Meetings, emails, contracts, reports — AI-powered productivity, 100% local
Knowledge workers spend hours on repetitive tasks: summarizing meeting notes, drafting follow-up emails, reviewing contracts, generating reports, and searching across documents. This toolkit brings together 6 AI-powered tools that handle these tasks — all running 100% locally in your browser via WebGPU. Your meeting transcripts, contracts, and documents never leave your device. No API keys, no subscriptions, no data uploads.
Paste meeting transcripts and get structured summaries with action items.
Summarize meeting transcripts — extract decisions, action items, participants
Generate email replies — 5 tones, 8 languages, template library, key point extraction
Paste tasks — AI sorts into Eisenhower Matrix (urgent × important) for instant priority
Analyze contracts for risky clauses and read PDFs with AI assistance.
Generate executive reports and build a searchable knowledge base.
Most AI meeting tools (Otter.ai, Fireflies, etc.) record your meetings and upload them to cloud servers for processing. This raises privacy concerns — your internal strategy discussions, HR conversations, and client calls are stored on third-party servers. Our AI Meeting Summarizer takes a different approach: you paste the meeting transcript (from any source), and the AI model runs locally in your browser to generate a structured summary with key decisions, action items, and follow-up emails.
The tool works with transcripts from Zoom, Teams, Google Meet, or any other platform. Simply copy the transcript text, paste it in, and get an instant summary. The model (SmolLM2) runs via WebGPU or WASM fallback — no data leaves your device.
The Fine Print Decoder analyzes contracts and legal documents to identify risky clauses, hidden fees, one-sided terms, and unusual provisions. It highlights specific clauses with plain-English explanations and a risk rating — helping you spot issues before signing. Unlike legal AI services that upload your documents, this tool processes everything locally.
For general document questions, the AI PDF Reader lets you upload any PDF and ask questions about its content. The AI model indexes the document locally and answers your questions with citations. This is perfect for research papers, technical documentation, and lengthy reports.
No. All AI processing happens locally in your browser using WebGPU or WASM. Your meeting transcripts, contracts, PDFs, and emails never leave your device. There are no API calls, no cloud storage, and no tracking.
The tools use SmolLM2 (360M or 1.7B parameters), an open-source language model optimized for browser-based inference. The model is downloaded once (approximately 700MB-3GB depending on version) and cached for future use. You can manage and switch models in the AI model panel.
Yes. The tool handles transcripts up to 30,000 characters. For longer meetings, it processes the transcript in chunks and merges the summaries. The output includes: meeting summary, key decisions, action items with assignees, and a suggested follow-up email.
The Fine Print Decoder identifies common risky clauses (auto-renewal, unlimited liability, one-sided termination, hidden fees, non-compete, IP assignment) with high accuracy. However, it is not a substitute for professional legal advice. Always consult a lawyer for important contracts. The tool helps you spot issues to discuss with your attorney.
The Knowledge Base tool lets you upload multiple documents (PDFs, text files) and ask questions across all of them. The AI indexes your documents locally and provides answers with citations. Think of it as a private, local version of NotebookLM — no cloud, no data sharing.
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No paywalls, no signups, no data sold. Built by a solo developer who believes useful tools should be accessible to everyone.
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