Open Source Full Featured: https://github.com/Filimoa/open-parse/ https://github.com/Filimoa/open-parse/ [mine] https://docs.llamaindex.ai/en/stable/api_refere

Open Source Full Featured: https://github.com/Filimoa/open-parse/ https://github.com/Filimoa/open-parse/ [mine] https://docs.llamaindex.ai/en/stable/api_reference/node_parsers/token_text_splitter/ https://docs.llamaindex.ai/en/stable/api_reference/node_pars... [text splitters lose page metadata] https://github.com/VikParuchuri/marker https://github.com/VikParuchuri/marker [strictly to markdown] Layout Parsers: These are collections of ML models to parse the core "elements" from a page (heading, paragraph, etc). You'll still need to work on combining these elements into queryable nodes. https://github.com/Layout-Parser/layout-parser https://github.com/Layout-Parser/layout-parser https://github.com/opendatalab/PDF-Extract-Kit https://github.com/opendatalab/PDF-Extract-Kit https://github.com/PaddlePaddle/PaddleOCR https://github.com/PaddlePaddle/PaddleOCR Commercial: https://reducto.ai/ https://reducto.ai/ [great, expensive] https://docs.llamaindex.ai/en/stable/llama_cloud/llama_parse/ https://docs.llamaindex.ai/en/stable/llama_cloud/llama_parse... [cheapest, but buggy] https://cloud.google.com/document-ai https://cloud.google.com/document-ai https://aws.amazon.com/textract/ https://aws.amazon.com/textract/