PDF to product listing
Doc2Shelf reads spec sheets, datasheets, safety data sheets, and catalogs, and turns them into clean, structured product data — specifications, attributes, and compliance fields — each with a confidence score.
Free plan included — no credit card required.
Product data is trapped in PDFs. Spec sheets, datasheets, safety data sheets, and catalogs hold everything you need to sell and comply — but in a layout built for reading, not for databases. Getting it out by hand is slow and inconsistent.
Doc2Shelf extracts that data with AI. It identifies product identifiers, specifications, materials, dimensions, and compliance-relevant fields, structures them consistently, and attaches a confidence score to every field so you know what to verify.
Add spec sheets, datasheets, SDS, or catalogs.
Structured fields are produced with confidence scores.
Check flagged fields against the linked source.
Export it, or feed it into listings and declarations.
Not every PDF is clean, so Doc2Shelf tells you how sure it is. Each extracted field carries a confidence score and links to the place in the document it came from, turning verification from a re-read into a glance.
The result is structured product data you can trust: consistent field names, normalized values, and a clear audit trail from data point to source document.
Doc2Shelf identifies the specifications and attributes buried in supplier PDFs — model numbers, dimensions, materials, capacities, ingredients, and other product-specific fields — and converts them into a consistent structure you can review and reuse.
Because the extraction stays linked to the source document, teams can verify an uncertain specification quickly instead of searching through the full datasheet again. The reviewed fields can then feed a listing, product database, declaration, or Digital Product Passport.
Extraction is the foundation for everything else. The same reviewed structured data can support Shopify and WooCommerce listings, reviewable eBay-targeted draft copy, EU/US declaration drafts, applicable GPSR content, and separate DPP-oriented structured JSON for downstream implementation.
Export the raw structured data as JSON or CSV if you want to use it in your own systems, or push it straight into a listing or declaration.
Upload up to 500 PDFs at once and let the background pipeline extract them in parallel. Reused extractions and consistent structure keep large catalogs coherent, and the review gate keeps quality high before anything downstream is published.
Dimensions, materials, capacities, and model numbers pulled into fields.
Every field shows how confident the extraction is.
Each value links back to its place in the document.
Export structured data for use in your own systems.
One extraction drives listings, declarations, and DPP.
Process up to 500 documents in parallel.
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