TYPEMATCHSEO
Launch

TYPEMATCH.

V2.1

Browse Directory
700
400
PAIRING ID: RAS-SHA // ETHOS: SERIF + HANDWRITING

Balancing Rasa with Shadows Into Light

Build a contrast-first system where Rasa leads and Shadows Into Light keeps long-form content legible.

Display Face

Rasa

Weight: 700

Body Face

Shadows Into Light

Weight: 400

This pairing is engineered for teams that need a clear hierarchy without sacrificing brand voice. Rasa brings gujarati, latin, text energy to hero units, pricing sections, and campaign headlines. Shadows Into Light absorbs the heavy lifting for paragraphs, product storytelling, and UI labels with its neat, handwritten, school 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 Rasa with Shadows Into Light

Build a contrast-first system where Rasa leads and Shadows Into Light keeps long-form content legible.

This pairing is engineered for teams that need a clear hierarchy without sacrificing brand voice. Rasa brings gujarati, latin, text energy to hero units, pricing sections, and campaign headlines. Shadows Into Light absorbs the heavy lifting for paragraphs, product storytelling, and UI labels with its neat, handwritten, school 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.

Rasa thrives as a headline face thanks to its gujarati, latin, text qualities. Use weights 700–900 for crisp editorial lockups.
Shadows Into Light excels in paragraphs and UI thanks to its neat, handwritten, school traits. Keep it between weights 400–600 for optimal readability.
Hierarchy guidance: run a 1:1.4 modular scale and reserve Rasa for H1–H3 while Shadows Into Light powers captions, body copy, and data tables.

Best-Fit Use Cases

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

Accessibility Notes

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

CSS Implementation Cheatsheet

:root {
  --tm-header-family: 'Rasa', serif;
  --tm-body-family: 'Shadows Into Light', handwriting;
  --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 Rasa at 700 for momentum, while forms, tables, and footnotes stay on Shadows Into Light with 400 weight for predictable kerning.

FAQs

Why does Rasa make sense as the lead font?

Rasa owns the emotional register of this system. Its gujarati, latin, text profile helps anchor campaign creative, meaning marketing and product teams can reuse the same voice without reinventing the scale.

Where should Shadows Into Light show up?

Shadows Into Light is the workhorse. Keep it in paragraphs, long-form editorial, knowledge bases, or anywhere legibility is non-negotiable. Its neat, handwritten, school 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.