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Apache Tika Dokumenten-Parser

Extrahiert strukturierten Text, Metadaten und eingebettete Objekte aus PDFs, Office-Dokumenten und über 1.000 Dateiformaten mithilfe der Apache Tika REST API. Ausgabe als sauberes Markdown oder JSON mit XMP-Metadaten-Erhaltung.

Was ist Apache Tika Dokumenten-Parser?

Der Apache Tika Dokumenten-Parser ist ein leistungsstarkes Tool zur Textextraktion und Metadaten-Analyse aus einer Vielzahl von Dateiformaten, darunter PDF, Office-Dokumente (DOCX, XLSX, PPTX), HTML, XML und über 1.000 weitere Formate. Er nutzt die Apache Tika REST API, um strukturierten Text, eingebettete Objekte wie Bilder und Tabellen sowie detaillierte Metadaten im XMP-Standard zu extrahieren. Der Skill ist besonders nützlich für Entwickler:innen, die Datenpipeline-Aufgaben automatisieren, Suchindizes befüllen oder Dokumenten-Workflows in AI-Agenten-Plattformen wie Claude Code, Cursor oder Codex integrieren möchten. Die Ausgabe erfolgt wahlweise als sauberes Markdown (ideal für LLM-Kontext) oder als JSON (für strukturierte Verarbeitung). Der Skill ist Docker-basiert und wird über Tests in tika-integration-tests validiert. Seine Hauptanwendung liegt in der zuverlässigen, skalierbaren Dokumentenverarbeitung für KI-gestützte Recherche, Wissensmanagement und Informationsextraktion.

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

Was macht Apache Tika Dokumenten-Parser?

Extrahiert strukturierten Text, Metadaten und eingebettete Objekte aus PDFs, Office-Dokumenten und über 1.000 Dateiformaten mithilfe der Apache Tika REST API. Ausgabe als sauberes Markdown oder JSON mit XMP-Metadaten-Erhaltung.

Installation

Anforderungen und Hinweise vom Upstream-Projekt:

  • Hinweis: Docker wird für Tests in tika-integration-tests verwendet. Falls Docker nicht installiert ist, werden diese Tests übersprungen.

Grundlegende Nutzung oder Einstiegsnotizen:

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

Quelle: https://github.com/apache/tika Aus Upstream-Dokumentation 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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act Local GitHub Actions Runner

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Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

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

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

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Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

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 runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

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.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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