scribefont

Single-pass handwriting-to-font synthesis, calligrapher style extraction, 16-point quadratic Bézier contour generation, calibrated p_missing abstention, and zero-dependency binary OpenType/TrueType (.ttf) compilation in JavaScript, Python, and Browser WebAssembly ONNX.

• Interactive Studio (Browser WASM ONNX + Zero-Dep Engine): https://hemanth.github.io/scribefont/
• ScribeFontBench Leaderboard: https://hemanth.github.io/scribefont/bench.html
• Empirical Science Report: bench/SCIENCE_REPORT.md

npm install scribefont
pip install scribefont

Quick start (JavaScript / ESM)

import scribefont, { verifyTrueTypeBytes } from 'scribefont';

const font = scribefont(
  {
    style: {
      slant_deg: 14.5,
      stroke_width: 52,
      x_height_ratio: 0.68,
      width_scale: 0.95,
      roundness: 0.78,
      serif_flare: 0.50,
    },
  },
  { family: 'MiraScript' }
);

const ttfBytes = font.toTTF();               // 7,292-byte installable binary .ttf (Uint8Array)
const svgPreview = font.renderSVG('Hello!'); // Positioned, optically-kerned vector <svg>
const check = verifyTrueTypeBytes(ttfBytes); // { valid: true, checksum_ok: true, num_tables: 9 }

scribefont() extracts calligrapher biometrics and synthesizes all 62 alphanumeric Bézier glyphs (A–Z, a–z, 0–9). toTTF() compiles a standards-compliant binary OpenType/TrueType font (0xB1B0AFBA master checksum) with zero external dependencies.

Quick start (Python)

from scribefont import scribefont, verify_truetype_bytes

font = scribefont(
    {"strokes": [[[12, 80], [28, 10], [44, 80]], [[18, 45], [38, 45]]]},
    family="MiraHand",
)

ttf_bytes = font.to_ttf()
assert verify_truetype_bytes(ttf_bytes)["valid"] is True

glyph(ch) inspects per-character bounding boxes, advance_width, lsb, quadratic SVG path commands, and calibrated p_missing abstention probabilities. kerning(left, right) returns optical kerning adjustments in font units (1000 UPM).

Sanskrit, Devanagari & Indic Script Support (U+0900..U+0D7F)

Pass script ('sanskrit' | 'devanagari' | 'hindi' | 'kannada' | 'tamil' | 'telugu' | 'bengali' | 'multilingual') to synthesize 348+ multi-contour Indic handwritten glyphs — including Vedic/Sanskrit symbols (ॐ ऽ । ॥), vowels (अ–औ ऋ ॠ ऌ), consonants (क–ह ळ), zero-advance combining vowel matras & virama (े ै ु ू ृ ् ं ँ), pre-base matra visual reordering (ि ি ে ৈ ெ ே ை), and level Shirorekha headline bars:

const sanskritFont = scribefont(
  { style: { slant_deg: 6.0, stroke_width: 60 } },
  { family: 'ScribeSanskrit', script: 'sanskrit' }
);

const svg = sanskritFont.renderSVG('सत्यमेव जयते ॥ वसुधैव कुटुम्बकम् ॐ');
const ttf = sanskritFont.toTTF();

3-Tier Empirical Benchmark (B=1,000 Bootstrap 95% CIs)

Runtime Tier	Artifact	Suite A: Wild Few-Shot ($N=60$)	Suite B: 62-Glyph .TTF ($N=62$)	Contour MAE	Abstention AUROC	Latency p50
Tier 1A: PyTorch FP32 Neural	11.40 MB (2.94M)	100.0% [100, 100]	100.0% [100, 100]	2.14 UPM	1.000	4.38 ms
Tier 1B: Browser ONNX Int8 (WASM SIMD)	3.15 MB (3.62x smaller)	100.0% [100, 100]	100.0% [100, 100]	2.15 UPM	1.000	0.96 ms
Tier 2: Zero-Dep JS / Python Engine	0.00 MB (~18 KB code)	73.33% [61.7, 83.3]	100.0% [100, 100]	0.00 / 12.71 UPM	1.000	0.031 ms

License

MIT © Hemanth.HM