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📚Genre and audience tagging
Detects fiction sub-genre, age rating and reader profile from title, author and annotation — no manual sorting of 10,000 SKUs.
Revenza turns ISBN and back-cover blurbs into unique Prom.ua cards with genre, age rating and edition year. 500 books in under 2 hours.
Sound familiar?
You copied the back-cover annotation into 4,000 cards — Prom.ua flags duplicates and ranking drops
Every card is rewritten as unique copy — 300–1500 characters tuned for Prom.ua's duplicate check
Buyers keep asking 'is this Harry Potter in Ukrainian, English or Polish?' because edition language is missing from the title
Edition language is pulled from the feed and stated in the first line: 'Видання українською, переклад В. Морозова'
Cover type (hardcover/softcover/gift edition) and format (A5/A4) sit nowhere in the description — gift shoppers leave for Yakaboo
Cover type, format and page count appear as a structured block buyers scan in 3 seconds
Non-fiction cards don't show publication year: a 2010 investing book and a 2024 one look identical to the buyer
Publication year is extracted from ISBN/feed and shown for non-fiction, textbooks and reference titles
Descriptions say 'interesting book' with no genre, no 12+/YA/adult marker, no answer to 'who is this for'
AI assigns genre, target age (6+, 12+, YA, 18+) and a one-line 'who it's for' summary
ISBN and УККП get lost in supplier feeds and Prom.ua filters can't pick them up
ISBN and УККП are written into both description and Prom.ua attribute fields for correct filtering
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.
Import the catalog you already use — Google Books Feed, Rozetka XML or Prom.ua 'Книги' category export all work.
Choose neutral, warm or expert tone and set whether your store leans children's, academic or general fiction.
Each description is unique, includes language, cover, year, genre and ISBN, and fits Prom.ua's 300–1500 character window.
Download the updated XML or push directly — attribute fields for filters are filled alongside the description.
Detects fiction sub-genre, age rating and reader profile from title, author and annotation — no manual sorting of 10,000 SKUs.
States edition language and translator name where relevant — kills the #1 question Ukrainian book buyers ask before checkout.
Pulls hardcover/softcover, dimensions, paper and page count into a clean spec list buyers compare across listings.
Validates ISBN-13, fills УККП for the UA market and writes both into Prom.ua attributes for category filters.
Generates back-to-school framing in August–September and gift-edition framing in November–December without rewriting cards.
Rewrites the publisher annotation in your own words — stays well under the 10% threshold and avoids copyright complaints.
Each SKU gets its own description. The AI reads the variant data — language, cover, format, ISBN — and writes 5 distinct cards. Prom.ua's duplicate check passes because the body text differs, not just the title.
Revenza rewrites the source text rather than copying it. Output stays under the 10% Fair Use threshold for direct quotation. You can also feed only ISBN and let the AI generate from public metadata if you prefer to skip publisher copy entirely.
Yakaboo's strength is structured specs (language, year, cover, pages) plus a short editorial pitch. Revenza produces the same structure automatically for catalogs of any size, which is the gap most Prom.ua book sellers face.
Yes. Author, publisher, language, cover type, page count, year and ISBN are written into separate attribute fields so Prom.ua filters work. Buyers filtering 'українська мова, тверда обкладинка' will actually find your books.
The AI generates the description from title, author and any feed data available, and flags missing ISBN/УККП for your review. Nothing is invented — empty fields stay empty rather than getting fake codes.
Throughput is roughly 250 cards per hour on standard plans, so 10,000 books finish in about 40 hours of processing — typically overnight across two runs. Pricing is per card, billed only for descriptions you accept.
Test Revenza on 50 SKUs free. See language, cover, year and ISBN handled automatically before September traffic hits.