Model reference · open weights

indic-ocr

LLMs bodhan-ai Image→text 1 build Its own licence terms 626 dl/mo

indic-ocr is an open-weight language model from bodhan-ai. indic-ocr (BF16) weighs 1.9 GB; the smallest configuration that runs it is RTX 3060 12 GB.

  • IndicOCR is an image-to-text model developed by bodhan-ai for parsing document pages into reading-ordered Markdown, LaTeX math, and HTML or Markdown tables.
  • It supports printed text in English and 22 Indian languages, as well as handwriting in English and 12 Indian languages.
  • The system consists of a 33 million parameter layout detector and a 0.8 billion parameter OCR module, and is released under the Indic Open Model License v1.0.

Summary of the bodhan-ai/indic-ocr model card, 2026-10-01

What it is

Released bybodhan-ai
Released2026-08-07
VRAM1.9 GB for the weights

What it runs on

Memory and cards for indic-ocr (BF16)

1.9 GBweights, file size
762 MBruntime overhead, at least

How much memory each request adds isn't estimated yet for this architecture. The weights need at least the cards below, plus room for the context.

CardWeights alone
RTX 3060 12 GBfits
RTX 4060 Ti 16 GBfits
RTX 3090 24 GBfits
RTX 4090 24 GBfits
RTX 5090 32 GBfits
L40S 48 GBfits
A100 80 GBfits
H100 80 GBfits
RTX PRO 6000 Blackwell 96 GBfits
DGX Spark (GB10) 128 GB unifiedfits
H200 141 GBfits
B200 180 GBfits

How it works

How language models work

Your prompttext / messagesTransformerattention over tokensNext-token loopgenerate + streamResponsetext · tool callsA language model reads your tokens and predicts the next one, again and again, streaming the reply back.
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