The FAQ page is the most rewritten, least read page on most sites — and the source material for it already exists. Help-center articles and READMEs answer the questions; they're just not shaped as Q&A, and they're not marked up for search.
I built FaqForge because writing FAQs from scratch is the wrong job when the answers are already in the docs.
30-second takeaway
- FAQs are extraction, not invention — and inventing them produces generic fluff.
- Docs → review-ready FAQ pairs plus FAQPage JSON-LD you can paste.
- The JSON-LD is the part teams skip, which is the part search cares about.
The FAQ nobody wants to write
Staring at a blank FAQ page produces two outcomes: either it stays blank, or it fills with questions nobody asks. Both waste the page. The real questions are already answered somewhere in the docs — they're just not in Q&A shape and not structured for Google.
Extracting them means the FAQ reflects what users actually need, and the JSON-LD makes it eligible for rich results without a separate SEO project.
What the tool does
Paste a help-center or README excerpt and get review-ready FAQs and copy-paste FAQPage JSON-LD. Built for indie SaaS founders shipping English GEO pages first. Open it and try — no signup.
FaqForge runs in the browser, no account, no key.
FAQ
What is FaqForge?
A tool that turns docs or README text into FAQ pairs and FAQPage JSON-LD markup. No account, no key.
Is the JSON-LD enough for rich results?
It's the structured data Google expects for FAQs; whether it triggers a rich result depends on the rest of your page. This gives you the markup without the manual schema work.
Will the FAQs be any good?
They're extracted from your real docs, so they reflect what you already say — you review and trim, instead of inventing from nothing.
Author's Process
This product was built with AI coding tools. The honest bit was resisting generated questions and sticking to extraction from real text.
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