Extract structured product attributes from messy sources
Use built-in AI agents to pull product data from web searches, PDFs, images, URLs, and text, then capture it into your schema ready for enrichment and approval.
Designed for product data
Extraction isn’t just reading text. SKULaunch pulls specs, dimensions, materials, compatibility, and structured attributes.
Works across real-world sources
Extract from supplier PDFs, catalogues, web pages, product images, and raw descriptions without manual retyping.
Outputs your team can use
Results are captured as structured attribute values, ready for review and enrichment workflows.
What you can do in Enrichment Studio
Integrated Web Search (OpenAI + Google)
Find relevant sources quickly and extract key attributes from trusted results.
Document Extraction (PDFs and files)
Extract attributes from product sheets, catalogues, and specification tables.
Page Scraper (web pages)
Pull structured data from product pages and online catalogues.
Image Extraction
Read product labels and packaging details from images.
Text Extraction
Convert unstructured text into structured attribute values.
How product data extraction works
Select the product records you want to enrich, then attach the sources you already have, PDFs, URLs, images, or raw text.
Choose the right agent for the source type. SKULaunch extracts relevant attributes and structures the output for your schema.
Extracted values are organised into the right fields, with consistent formatting and units where possible.
Your team reviews the extracted data, then continues the workflow through enrichment and approval until publish-ready.
FAQs
SKULaunch can extract product data from PDFs and documents, web pages and URLs, product images, raw text, and structured standards sources where available.
SKULaunch includes a built-in Web Search agent (OpenAI + Google) that finds relevant sources online, then extracts product attributes from those sources into structured outputs.
Yes. Use the Page Scraper agent to pull structured product information from a URL such as descriptions, specifications, and key attributes.
Yes. Document Extraction is designed for spec-heavy sources, including product sheets and specification tables within PDFs.
No. Upload the document or provide the URL and run the relevant agent. SKULaunch handles the extraction workflow from there.
You get structured attribute values captured into your schema, ready for review and use within Enrichment Studio.