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Apache Tika Dokumentextraktor

Kapselt die Apache Tika Server REST API ein, um strukturierten Text aus PDFs, DOCX, PPTX und über 1.200 Dateiformaten zu extrahieren. Gibt sauberes Markdown mit Metadaten-Erhaltung unter Verwendung des Tika /rmeta/text-Endpunkts und des rekursiven Parsing-Modus aus.

Was ist Apache Tika Dokumentextraktor?

Der Apache Tika Dokumentextraktor ist ein Skill, der die REST-API des Apache Tika Servers nutzt, um strukturierten Text aus einer Vielzahl von Dateiformaten (über 1.200) zu extrahieren, darunter PDF, DOCX, PPTX und viele mehr. Der Skill gibt das extrahierte Ergebnis als sauberes Markdown aus und bewahrt dabei Metadaten, indem er den Tika `/rmeta/text`-Endpunkt im rekursiven Parsing-Modus verwendet. Dies ermöglicht es Entwicklern, Dokumente in KI-Agenten-Umgebungen wie Claude Code, Cursor oder Codex zu verarbeiten, ohne sich um die Formatvielfalt kümmern zu müssen. Der Skill ist besonders nützlich für die Dokumentenanalyse, Suchindexierung oder die Vorbereitung von Inhalten für natürliche Sprachverarbeitung. Die Installation ist einfach, erfordert jedoch für die Tests Docker (andernfalls werden diese übersprungen).

Funktioniert mit~Claude Code✓Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/apache-tika-document-extractor
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Dokumentation

Was macht Apache Tika Dokumentextraktor?

Kapselt die Apache Tika Server REST API ein, um strukturierten Text aus PDFs, DOCX, PPTX und über 1.200 Dateiformaten zu extrahieren. Gibt sauberes Markdown mit Metadaten-Erhaltung unter Verwendung des Tika /rmeta/text-Endpunkts und des rekursiven Parsing-Modus aus.

Installation

Anforderungen und Hinweise aus dem Upstream-Projekt:

  • N.B. Docker wird für Tests in den Tika-Integrationstests verwendet. Falls Docker nicht installiert ist, werden diese Tests übersprungen.

Grundlegende Verwendung oder Einstiegsnotizen:

  • ===========
  • Eine Datei in Java parsen:
  • java

Quelle: https://github.com/apache/tika Aus den Upstream-Dokumenten extrahiert: https://raw.githubusercontent.com/apache/tika/HEAD/README.md

Quelle

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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Add executable smoke tests for shell scripts and CLIs before ref

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Add graph-backed memory and context retrieval to agent workflows

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Add persistent project memory and hook-driven synthesis with Cla

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Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

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Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

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