Show HN: BetterOCR combines and corrects multiple OCR engines with an LLM

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • BetterOCR

    🔍 Better text detection by combining multiple OCR engines (EasyOCR, Tesseract, and Pororo) with 🧠 LLM.

  • https://github.com/junhoyeo/BetterOCR#-box-detection

  • doctr

    docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

  • Yup! But I'm still exploring options. (any recommendations would be welcomed!) Here are some candidates I'm considering:

    - https://github.com/mindee/doctr

    - https://github.com/open-mmlab/mmocr

    - https://github.com/PaddlePaddle/PaddleOCR (honestly I don't know Mandarin so I'm a bit stuck)

    - https://github.com/clovaai/donut - While it's primarily an "OCR-free document understanding transformer," I think it's worth experimenting with. Think I can sort this out by letting the LLM reason through it multiple times (although this will impact performance)

    - yesterday got a suggestion to consider https://github.com/kakaobrain/pororo - I don't think development is still active but the results are pretty great on Korean text

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  • mmocr

    OpenMMLab Text Detection, Recognition and Understanding Toolbox

  • Yup! But I'm still exploring options. (any recommendations would be welcomed!) Here are some candidates I'm considering:

    - https://github.com/mindee/doctr

    - https://github.com/open-mmlab/mmocr

    - https://github.com/PaddlePaddle/PaddleOCR (honestly I don't know Mandarin so I'm a bit stuck)

    - https://github.com/clovaai/donut - While it's primarily an "OCR-free document understanding transformer," I think it's worth experimenting with. Think I can sort this out by letting the LLM reason through it multiple times (although this will impact performance)

    - yesterday got a suggestion to consider https://github.com/kakaobrain/pororo - I don't think development is still active but the results are pretty great on Korean text

  • PaddleOCR

    Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

  • Yup! But I'm still exploring options. (any recommendations would be welcomed!) Here are some candidates I'm considering:

    - https://github.com/mindee/doctr

    - https://github.com/open-mmlab/mmocr

    - https://github.com/PaddlePaddle/PaddleOCR (honestly I don't know Mandarin so I'm a bit stuck)

    - https://github.com/clovaai/donut - While it's primarily an "OCR-free document understanding transformer," I think it's worth experimenting with. Think I can sort this out by letting the LLM reason through it multiple times (although this will impact performance)

    - yesterday got a suggestion to consider https://github.com/kakaobrain/pororo - I don't think development is still active but the results are pretty great on Korean text

  • donut

    Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

  • Yup! But I'm still exploring options. (any recommendations would be welcomed!) Here are some candidates I'm considering:

    - https://github.com/mindee/doctr

    - https://github.com/open-mmlab/mmocr

    - https://github.com/PaddlePaddle/PaddleOCR (honestly I don't know Mandarin so I'm a bit stuck)

    - https://github.com/clovaai/donut - While it's primarily an "OCR-free document understanding transformer," I think it's worth experimenting with. Think I can sort this out by letting the LLM reason through it multiple times (although this will impact performance)

    - yesterday got a suggestion to consider https://github.com/kakaobrain/pororo - I don't think development is still active but the results are pretty great on Korean text

  • pororo

    Discontinued PORORO: Platform Of neuRal mOdels for natuRal language prOcessing

  • Yup! But I'm still exploring options. (any recommendations would be welcomed!) Here are some candidates I'm considering:

    - https://github.com/mindee/doctr

    - https://github.com/open-mmlab/mmocr

    - https://github.com/PaddlePaddle/PaddleOCR (honestly I don't know Mandarin so I'm a bit stuck)

    - https://github.com/clovaai/donut - While it's primarily an "OCR-free document understanding transformer," I think it's worth experimenting with. Think I can sort this out by letting the LLM reason through it multiple times (although this will impact performance)

    - yesterday got a suggestion to consider https://github.com/kakaobrain/pororo - I don't think development is still active but the results are pretty great on Korean text

  • llama.cpp

    LLM inference in C/C++

  • Please consider LLaMA.cpp (https://github.com/ggerganov/llama.cpp), which supports a lot of models and doesn't need an expensive GPU.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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