Platform
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Enrichment Studio
Enrichment & Content

Your data is
40% complete.
AI fixes the rest.

Enrichment Studio uses AI agents to find missing values, resolve conflicts, and improve attribute completeness across your entire catalogue — without your team touching a single row.

Book a free demo →
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The Notes App for Power Users - Techbeta X Webflow Template
The Notes App for Power Users - Techbeta X Webflow Template
The Notes App for Power Users - Techbeta X Webflow Template
Enrichment Studio Catalogue view for Makita DHP484 Combi Drill showing 6 attributes missing. Brand is Makita, Voltage is 18V, IP Rating and Max Torque are missing, Weight is 1.5kg.
100%
Tasks completion rate
10M+
Capital raised

500

SKUs extracted per minute

8 sources

PDF, URL, image, text, web search + more

90-95%

Extraction accuracy
How it works

Extract from any source. Structure to any schema.

Five extraction modes — all producing the same structured output, mapped to your attribute schema.

📄

PDF extraction

Spec sheets, catalogues, instruction manuals, CE certificates. AI reads tables, bullet points, and prose — then maps extracted values to your schema.

🔗

URL scraping

Paste a product page URL. AI extracts attributes from the page content, meta fields, and structured data — no scraper configuration needed.

🌐

Web sourcing

No source file? No problem. AI agents search the web using Gemini or OpenAI to find authoritative product data and extract attributes automatically.

🖼️

Image extraction

Product images and packaging shots. AI reads visible specs, labels, and copy from photos — useful when no structured content exists.

📝

Text extraction

Raw text blobs, copy-pasted descriptions, or unstructured data fields. AI parses natural language and extracts structured attribute values.

PDF EXTACtion

Spec sheets weren't designed to be parsed. AI doesn't care.

Most product data is locked inside PDF spec sheets. Tables, bullet lists, footnotes, multi-column layouts — AI reads them all and pulls out structured values mapped to your attribute schema.

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Reads tables, lists, paragraphs, and mixed layouts
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Handles multi-page documents and catalogues
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Extracts multiple products from a single document
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Maps extracted values to your schema automatically
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Flags ambiguous extractions for human review
Product specification sheet showing input voltage 18V DC, no-load speed 0-550 and 0-2100 rpm, weight 1.5 kg, and mapped schema with voltage 18V, speed 1 at 550 rpm, speed 2 at 2100 rpm, and weight 1.5 kg.
Url scraping

All product page URL is all you need

Paste a manufacturer or supplier product page URL. AI reads the page — structured data, visible text, meta fields — and maps it to your schema. Works on any product page, any domain, no scraper config.

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Extracts from any publicly accessible product page
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Reads JSON-LD and schema.org structured data when present
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Falls back to visible page content when structured data is absent
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Batch mode — submit a list of URLs, get all products back
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Handles redirects, popups, and dynamic content gracefully
URL extraction tool interface showing extraction of 11 attributes including Brand: Makita, Voltage: 18V, Motor: Brushless, Weight: 1.5kg, IP Rating: IP54, Chuck: 13mm, Max Torque: 54Nm from a product page URL.
Web sourcing

No source file? Let AI find the data for you.

When you don't have a PDF, URL, or image on hand, web sourcing fills the gap. AI agents search the open web using Gemini or OpenAI to find manufacturer pages, distributor listings, and spec databases — then extract and map attributes to your schema automatically.

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Powered by Gemini Search or OpenAI Web Search — your choice
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Searches multiple authoritative sources per product
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Cites the source URL for every extracted value
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Ideal for catalogue gaps, new SKUs, or hard-to-source specs
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Confidence scoring flags low-certainty attributes for review
Specification sheet showing PDF extraction with input voltage 18 V DC, no-load speeds 0-550 and 0-2,100 rpm, and weight 1.5 kg, mapped to schema with voltage 18V, speeds 550 rpm and 2,100 rpm, and weight 1.5 kg.
Schema mapping

Extracted data maps to your schema. Not theirs.

Every extraction maps to your attribute schema — not the source's field names. "Input voltage" becomes "Voltage." "Weight (without battery)" becomes "Weight." No manual mapping required.

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Auto-maps extracted values to your schema attributes
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Normalises units and formats during extraction
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Confidence score per mapped attribute
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Low-confidence mappings go to review queue
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Override or add custom mapping rules anytime
Schema mapping table showing source fields: Input voltage, Wt. without battery, Protection class, Max. fastening torque mapped automatically to schema fields: Voltage (V), Weight (kg), IP Rating, Max Torque (Nm).
also in enricment & content

Explore the full platform

Enrichment & Content is one of three pillars.

Enrichment & content

Enrichment Studio

Fill gaps, resolve conflicts, and score completeness across your entire catalogue.th

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Enrichment & content

Product Data Extraction

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Enrichment & content

Content Generation

Turn extracted attributes into publish-ready product descriptions with AI.

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Source onboarding

Import & Spreadsheets

When the data comes in as a file — AI maps and structures it before extraction kicks in.

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Data structure

Schema & Attributes

Define to extract before you extract it -- AI Generated schemes for any category

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See extraction on your own products

Book a 30-minute demo. Bring a PDF spec sheet or product URL — we'll extract it live.

Book a free demo
→

Product data enrichment that actually gets done — so your product pages convert, your search works, and your team stops living in spreadsheets.

PLATFORM
Imports & SpreadsheetsSupplier PortalEnrichment StudioProduct Data ExtractionContent GenerationAttributes & SchemaProduct Catalog EnrichmentProduct Data EnrichmentETIM Data MappingSupplier Data Onboardng Software
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For RetailersFor DistributorsFor MarketplacesFor PIMFor eCommerceFor SearchIntegrations
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