Research
Pratilekha Models
Pratilekha (प्रतिलेख) is a family of lightweight Indic Speech-to-Text models fine-tuned from OpenAI Whisper using LoRA adapters. Designed for edge and mobile inference, they deliver ~20% better accuracy than Whisper-1 on Indic benchmarks with sub-200ms latency.
pratilekha-v01.17k
BaseWhisper Tiny
Parameters39M
Lightweight Indic STT using LoRA adapters on Whisper Tiny
pratilekha-v0-small7.89k
BaseWhisper Small
Parameters244M
Higher-accuracy Indic STT using LoRA adapters on Whisper Small
bodh—
BaseWhisper Medium
Parameters~1.5B
Lightweight Indic language identity detection for VAD-to-STT routing. Frozen Whisper medium encoder with a learned projector and linear classifier — 98.81% accuracy on 7 Indic languages in 30-40ms
Languages Supported
HindiEnglishBengaliTamilTeluguMarathiGujaratiKannadaMalayalamPunjabiUrduOdia