Buy Okkular if your catalogue is fashion or furniture and the bottleneck is tagging product images for search and filters. Choose Anglera if enrichment must mine supplier documents, cite its sources, and keep working after launch.
Both claim to enrich product data. This page is about where that claim stops.
Every tool in this market sells you one act and calls it the whole play. The useful question isn't whether Okkular is good at its act — it's what happens to the other two.
Mine every spec from every source.
Every value traced to a document you can open. The catalog is only as honest as what it was built from.
Aim the catalog at the buyer who actually buys.
Grounded data still loses if it answers questions nobody asked. Alignment is what turns specs into conversion.
Product data is a practice, not a project.
Markets move, suppliers reissue, buyers change what they ask for. A catalog that is right in March is wrong by August unless something is watching.
Scored against public documentation. Grouped by the three acts — so you can see which ones Okkular leaves on your desk.
Mines product images, feed fields, API data; no supplier PDFs
PDFs, spec tables, drawings, manuals, images, sites
Fills the taxonomy you configure upfront; proposes no new fields
Proposes fields your schema never had
Per-category attributes, preferred names, synonyms collapse variants
Normalizes and governs allowed values, versioned
Classifies SKUs to your taxonomy; segment attribute hierarchies
Auto-classifies; channel and marketplace mapping
Review queue shows predicted tags; no per-value source citations
Every value cites its source doc and page
Varies copy by product segment and channel, not buyer persona
B2B specifier and B2C shopper enriched differently
Search-term oriented, but synonyms configured by your team
Reviews, search, competitor rails, social — fed back
Description-Gen writes descriptions, channel variants, alt text
Original copy per persona and channel
Ingests and analyses existing images; generates none
Generates studio-grade imagery for photoless SKUs
Tags new products; human review gates each export
Re-enriches on its own after go-live
No catalogue completeness scoring or health tracking published
Scored against your standards; nothing publishes below bar
Direct integration to Shopify, SAP, PIM; CSV/JSON exports
Writes back to PIM, ERP, warehouse, commerce
Public REST API and docs; no webhooks or MCP server found
API, webhooks, and MCP servers
Software tool; your team reviews and approves tags
Anglera owns the work; review is a guardrail
Every enrichment tool on the market takes your schema as a given and fills the blanks in it. That ceiling is invisible: your catalog can hit 100% complete and still be missing the attribute that loses the sale — because completeness is measured against a schema someone drew years ago.
3/4 in0.75"3/4"19mm3/4 inchDN200.75 in (DN20)Six suppliers, six spellings, one physical size. Filters only work once they agree.
BlkblackBLACK MATTEMatte BlkRAL 9005Black — MatteFree text makes a colour filter useless. A governed value makes it a facet.
SS316316 StainlessStainless Steel 316A4 StainlessStainless Steel — 316 / A4Same alloy, four vocabularies, plus a trade name. Buyers search all of them.
“Buyer signals” is the emptiest phrase in this category, so here is the literal thing. Each of these is an observation from a live market, the gap it exposes, and the field that gets created as a result.
“Handle hits the wall when you open it” shows up across the 2- and 3-star reviews on a brass ball valve — and in the return reasons behind it.
Clearance is why the product came back, and no field anywhere describes it.
Handle Clearance (fully open)Millimetres, measured from valve centreline“left hand thread” is searched steadily on your own site and returns zero results — while you stock 240 left-hand-threaded SKUs.
You have the products. You do not have the attribute, so search cannot find them.
Thread DirectionRight-hand (RH) · Left-hand (LH)Contractors comparing compressors argue about noise in decibels months before any RFQ mentions it.
The dB rating is sitting in the supplier PDF. It is not a field, so it is not a filter.
Sound Level (dB)dB(A) at 1 m, integerFour of six competitors let a buyer filter welders by duty cycle. Your category has no such field.
Buyers who filter on duty cycle never see your catalog at all.
Duty Cycle% at rated amperage (e.g. 60% @ 200 A)Page 4 of the datasheet has “Ambient operating range −20 °C to +60 °C” in a table nobody ever mapped.
The data arrived years ago and died in a PDF because no field was waiting for it.
Ambient Operating RangeMin/max °C pairListings bounce for a missing Country of Origin that is printed on the packaging and in the customs paperwork.
A required field for the channel that was never required by the PIM.
Country of OriginISO 3166-1 alpha-2Okkular is an Australia/New Zealand-founded AI product enrichment and discovery platform for retail catalogues. Its core product, Tag-Gen, uses computer vision to turn product images, feed fields, and API data into structured attribute tags — product type, colour, pattern, material, style, occasion — plus search synonyms and image alt text, mapped to the customer's configured taxonomy. Description-Gen then writes SEO product descriptions and channel-tailored variants from that metadata. It also sells visual search and recommendations, targeting fashion, footwear, furniture, craft and DIY, and general merchandise.
Pricing: Partially public. Tag-Gen's Shopify listing publishes usage-based tiers billed in USD every 30 days: Small $80/mo for 100 images ($1.10 per extra), Medium $150/mo for 200 ($1 per extra), Large $350/mo for 500 ($0.90 per extra), each with a 60-day trial. Direct/enterprise, Description-Gen, visual search, and SAP/PIM/API pricing is undisclosed — the site routes to a demo request.
Okkular websiteFashion, footwear and furniture retailers whose products are best described visually — especially Shopify teams wanting image-driven tagging and SEO copy live fast at published, low-entry pricing.
We'd rather tell you here than in month three of an implementation.
Capability verdicts reviewed against Okkular's public documentation on July 14, 2026. Vendors ship quickly — if something here is out of date, tell us and we'll correct it.
Bring one category. We'll run Schema Foundry against it and show you the fields your schema doesn't have yet — on your own SKUs, in 30 minutes.
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