LiteParse: a browser-based tool that extracts text from PDFs without servers

What changed

LiteParse, a PDF text extractor, has been ported to run fully in the browser. It parses standard PDFs locally using JavaScript, no server round trip, no API key, no file upload. The library can be embedded directly in any web app.

Why it matters

For vibe builders shipping document-handling MVPs, this removes the fastest way to bloat a stack. You no longer need a parsing service, an upload bucket, or an LLM call just to pull text out of an invoice or a contract. The user's file stays on their device, which is a real selling point for any tool aimed at lawyers, accountants, HR, or anyone handling sensitive documents. Build the extraction step client-side, then only send the cleaned text to your AI layer if the workflow actually needs reasoning.

What to watch for

Standard digital PDFs work well; scanned PDFs and unusual layouts will still need OCR or a heavier pipeline, so plan a fallback path. Bundle size matters for a snappy first load, so lazy-load the parser when the user actually drops a file. The bigger move is to redesign your funnel around the privacy story: lead with runs in your browser on the landing page, and watch your conversion on privacy-conscious segments. This is the kind of small infra choice that quietly differentiates a vibe-coded MVP from yet another ChatGPT wrapper.