seeV VS surya

I also wrote a Swift CLI that wraps over the Vision framework: https://github.com/nexuist/seev

Text extraction is included (including the ability to specify custom words not found in the dictionary) but there are also utilities for face detection, classification, etc.

I have tried a bunch of things. This is what worked best for me: Surya [0]. It can run fully local on your laptop. I also tried EasyOCR [1], which is also quite good. I haven't tried this myself, but I will look at Paddle [2] if the previous two don't float your boat.

All of these are OSS, and you don't need to pay a dime to anyone.

[0]: https://github.com/VikParuchuri/surya

[1]: https://github.com/JaidedAI/EasyOCR

[2]: https://github.com/PaddlePaddle/Paddle

pypdfium2 is a great choice and a solid piece of software!

You might want to look into https://github.com/VikParuchuri/surya as an alternative to tesseract. Yes, it's associated with a commercial company, but as you long as you aren't a company with 5M in ARR or $5M in funding it's free to use.

Surya is a great open source toolkit for table parsing, layout analysis and OCR: https://github.com/VikParuchuri/surya

Datalab | NYC | Full-time | Software Engineer and Head of Business Ops | $250k-$350k + 1.5-3% equity | https://www.datalab.to

A significant % of useful data is locked away in tough-to-parse formats like PDFs. We build tools to extract it, like https://github.com/VikParuchuri/surya (15k Github stars), and https://github.com/VikParuchuri/marker (19k stars). We also run an inference API and product.

We do meaningful research (we’ve trained several SoTA models), ship product, and contribute to open source. We’re hiring for 2 roles to help us scale:

Senior fullstack software engineer

- work across our open source repos, inference api, and frontend product

I’ve used Surya (https://github.com/VikParuchuri/surya) before. It is very good (on par with Google Vision, potentially better layout analysis), but yours is a challenging use case. I wonder if it would be useful.

Hi, I'm the author of surya (https://github.com/VikParuchuri/surya) - working on improving speed and accuracy now. Happy to collaborate if you have specific page types it's not working on. For modern/clean documents it benchmarks very similarly to Google Cloud, but working on supporting older documents better now.

For a deeper dive into Surya-OCR, an advanced OCR system, enthusiasts and developers can explore its extensive components on GitHub. This open-source project is readily accessible for those eager to understand its mechanics or contribute to its evolution. Visit Surya-OCR on GitHub to explore the documentation, source code, and more.

checkout https://github.com/mindee/doctr or https://github.com/VikParuchuri/surya for something practical

multimodal llm would of course blow it all out the water, so some llama3-like model is probably SOTA in terms of what you can run yourself. something like https://huggingface.co/blog/idefics2