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📚Genre + audience tagging
Detects fiction/non-fiction subgenre and assigns audience labels (12+, YA, adult, professional) used for Shopify collections and filters.
Revenza turns back-cover blurbs into search-ready Shopify product cards across 1,000–100,000 SKUs, with edition language, cover type and audience filled in.
Sound familiar?
Descriptions are just back-cover annotations copied as-is — no SEO targeting, no answer to 'who is this book for?'
Each description includes genre, target audience (12+/YA/adult) and a clear 'who it's for' line built for Shopify search
Edition language missing: customers keep asking whether 'Harry Potter' is the Ukrainian, English or Polish edition
Edition language is detected from the feed and stated in the first sentence, with locale variants for Shopify Markets
Cover type (hardcover/paperback/gift) and format (A5/A4) are absent, so gift buyers bounce to Yakaboo or Bookclub.ua
Cover type and physical format are pulled into the spec block and highlighted for gift-purchase decisions
Publication year hidden on non-fiction — a 2010 investing book sits next to a 2024 one with no clue which is current
Publication year and edition number surface on every non-fiction card, with a note on what changed in newer editions
ISBN and УККП codes scattered across spreadsheets instead of structured Shopify metafields
ISBN and УККП are written into Shopify metafields as structured data, not buried in Body HTML
'NYT bestseller' is mentioned but never explained — no audience tag (12+/YA/adult), no reason to read it now
Bestseller claims get context: which list, which year, why the book matters to a Ukrainian reader today
What Revenza does every day
1000
products in 1 hour
5¢
per description (Pro)
9
platforms supported
6
languages, one click
Face cream, moisturizes skin. Volume 50 ml. Brand: XYZ. Ingredients: water, glycerin…
Nourishes and restores your skin overnight. Formula built on 3% hyaluronic acid + argan oil. Visible results in 7 days.
Install the app, point Revenza at your Books collection or upload a Rozetka/Prom feed with ISBNs.
Choose UA, EN or PL voice, set audience presets (kids, YA, academic) and decide which fields go to metafields.
Process 400+ SKUs in about 2 hours; review a sample, approve, and push the rest to Body HTML and metafields.
Re-run before September back-to-school and the November–December gift peak to update angles and bestseller notes.
Detects fiction/non-fiction subgenre and assigns audience labels (12+, YA, adult, professional) used for Shopify collections and filters.
Reads ISBN and feed signals to state edition language up front, with separate locale content via Shopify Markets.
Fills hardcover/paperback/gift edition, page count and A5/A4 format into metafields so gift filters actually work.
Validates ISBN-13 and writes УККП for the UA market into structured metafields — required for commercial book sales in Ukraine.
Generates synopses and quotes the cover blurb without exceeding the 10% text threshold that triggers copyright issues.
Reads Google Books Feed, Rozetka.ua XML and Prom.ua 'Книги' exports, then writes Shopify Body HTML with headings and lists.
Shopify's generator writes generic marketing copy without genre, edition language or ISBN logic. Revenza is trained on book-store data, so it handles Ukrainian/English/Polish editions, cover types and УККП codes that the native tool ignores.
Yes. Revenza uses cover blurbs and publisher synopses under Fair Use and stays under the 10% text threshold. It never reproduces full chapters or large excerpts that would constitute infringement.
Revenza writes descriptions, not prices, but it knows books in Ukraine carry 0% VAT since 2022 and won't insert misleading tax claims. Price fields stay under your control in Shopify.
Yes. The pipeline is built for 1,000–100,000 SKU stores. Large catalogs run in batches by collection or publisher, with progress visible per batch and rollback per SKU if you don't like the output.
If ISBN is missing, Revenza flags the SKU and writes a conservative description from title, author and cover image, leaving structured fields empty rather than guessing. You decide whether to enrich manually.
No. Revenza follows your brand voice settings and your collection structure. The factual fields (ISBN, language, cover) are standard across the niche, but the narrative, hooks and audience framing are written per your store.
Connect your store, run a 50-SKU test on your slowest-moving titles, and see descriptions with genre, edition language and ISBN ready to publish.