Unstructured-IO/unstructured vs xberg-io/xberg

Compare Unstructured-IO/unstructured and xberg-io/xberg using the current verified snapshot: positioning, license, deployment, use cases, limitations, and original sources.

Unstructured-IO/unstructured

This project streamlines the ingestion and pre-processing of unstructured data for large language models. It provides modular functions and an MCP server to convert images and text documents into structured outputs.

License: Apache-2.0
Deployment: Python environment
Use cases: Documents & Office · Knowledge Q&A
Updated: 2026-07-17T14:34:17Z

Original project link

xberg-io/xberg

xberg-io/xberg is a polyglot document extraction engine with 15 language bindings and a unified Rust core that extracts text, tables, metadata, and structured information from over 97 formats. It provides multiple interfaces including a CLI, library, REST API server, and an MCP server, with optional enrichment services that can rely on local or remote models.

License: MIT
Deployment: Refer to project documentation
Use cases: Knowledge Q&A
Updated: —

Original project link

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