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Indra introduced as a 1-million-parameter OCR model

The introductory post claims 49 pages per second on a CPU—11 times PaddleOCR's speed and 17 times Tesseract's.

2 Sources, 12h ago, first seen 12h ago

TLDR

The post introducing Indra says the 1-million-parameter OCR model processes 49 pages per second on a CPU, 11 times faster than PaddleOCR and 17 times faster than Tesseract. It also reports an OmniParseBench text score of 41.3, versus 35.8 and 19.3 for those models, respectively, and says Indra provides full layout and line bounding boxes.

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2 Sources, first seen 12h ago

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Combined views

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2 Sources, first seen 12h ago

— likes— comments— saves— reposts
Image: @VikParuchuri on X

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2 Sources

Vik Paruchuri@VikParuchuriIntroducing Indra, a 1M parameter OCR model: - 49 pages/s on CPU, 11x faster than PaddleOCR and 17x Tesseract - Beats them on OmniParseBench text (41.3 vs 35.8 and 19.3) - Full layout and line bounding boxes12h
Ben (no treats)@andersonbcdefgRT @VikParuchuri: Introducing Indra, a 1M parameter OCR model: - 49 pages/s on CPU, 11x faster than PaddleOCR and 17x Tesseract - Beats th…1h
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    2 Sources

    Vik Paruchuri@VikParuchuriIntroducing Indra, a 1M parameter OCR model: - 49 pages/s on CPU, 11x faster than PaddleOCR and 17x Tesseract - Beats them on OmniParseBench text (41.3 vs 35.8 and 19.3) - Full layout and line bounding boxes12h
    Ben (no treats)@andersonbcdefgRT @VikParuchuri: Introducing Indra, a 1M parameter OCR model: - 49 pages/s on CPU, 11x faster than PaddleOCR and 17x Tesseract - Beats th…1h
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