Text Summarizer
Summarize a long document without uploading it to a third-party API.
Summarizing research papers or transcripts required an API key or subscription just to compress text that stayed on the user's own machine.
A public deployment is available to try.
Case Study
Before
Research papers, long-form articles, and meeting transcripts needed quick summarization. Existing tools required API keys or subscriptions for basic text compression.
After
Created a privacy-first summarization tool that works offline. Researchers and students can quickly extract key points from long documents without uploading sensitive content to third-party services.
How it's solved
Built a text summarizer using extractive methods (TF-IDF sentence scoring) that runs entirely in the browser. Users can adjust summary length, highlight key sentences, and export results. No server processing needed.
Trade-offs
Extractive summarization pulls existing sentences rather than generating new ones — it can't paraphrase or synthesize across ideas.
Related Articles
Further reading on related topics from the blog
Building 100 Micro-Frontends: Lessons from a Solopreneur Journey
How I built and deployed 100 independently deployed micro-frontends on Vercel, the architecture decisions, trade-offs, and what I learned about scaling a one-person dev operation.
AI Integration Patterns for Web Developers: A Practical Guide
Practical patterns for integrating AI into web applications — from prompt engineering and streaming responses to building AI-powered tools that solve real user problems.
Essential AI Tools for Developers and Designers in 2025
A curated list of powerful AI tools that are transforming how developers and designers work, from OCR to design assistants.
Related Projects
More in Tech Domain · Book Dev