Generate FAQ from PDF — predicting what readers will ask and answering from the source
FAQs are the most useful piece of content a documentation team can produce, and the most often skipped. Writing them requires anticipating questions the document doesn't explicitly answer but readers naturally have. The FAQ generator handles both parts: it predicts the 6-10 questions a reader would realistically ask after reading the source, then answers each from the source content with page citations. Here is what it produces, the three workflows where pre-built FAQs save support load, and how it handles questions the source doesn't actually answer.
How the generator picks questions
The tool reads the source PDF, identifies the topic, and runs a prediction pass: "if a reader of average background reads this document, what would they most likely want to know that isn't immediately obvious?" The output is 6-10 question/answer pairs. Each answer is grounded in the source content with a page citation where the relevant material appears.
Questions are filtered for usefulness — "What is the document about?" is too generic and gets cut; "How long does the process described take?" is the kind of question a reader actually has. The generator favors questions that surface practical implications, edge cases, or counterintuitive points over questions whose answers are already prominent in the source.
How it handles questions the source doesn't answer
Gaps are surfaced explicitly. If the FAQ generator predicts a question the reader would ask but the source PDF doesn't address it, that question appears in a separate "Not covered" section rather than being answered with fabricated content. Three things this enables:
- Honest scope. The reader knows what the document does and doesn't address. No hallucinated answers giving false confidence.
- Content gap identification. The "Not covered" section is a roadmap for what the document SHOULD address. Documentation teams use this to plan their next revision.
- Trust calibration. Answers that ARE covered carry more weight because the tool demonstrably refuses to make things up. The visible "Not covered" section is evidence of grounding discipline.
Three workflows where FAQ generation saves support load
Specific cases where pre-built FAQs pay off:
- Product documentation help-center. Whenever you publish a feature spec, run FAQ generation on it. Drop the FAQ next to the spec in your help center. Reduces "please explain X" support tickets noticeably.
- Onboarding material. New hires read the onboarding doc but always have follow-up questions. Pre-answering the predictable ones cuts onboarding-question load and surfaces the gaps in the onboarding doc itself.
- Sales / partnership review. Before a prospect or partner reads a heavy document (security questionnaire response, data-processing-agreement, product spec), generate the FAQ and send both. The FAQ answers the obvious questions; the source is there for follow-up.
FAQ vs Chat with PDF
Two adjacent AI tools, used differently:
- FAQ — push, not pull. Generated once, used many times. The question list is the AI's prediction; the answers are pre-built. Flat 5-credit cost. Useful when one author serves many readers.
- Chat — pull, not push. Each reader asks their specific question; the AI answers per-question. Cost scales with question count. Useful when each reader has different questions.
Editing the output before publishing
Three habits for polishing generated FAQs:
- Verify each answer against the source. Page citations make this fast. Trust grounded answers; spot-check anything that surprises.
- Re-order by importance. The generator's question order is roughly the order it predicted them in. Re-order by frequency-of-being-asked or by importance before publishing.
- Use the "Not covered" section as a documentation TODO. If 3 questions show up in "Not covered," they should probably be addressed in the next revision of the source document. The generator tells you what to add.
When FAQ isn't the right shape
Three cases where a different tool fits better:
- You want a structured summary. FAQs surface specific questions and answers. If you want the document's substantive content summarized, use Summarize or Key Points instead.
- Reader needs are highly varied. If readers' questions differ dramatically (different audiences with different concerns), a single FAQ is hard to write well. Provide PDF Chat instead so each reader can ask their specific questions.
- Source is short or focused. A 2-page brief usually doesn't need an FAQ — readers can read it directly. FAQ generation pays off on longer, denser documents.
Limits and pricing
Generate FAQ from PDF charges 5 credits per document. The tool handles PDFs up to 25 MB. Processing runs on our servers; the document is in memory only during generation and is never persisted. Output is Markdown with per-answer page citations.
Common pairings: FAQ + Key Points to publish both alongside a source PDF. FAQ + Chat for an interactive help-center pattern. Re-run FAQ after a document revision to surface what new questions the revised content might raise.