Lipika — Indic Font Recognizer

लिपिका · Identify the font in an image of Indic-script text.

Upload a crop of text in any of 13 Indic scripts and Lipika returns the font family, weight, italic flag, and a hosted WOFF2 URL you can use immediately — plus visually-nearest alternatives from a retrieval index.

• 🤗 Model: loopdesk-ai/lipika
• 🎨 Demo: anilpai/lipika-demo

What it does

Quick start

pip install lipika

from PIL import Image
from fontrecog.infer.predictor import Predictor  # package installs as `lipika`, imports as `fontrecog`

p = Predictor.from_pretrained("loopdesk-ai/lipika")
result = p.predict(Image.open("hindi_text.png"))

top = result["predictions"][0]
print(result["script"], top["family"], top["confidence"], top["woff2_url"])
# devanagari Tiro Devanagari Hindi 0.30 https://cdn.jsdelivr.net/...

The result dict also contains grouped_predictions (per-family, weights merged), retrieval (visually nearest families with cosine similarity), and calibrated uncertain / match_quality flags for open-set inputs.

Run the demo locally

pip install "lipika[demo]"
python -m fontrecog.demo --repo loopdesk-ai/lipika   # Gradio on :7861

How it was built

Everything is synthetic-first: training crops are rendered on the fly from font files (HarfBuzz shaping via a Pillow/raqm stack), augmented with real- photo-style degradations, and mixed with a small real-crop set. The corpus pipeline, training loop (Modal.com L4 GPUs), retrieval index build, and calibration are all in this repo:

src/fontrecog/
  data/        corpus manifest, font fetching, WOFF2 self-hosting
  dataset/     synthetic rendering, augmentation, val shard freezing
  train/       multi-head loop (family + script + weight + italic, ArcFace)
  index/       prototype retrieval index build + open-set calibration
  infer/       Predictor (patch voting, TTA, hedging), HF export
  eval/        frozen-shard + real-photo eval harnesses
  demo.py      Gradio app

See plan.md for the full build log (12 phases, v1 → v2.4).

License

Code: Apache-2.0. Model weights: Apache-2.0 (model card). Fonts referenced by the recognizer remain under their own licenses (OFL and similar); the model repo hosts only redistributable font files.

Developed & maintained by Loopdesk.