ScoutSuite VS PaddleOCR

Prowler and ScoutSuite are a good start for cloud stuff.

Another solution might be ScoutSuite, they have support for all major clouds - aws,gcp and azure. But its probably not maintained as well. ScoutSuite

If you're planning to use Active Directory and/or Azure AD, run ADRecon/AzureADRecon and Bloodhound frequently and review in depth. Run ScoutSuite frequently and review as part of a normal operational cycle (e.g., at weekly team meetings make the results available and set aside 15 minutes to discuss and make assignments). Look critically at where these three tools overlap within two or three degrees of separation from your jump hosts (e.g., hosts/nodes that are one or two devices away and users/security groups that are one or two devices away) for help prioritizing when you have too many high-risk/high-impact items to look through.

https://github.com/nccgroup/ScoutSuite (I used it for GCP one time, but I can't say if it good for AWS)

I'd take a look at ScoutSuite. It runs on your infra and spits back a remarkably readable report.

If you could get a read-only (audit?) account you could use ScoutSuite to pull the accounts and review them: https://github.com/nccgroup/ScoutSuite

ScoutSuite – Multi-Cloud Security Auditing Tool

PyTesseract Module [ Github ] EasyOCR Module [ Github ] PaddlePaddle OCR [ Github ]

My default recommendation for OCR is https://github.com/PaddlePaddle/PaddleOCR but most of the examples there are not handwritten - so I'm not sure how well it'll handle it this time.

Other than EasyOCR and Tesseract, PaddleOCR (https://github.com/PaddlePaddle/PaddleOCR) is probably the most well known open-source OCR solution.

What are you planning to do with the text after detecting / recognizing it? How fast does the detection / recognition need to be in order to be useful?

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

For images with text, if you want to do visual qa, document classification, table/key information extraction, checkout https://huggingface.co/blog/document-ai https://github.com/philschmid/document-ai-transformers https://github.com/google-research/pix2struct https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/ppstructure/README.md

EasyOCR is a popular project if you are in an environment where you can use run Python and PyTorch (https://github.com/JaidedAI/EasyOCR). Other open source projects of note are PaddleOCR (https://github.com/PaddlePaddle/PaddleOCR) and docTR (https://github.com/mindee/doctr).

I think you can train tesseract with custom data if you have enough, or you can use deep learning models like https://pyimagesearch.com/2020/08/17/ocr-with-keras-tensorflow-and-deep-learning or https://www.google.com/amp/s/nanonets.com/blog/attention-ocr-for-text-recogntion/amp/ or try other existing tools like paddle-ocr https://github.com/PaddlePaddle/PaddleOCR

https://huggingface.co/blog/document-ai https://github.com/microsoft/table-transformer https://github.com/google-research/pix2struct https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/ppstructure/table/README.md

when following the installation commands present in the paddleocr repo(https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/doc/doc_en/quickstart_en.md) im still unable to install paddleocr. paddlepaddle is successfully installed on my m1 mac with python3.9.16 but while installing paddleocr im getting this error after long pip backtracking

When I was evaluating options a few months ago I found https://github.com/PaddlePaddle/PaddleOCR to be a very strong contender for my use case (reading product labels), but you'll definitely want to put together some representative docs/images and test a bunch of solutions to see what works for you.