arXiv AI By Lorenzo Cardarelli

PyPottery: an AI-powered end-to-end suite for pottery processing and publication

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PyPottery is an open‑source, AI‑powered suite that semi‑automates the entire ceramic documentation pipeline, comprising four modules: PyPotteryScan for image extraction and handwriting recognition, PyPotteryInk for automatic inking of pencil drawings, PyPotteryTrace for semantically‑aware vectorization, and PyPotteryLayout for automated layout generation. In a study of 50 hand‑drawn sheets with 240 pottery drawings from the Terramara di Montale in Italy, users reported a median perceived speedup of 40× compared to traditional workflows, with a range from 17.5× to 120×. The results demonstrate significant time savings and suggest that AI can shift cognitive labor toward augmentation rather than full automation.

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arXiv Computer Vision
Aug 31

UniLipi: A Unified Multi-Script OCR for Historical Indic Manuscripts

UniLipi is a unified multi‑script OCR model trained on 13 Indic scripts to recognize handwritten manuscripts under challenging conditions such as varied line geometry, length, and interruptions by non‑textual elements. It uses script‑aware synthetic data generation to perform well even with limited real annotated data. The model also predicts script identity and per‑line character counts, aiding manuscript cataloging, and its representations transfer to contemporary Indic handwriting and several non‑Indic scripts.

By Tathagata Ghosh, Sai Madhusudan Gunda, Simran Singh Sandral, Ravi Kiran Sarvadevabhatla