Turn a PDF into a mobile-first landing page.
PDFLP keeps the document your audience came for, adds server-readable context, and places lead capture and reader analytics around it. It is designed for teams that need a useful next step without rebuilding a report inside a website builder.
By PDFLP · Last updated
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What the conversion actually changes
A normal PDF download ends the interaction. PDFLP creates a reading layer around that file: a mobile page with document context, a clear action, and optional contact capture before the download.
The first version preserves page layout as responsive images. The page also includes an owner-written summary, key takeaways, publisher information and metadata so the experience is more than an image with a button.
The workflow
- Upload a PDF of up to 50 MB and 100 pages.
- PDFLP validates and renders page images, then extracts available text.
- Create a landing page and set the title, summary, CTA and download policy.
- Choose unlisted by default, or opt into indexing after passing content-quality checks.
- Share one link and review views, page reach, CTA clicks and leads.
Privacy and search visibility are separate choices
The original PDF is stored in a private object bucket. Public page images and the original file have different access paths, and downloads use short-lived tokens.
Publishing a page does not automatically make it searchable. New pages use noindex and stay out of the sitemap until the owner explicitly enables indexing.
What search engines can understand
Image-only pages have limited search value. Indexable PDFLP pages therefore require a substantive summary, key takeaways and a real publisher identity.
This improves crawlability, but no tool can guarantee rankings, indexing, or citation by an AI assistant.
When this approach fits
- A B2B report or guide used as a lead magnet.
- A consultant's proposal, audit or market brief.
- Course material offered as a preview or download.
- A catalog, brochure or research note that needs a mobile reading experience.
- A workflow where the team wants context and follow-up signals instead of only download counts.