OCR PDF to EPUB starts with proof that the recovered text is readable.

Best fit

Use cases

• Scanned PDFs with no embedded text layer.
• OCR layers that contain broken hyphenation or stray characters.
• Books where only risky pages should go to manual review.

Source-backed checks

What the page verifies against

• Scanned pages need OCR before they can become reflowable ebook text Tesseract is an open source OCR engine maintained by the tesseract-ocr project. Image-only PDFs and weak hidden OCR layers need a preview that verifies recovered text, paragraph breaks, and names before full conversion. Tesseract OCR project
• EPUB output is judged as ebook structure, not a text dump W3C EPUB 3.3 is a Recommendation dated January 13, 2026 that defines EPUB as a distribution and interchange format for digital publications and documents. That is why the preview checks headings, navigation, metadata, images, and reading order instead of only checking whether text was extracted. W3C EPUB 3.3 Recommendation
• PDF source files are page-oriented, so reflow has to be inspected The Library of Congress format description for PDF 1.7 describes PDF as a general document representation language for formatted, page-oriented documents. A file can preserve page appearance while exposing weak ebook structure, so the first pages need a real reflow preview. Library of Congress PDF 1.7 format description
• A useful conversion should leave room for EPUB conformance checks EPUBCheck is the W3C-hosted conformance checker for EPUB publications. For high-value books or documents, validation belongs after preview cleanup and before distribution to readers, Kindle workflows, Kobo workflows, or archives. W3C EPUBCheck
• The page exposes extractable Article, FAQ, and citation signals Google Search Central describes structured data as a standardized format for providing page information. These topic pages expose Article and FAQPage JSON-LD, plus source citations where evidence is present, so crawlers can extract the direct answer and supporting checks. Google Search Central structured data introduction

Cases

Examples this workflow is built around

• OCR fallback case The OCR page separates image-only PDFs from normal selectable-text PDFs and uses the preview to catch empty recognition, broken paragraphs, bad names, and dense-line collapse before full conversion.

Test record

Production checks used for this release

The September 4, 2026 release gate checks crawlability, topic coverage, pricing metadata, and the public upload-preview path before OTP-gated account steps.

• SEO audit npm run audit:seo passed after checking 63 sitemap URLs, 19 locale pages, 39 English topic pages, robots.txt, llms.txt, canonical URLs, hreflang alternates, schema markers, and internal assets.
• Production public smoke SMOKE_REQUEST_TIMEOUT_MS=60000 npm run smoke:prod completed the public production checks through 71 internal links and assets, then stopped at the expected SMOKE_EMAIL OTP gate.
• Predeploy release gate npm run verify:predeploy passed with TypeScript checks, 80 webapp tests, billing smoke, static build, and Cloudflare Workers dry-run deployment.

Questions

FAQ