kreuzberg
🥇GoldKreuzberg is a versatile document intelligence framework built on a Rust core, enabling seamless extraction of text, metadata, and structured information from a wide array of formats including PDFs and Office documents. It supports multiple programming languages and can be accessed via CLI or REST API, making it ideal for developers seeking robust document processing solutions.
6,1592230Updated Today
Intermediate15 minutes to implementdevelopment
Saves ~150 min per use
Quick InstallView Source
claude install kreuzberg-dev/kreuzbergWorks with:
GitHub Copilot
Overview
About This Skill
Kreuzberg is a versatile document intelligence framework built on a Rust core, enabling seamless extraction of text, metadata, and structured information from a wide array of formats including PDFs and Office documents. It supports multiple programming languages and can be accessed via CLI or REST API, making it ideal for developers seeking robust document processing solutions.
Use Cases
Extracting data from invoices for financial analysis and reporting.
Automating document processing workflows in CRM systems to improve efficiency.
Generating structured reports from unstructured text to facilitate data analysis.
Enhancing search capabilities in document repositories for faster information retrieval.
Best For
GrowthRevOps
Tags
Setup & Installation
Quick Install
Terminal
claude install kreuzberg-dev/kreuzbergAlternative Install (Git Clone)
git clone https://github.com/kreuzberg-dev/kreuzbergRequirements
- Claude Code or compatible AI agent
- Works with: GitHub Copilot
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Extract metadata from a [FILE_TYPE] document using Kreuzberg. Please provide the file path for the [COMPANY] project in the [INDUSTRY] sector.
Example Output
### Extracted Metadata - **Title:** 2023 Annual Financial Report - **Author:** Jane Doe - **Creation Date:** 2023-01-15 - **Modification Date:** 2023-03-20 - **Keywords:** Financial, Report, 2023 ### Summary The document contains crucial financial data for the fiscal year 2023, including revenue, expenses, and projections. It is intended for stakeholders within the financial services industry to assess company performance and strategy.
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