Books Search lets visitors search a book catalog using titles such as Dale Carnegie and The Phoenix Project.

books-search.typesense.org
Books Search homepage screenshot

About Books Search

Books Search is a web search experience for a catalog of books from Open Library, an Internet Archive initiative. Visitors can search by title, author, or topic using Typesense, described as an open source typo-tolerant search engine. The site is built with the Typesense Adapter for InstantSearch.js and is hosted on S3 with CloudFront. The search backend runs on a geo-distributed three-node Typesense Cloud cluster with nodes in Oregon, Frankfurt and Mumbai. Pricing is not stated, and the homepage links to source code for building a similar search experience.

Key features

  • Searches a book catalog with typo-tolerant matching.
  • Uses the Open Library dataset from the Internet Archive.
  • Built with the Typesense Adapter for InstantSearch.js.
  • Hosted on S3 with CloudFront for CDN delivery.
  • Backend runs on a geo-distributed three-node Typesense Cloud cluster.
  • Links to source code for building a similar search experience.
Best for: Readers who want to search Open Library book metadata by title, author, or topic.
Good for
  • Typo-tolerant search powered by Typesense.
  • Uses Open Library metadata from the Internet Archive.
  • Geo-distributed backend with nodes in Oregon, Frankfurt and Mumbai.
Watch out for
  • Search coverage depends on Open Library metadata.
  • Pricing is not stated.

Books Search at a glance

Type
Website
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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Books Search FAQ

What book data does Books Search use?
The books dataset is from Open Library, an initiative of the Internet Archive.
What search engine powers Books Search?
The search experience is powered by Typesense, an open source typo-tolerant search engine.
Can developers build a similar search experience?
The homepage links to source code that shows how to build your own search experience like this one.
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