatGPT, Claude, Gemini, Perplexity, DeepSeek, and Grok. Instead of pasting noisy, poorly extracted text into a model’s limited context window, moar converts documents into clean, AI-friendly formats (typically structured Markdown for prose and CSV for data), keeping the original meaning and key structure intact. It supports common formats including PDF, DOCX, PPTX, XLSX, CSV, TXT, MD, JSON, and HTML, processes files up to 50 MB, and runs entirely in your browser with no uploads, no accounts, and no telemetry.
Key Features of moar
moar is a Chrome extension that optimizes documents specifically for how LLMs (ChatGPT, Claude, Gemini, Perplexity, etc.) consume context: it extracts real document structure (not a noisy text dump), converts content into AI-friendly formats like Markdown (for prose) or CSV (for data), and then sizes or splits outputs to fit the selected model’s context window. It runs fully client-side in the browser (offline-capable), aiming to reduce token usage dramatically while preserving meaning, so you can include more relevant context and get longer, higher-quality AI conversations from the same subscription limits.
AI-native document optimization: Compresses documents by removing redundancy and formatting clutter while preserving semantic meaning, producing cleaner inputs for LLMs and often reducing tokens substantially (claims up to 95% reduction depending on content).
Structure-aware extraction to clean formats: Reads each file type using format-specific extraction engines and outputs structured content (e.g., prose to Markdown, data to CSV) instead of raw, artifact-filled text.
Platform-aware context window sizing: Lets you choose the target AI tool and plan tier, then shapes the output to fit that model’s real context window (e.g., ChatGPT vs Claude vs Gemini), preserving room for conversation.
Smart Select (query-driven extraction): A premium feature that works with your AI to surface only the most relevant sections for a question (a lightweight, in-browser alternative to traditional RAG workflows).
Intelligent Chunking with boundary context: For documents too large for any context window, splits the full document into right-sized chunks tailored to your model while preserving headers, cross-references, and context at chunk boundaries (premium).
Private, local-first processing: Processes everything in your browser with no uploads, no server, no accounts, and offline support—positioned for sensitive documents and privacy-conscious workflows.
Use Cases of moar
Financial and quarterly reporting analysis: Optimize board reports or quarterly filings to fit within an LLM context window, enabling faster Q&A, summarization, and issue-spotting without pasting huge, noisy extracts.
Legal and policy document lookup: Use Smart Select to pull only relevant clauses (e.g., HOA bylaws, contracts, compliance policies) for questions like rules, approvals, penalties, or enforcement—reducing tokens and review time.
Research and literature review workflows: Convert research PDFs into structured Markdown and chunk long documents for systematic reading, synthesis, and citation-focused Q&A across multiple AI sessions.
Operations and analytics spreadsheets at scale: Turn large spreadsheets into AI-ingestible chunks sized to a target model, enabling analysis of quarterly ops, returns, or cost summaries that exceed any single context window.
Product specs and engineering documentation: Clean and structure specs, manuals, and logs so an LLM can reason over requirements, tables, and footnotes with fewer tokens and less formatting noise.
Personal knowledge and planning documents: Optimize dense documents like DnD rulebooks, wedding venue spreadsheets, or home lab budgets to make AI-assisted search, comparison, and decision-making easier within token limits.
Pros
Local-first privacy: runs in-browser with no uploads/telemetry and can work offline.
Better context efficiency: reduces noise and redundancy, often shrinking token counts and extending usable conversation length.
Model-aware outputs: sizes and chunks content to match specific AI context windows rather than a one-size-fits-all export.
Cons
Premium features required for advanced workflows: Smart Select and Intelligent Chunking are in the paid “moar Most” tier.
Chrome-extension dependency: primarily delivered as a Chrome extension, which may not fit all environments or browser policies.
Compression claims may vary by document type: token reduction is content-dependent (e.g., some structured data may shrink only slightly).
How to Use moar
1) Install moar: Go to the Chrome Web Store listing for moar and click “Add to Chrome” to install the extension.
2) Open the moar extension: Click the moar extension icon in Chrome to open its interface (it may open in a side panel).
3) Add a document: In moar, drag-and-drop a file into the drop zone or click to upload. Supported formats include PDF, DOCX, PPTX, XLSX, CSV, TXT, MD, JSON, and HTML (up to 50 MB per file).
4) Choose your target AI and plan tier (context sizing): Select the AI tool and plan tier you’ll paste into (e.g., ChatGPT Plus, Claude Pro, Gemini). moar will size the output to fit that model’s context window.
5) Optimize the document: Click “Optimize.” moar extracts the document’s structure (headers/clauses/tables/footnotes), removes noise and redundancy, and outputs AI-ready content (typically clean Markdown for prose and CSV for data).
6) Review fit vs. context window: Check moar’s token/fit indicators to confirm the optimized output fits your selected model’s context window (and see how many tokens you saved). If it still exceeds the limit, proceed to chunking (moar Most) or adjust your selection.
7) Copy or download the optimized output: Use moar’s “Copy” or “Download” option to get the optimized text, then paste it into your AI tool (ChatGPT/Claude/Gemini/Perplexity/etc.).
8) Use Smart Select for question-driven extraction (moar Most): If you only need specific parts of a large document, use Smart Select: type a query describing what you need (e.g., “What are the rules about exterior paint colors?”). moar surfaces the relevant sections and outputs a single right-sized chunk ready to paste.
9) Use Intelligent Chunking for oversized files (moar Most): If the full document can’t fit any context window (e.g., huge spreadsheets), run Intelligent Chunking. moar splits the document into multiple right-sized chunks tailored to your selected AI, preserving headers, cross-references, and boundary context, and provides setup instructions for processing across multiple conversations.
10) Access your library/history (optional): Open the Library to view previously optimized documents, token savings, and processing history. This history is stored locally on your device.
11) Manage privacy and delete data (optional): moar runs locally in your browser (works offline, no uploads/telemetry). To delete moar data, clear your browser’s local storage or uninstall the extension.
moar FAQs
moar is a Chrome extension that optimizes documents for AI tools (e.g., ChatGPT, Claude, Gemini, Perplexity). It extracts document structure, removes noise/redundancy, and outputs clean Markdown/CSV sized to your model’s context window.
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