Pagefind vs Typesense, which search engine wins for your brief, in 2026

Two search engines, side by side. Pagefind is static-site search via wasm. zero infrastructure. perfect for astro / hugo / eleventy sites. Typesense is open-source search server, algolia-shape api. self-host or typesense cloud. The verdict, the criteria, and the honest take below.

ALL SEARCH COMPARISONS →

Verdict in one paragraph

Build-time vs runtime. Pagefind ships search as static WASM at build, zero ops, perfect for static sites under ~25k pages. Typesense is a runtime search engine, handles real-time updates, larger corpora, and richer query patterns. For docs / blogs / marketing, Pagefind. For dynamic content sites or e-commerce, Typesense.

Score: Pagefind 3 · Typesense 3

Side by side

Pagefind
Typesense
Category
Embedded / static
Open-source server
Engine
Rust / WASM
C++
Pricing
Open source
Freemium
License
MIT
GPL-3.0
Created
2022
2019
GitHub stars
4.4k
23.4k
Vector
No
Yes

Decision criteria

  • Which is the right pick for static sites under 25k pages?

    Pagefind

    Zero ops, free forever, indexes at build time. The simplest path.

  • Which handles real-time index updates?

    Typesense

    Pagefind indexes at build. Typesense updates in real time.

  • Which scales past 25k documents?

    Typesense

    Pagefind's WASM index grows with the corpus and browser-fetch cost rises. Typesense scales further.

  • Which is cheaper?

    Pagefind

    Pagefind is free. Typesense has either VPS cost or Cloud subscription.

  • Which has the better instant-search UX?

    Typesense

    Typesense + InstantSearch components are purpose-built for instant-search UI. Pagefind has a default UI but it is simpler.

  • Which is faster to ship for a docs site?

    Pagefind

    Add Pagefind to your Astro / Hugo build, done in 10 minutes.

What Pagefind is best for

  • Static / Jamstack sites with fewer than ~25k pages
  • Documentation, blogs, marketing sites where adding any service is overhead
  • Astro / Hugo / Eleventy / Jekyll deployments
  • Cost-zero search where infrastructure spend is not justified

Read the full Pagefind entry: /search/pagefind/

What Typesense is best for

  • Algolia-shape workloads at a fraction of the cost
  • Self-hosted search with InstantSearch-compatible UI
  • Mid-market e-commerce with budget constraints
  • Apps that need vector + lexical hybrid without the Elastic operational footprint

Read the full Typesense entry: /search/typesense/

The search engine choice is the easy half, your relevance design is the hard one

The hard half is your typo tolerance, synonym dictionary, relevance tuning, and the analytics loop. The 30-min call is where you describe your corpus and your conversion bar; I tell you whether Pagefind or Typesense (or something else) is your fit.