AI Product MatchingA guide by ScrapeWise. We make one of the tools compared here.

AI Product Matching › Datasheet matching

How do you match technical products by their datasheets?

Extract the key specifications from each datasheet or product page, such as dimensions, voltage, material and part numbers, normalise the units, and compare the specifications instead of the titles. Match on manufacturer part number first; use specification similarity for equivalents and replacements.

Updated 10 November 2026 by the ScrapeWise team.

Quick picks

If items have part numbers

MPN lookup

Exact and fast.

For equivalents and substitutes

Spec comparison

Weighted on the specs that matter.

For scraping product specs from shops

ScrapeWise (our product)

AI scrapers that return the fields you name.

Compared

Checked against public documentation and pricing pages, November 2026.
StepWhat happensTools
ExtractPull specs from PDFs and pages into fieldsPDF parsers, LLM extraction, scrapers
NormaliseConvert units and formatsRules and unit libraries
Match identifiersMPN, UPC, supplier codeExact lookup
Compare specsScore how closely key specs agreeWeighted rules or a classifier
Map to your SKUsLink matched items to your catalogueYour PIM or ERP

Which specs to compare

Identity specs
Part number, series, generation: these decide “same product”.
Fit specs
Dimensions, threads, connectors: these decide “will it fit”.
Performance specs
Power, capacity, rating: these decide “equivalent or better”.

Frequently asked questions

What is AI datasheet matching?

Using AI to extract specifications from datasheets and product pages, then matching products by those specs and part numbers rather than by title.

How do I map UPC and MPN to my SKUs?

Build a lookup table from your catalogue's UPCs and MPNs, normalise the codes (leading zeros, separators), and match incoming items against it before trying spec similarity.

Can LLMs read datasheets?

Yes. Language models can extract fields such as dimensions and ratings from PDFs and pages, but check a sample, as they can misread tables.

Why not just match on titles?

Technical titles are inconsistent and often omit the specs that matter, so two very different parts can have similar names.