Designing Production-Scale OCR for India: Multilingual and Domain-Specific Systems
Designing Optical Character Recognition (OCR) systems for India requires balancing linguistic diversity, document heterogeneity, and deployment constraints. In this paper, we study two training strategies for building multilingual OCR systems with Vision-Language Models through the Chitrapathak series. We first follow a popular multimodal approach, pairing a generic vision encoder with a strong multilingual language model and training the system end-to-end for OCR. Alternatively, we explore fine-tuning an existing OCR model, despite not being trained for the target languages. Through extensive evaluation on multilingual Indic OCR benchmarks and deployment-oriented metrics, we find that th...
| Authors | Ali Faraz, Raja Kolla, Ashish Kulkarni et al. |
|---|---|
| Primary category | cs.CV |
| Published | 18 February 2026 |
| Last updated at source | 18 February 2026 |
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