xberg

All of them are listed as either "in development" or "early alpha", and every single person that has tried to do something even roughly resembling a task you would do with the original product can tell you that it's broken in a thousand ways. As it stands right now, it proofs little more than it can replicate the post-boot screen of the original products. Just because every tech news outlet was dumb enough to report it without trying it doesn't mean you have to join the echo chamber. --- There are definitely examples out there that do use a similar relentlessly agentic development style that have produced great results. e.g. xberg[0] (formerly kreuzberg), is a great document content extractor, and in a relatively short amount of time has become one of the most robust and performant. I've reported about a dozen edge cases of documents of v

An alternative to Docling is Xberg: https://github.com/xberg-io/xberg "A polyglot document intelligence framework with a Rust core. Extract text, metadata, images, and structured information from PDFs, Office documents, images, and 97+ formats. Available for Rust, Python, Ruby, Java, Go, PHP, Elixir, C#, R, C, TypeScript (Node/Bun/Wasm/Deno)- or use via CLI, REST API, or MCP server." Amongst other things, you can use it with Open Webui: https://docs.xberg.io/integrations/openwebui/#choosing-an-en... fyi, they are releasing their v1.0.0 release shortly and until then you will need to a release candidate docker image tag: https://github.com/xberg-io/xberg/issues/1192 As a layman, I would say Xberg is better than Docling because its one engine for everything while the former feels like a bunch of scripts and glue logic.

Hi HN! I'm the maintainer of Kreuzberg, an open-source document intelligence library (https://github.com/kreuzberg-dev/kreuzberg). Some of you may have used it for RAG ingestion. We're launching Kreuzberg Cloud, a SAAS API and a self-hosted system. It's in public beta, and I would like to invite you all to give it a try. What out MVP offers: we offer very fast CPU optimized document and code intelligence. You can extract content from more than 90 document file formats and 300 code file formats into Markdown (or plaintext/djot), with additional features (same pricing tier) including chunking, embeddings, keyword extraction - and various types of intelligence. The OSS library is used as the base engine of the cloud system. Our initial offering is $0.008/page, and you get the first 10K pages free, no card required. We also offer our entire s

How this is better over Surya/Marker or kreuzberg https://github.com/kreuzberg-dev/kreuzberg.