Post-processors are critical to the performance of lan- guage recognizers like OCRs, speech recognizers, etc. Dictionary-based post-processing commonly employ either an algorithmic approach or a statistical approach. Other linguistic features are not exploited for this purpose. The language analysis is also largely limited to the prose form. This paper proposes a framework to use the rich metric and formal structure of classical poetic forms in Indian lan- guages for post-processing a recognizer like an OCR en- gine. We show that the structure present in the form of the vrtta and pr?asa can be efficiently used to disambiguate some cases that may be difficult for an OCR. The approach is efficient, and complementary to other post-processing ap- proaches and can be used in conjunction with them.