Google Patents Search

Google Patents Search compared with Derwent Innovation and Lens.org
Google Patents Search	Derwent Innovation	Lens.org
Data sources: Google Patents indexes over 120 million publications from 100+ patent offices, with full text from about twenty offices (US, Europe, Japan, China, South Korea, WIPO and others). Google states that coverage is not guaranteed to be complete.	Data sources: The product, now named Derwent Patent Search, covers more than 100 patent offices and adds Derwent World Patents Index records for 50 key jurisdictions. Titles and abstracts in those records are rewritten by editors.	Data sources: Lens combines patent records with more than 200 million scholarly records compiled from sources such as PubMed, Crossref and OpenAlex. Its citation graph links papers to the patents that cite them (PatCite).
Non-patent literature and language: Documents from Google Scholar and Google Books, and old manuals from the Prior Art Archive, are indexed and machine-classified with CPC. Patents in other languages are machine-translated so that English keywords find them.	Non-patent literature and language: Editors rewrite titles and abstracts in the DWPI records, which gives a uniform summary of documents from many offices.	Non-patent literature and language: Scholarly works are searched in a separate app next to patents, with PatCite showing which publications influenced which patents. Machine translation is not described on the pages consulted.
Search and analysis features: A simple search box with filters. It suits quick prior-art screening, reading a document with its figures, and following citations and CPC codes.	Search and analysis features: Advanced filtering, sorting, trend maps, activity charts and spreadsheet export are part of the platform, which is built for analysis rather than casual lookup.	Search and analysis features: Boolean and structured search, classification search, collections, alerts and visualisations that can be annotated and shared. A natural-language search is in beta, and PatSeq searches DNA, RNA and protein sequences disclosed in patents.
Openness and data access: Free web interface. Programmatic access is not described in the help pages consulted, so large-scale extraction needs another source.	Openness and data access: A licensed, restricted-access resource from Clarivate, often provided through libraries. Check with Clarivate for current terms.	Openness and data access: Offers an API and bulk downloads for scholarly works, patents and biological sequences, and saved queries and search history in a user work area. Check its pricing page for the access tiers.
When to choose it: Choose it for a free first screening across many countries, in English, with Scholar and Books results alongside the patents. The help pages reviewed do not say how searches are stored, so read Google privacy terms before searching confidential topics.	When to choose it: Choose it when your organization needs curated abstracts and professional analysis and can pay for a license.	When to choose it: Choose it when you want free-to-use patent and scholarly data in one place, structured search for reproducible queries, or sequence searching for biotechnology.

Google Patents Search compared with Derwent Innovation and Lens.org

Google Patents Search

Derwent Innovation

Lens.org

Data sources: Google Patents indexes over 120 million publications from 100+ patent offices, with full text from about twenty offices (US, Europe, Japan, China, South Korea, WIPO and others). Google states that coverage is not guaranteed to be complete.

Data sources: The product, now named Derwent Patent Search, covers more than 100 patent offices and adds Derwent World Patents Index records for 50 key jurisdictions. Titles and abstracts in those records are rewritten by editors.

Data sources: Lens combines patent records with more than 200 million scholarly records compiled from sources such as PubMed, Crossref and OpenAlex. Its citation graph links papers to the patents that cite them (PatCite).

Non-patent literature and language: Documents from Google Scholar and Google Books, and old manuals from the Prior Art Archive, are indexed and machine-classified with CPC. Patents in other languages are machine-translated so that English keywords find them.

Non-patent literature and language: Editors rewrite titles and abstracts in the DWPI records, which gives a uniform summary of documents from many offices.

Non-patent literature and language: Scholarly works are searched in a separate app next to patents, with PatCite showing which publications influenced which patents. Machine translation is not described on the pages consulted.

Search and analysis features: A simple search box with filters. It suits quick prior-art screening, reading a document with its figures, and following citations and CPC codes.

Search and analysis features: Advanced filtering, sorting, trend maps, activity charts and spreadsheet export are part of the platform, which is built for analysis rather than casual lookup.

Search and analysis features: Boolean and structured search, classification search, collections, alerts and visualisations that can be annotated and shared. A natural-language search is in beta, and PatSeq searches DNA, RNA and protein sequences disclosed in patents.

Openness and data access: Free web interface. Programmatic access is not described in the help pages consulted, so large-scale extraction needs another source.

Openness and data access: A licensed, restricted-access resource from Clarivate, often provided through libraries. Check with Clarivate for current terms.

Openness and data access: Offers an API and bulk downloads for scholarly works, patents and biological sequences, and saved queries and search history in a user work area. Check its pricing page for the access tiers.

When to choose it: Choose it for a free first screening across many countries, in English, with Scholar and Books results alongside the patents. The help pages reviewed do not say how searches are stored, so read Google privacy terms before searching confidential topics.

When to choose it: Choose it when your organization needs curated abstracts and professional analysis and can pay for a license.

When to choose it: Choose it when you want free-to-use patent and scholarly data in one place, structured search for reproducible queries, or sequence searching for biotechnology.