TYPEMATCHSEO
Launch

TYPEMATCH.

V2.1

Browse Directory
700
400
PAIRING ID: LIB-JOS // ETHOS: SERIF + SANS-SERIF

Balancing Libre Caslon Text with Jost

Build a contrast-first system where Libre Caslon Text leads and Jost keeps long-form content legible.

Display Face

Libre Caslon Text

Weight: 700

Body Face

Jost

Weight: 400

This pairing is engineered for teams that need a clear hierarchy without sacrificing brand voice. Libre Caslon Text brings classic, text, readable energy to hero units, pricing sections, and campaign headlines. Jost absorbs the heavy lifting for paragraphs, product storytelling, and UI labels with its geometric, futura-like, modern texture and dependable rhythm. Together they create a typography stack that scales from high-impact landing pages to dense documentation without retooling your CSS tokens.

Typographic Hierarchy & Scale

H1The Quick Fox
H2The Quick Fox
H3The Quick Fox
PThe quick brown fox jumps over...
Dark Context
Aa

High contrast negative space.

Accent
Gg

Legibility on high-chroma.

Pairing Strategy

Balancing Libre Caslon Text with Jost

Build a contrast-first system where Libre Caslon Text leads and Jost keeps long-form content legible.

This pairing is engineered for teams that need a clear hierarchy without sacrificing brand voice. Libre Caslon Text brings classic, text, readable energy to hero units, pricing sections, and campaign headlines. Jost absorbs the heavy lifting for paragraphs, product storytelling, and UI labels with its geometric, futura-like, modern texture and dependable rhythm. Together they create a typography stack that scales from high-impact landing pages to dense documentation without retooling your CSS tokens.

Libre Caslon Text thrives as a headline face thanks to its classic, text, readable qualities. Use weights 700–900 for crisp editorial lockups.
Jost excels in paragraphs and UI thanks to its geometric, futura-like, modern traits. Keep it between weights 400–600 for optimal readability.
Hierarchy guidance: run a 1:1.4 modular scale and reserve Libre Caslon Text for H1–H3 while Jost powers captions, body copy, and data tables.

Best-Fit Use Cases

  • High-growth SaaS landing pages that require classic hero statements with trustworthy product copy.
  • Editorial magazines and thought-leadership hubs where Libre Caslon Text can dramatize pull quotes while Jost keeps 1,500-word essays skimmable.
  • Conversion funnels or onboarding flows that need Jost's geometric voice to balance Libre Caslon Text's attention-grabbing display.

Accessibility Notes

Maintain a minimum 4.5:1 contrast ratio for Jost body copy and loosen letter-spacing to 0.01em for uppercase Libre Caslon Text moments. Pairing different categories demands disciplined color pairing—test both light and dark themes to ensure Jost does not bloom at small sizes.

CSS Implementation Cheatsheet

:root {
  --tm-header-family: 'Libre Caslon Text', serif;
  --tm-body-family: 'Jost', sans-serif;
  --tm-header-weight: 700;
  --tm-body-weight: 400;
  --tm-header-tracking: -0.01em;
  --tm-body-tracking: 0em;
}
Heading scale: clamp(2.75rem, 4.5vw, 5.25rem) for H1, clamp(1.5rem, 2.8vw, 3rem) for H2, and keep paragraph size at 1rem–1.125rem with 1.6 line-height.
Component guidance: Buttons inherit Libre Caslon Text at 700 for momentum, while forms, tables, and footnotes stay on Jost with 400 weight for predictable kerning.

FAQs

Why does Libre Caslon Text make sense as the lead font?

Libre Caslon Text owns the emotional register of this system. Its classic, text, readable profile helps anchor campaign creative, meaning marketing and product teams can reuse the same voice without reinventing the scale.

Where should Jost show up?

Jost is the workhorse. Keep it in paragraphs, long-form editorial, knowledge bases, or anywhere legibility is non-negotiable. Its geometric, futura-like, modern qualities reduce fatigue on dense layouts.

Does this pairing support complex localization?

Yes—both families are available on Google Fonts with generous glyph coverage. Test cyrillic/latin accents early, but most Latin-based locales and UI patterns are fully supported.