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Analisador de Documentos Apache Tika

Extrai texto estruturado, metadados e objetos incorporados de PDFs, documentos Office e mais de 1000 formatos de arquivo usando a API REST do Apache Tika. Gera Markdown limpo ou JSON com preservação de metadados XMP.

O que é Analisador de Documentos Apache Tika?

Esta skill capacita agentes de IA a extrair e transformar conteúdo de uma vasta gama de formatos de documentos (mais de 1000), incluindo PDF, arquivos do Microsoft Office, OpenDocument, HTML e muitos outros. Utilizando a API REST do Apache Tika, ela processa documentos remotos ou locais, retornando texto limpo em Markdown ou JSON estruturado com metadados XMP preservados. É ideal para pipelines de processamento de documentos, ingestão de dados para RAG (Retrieval-Augmented Generation), automação de extração de informações e curadoria de conteúdo. A skill depende do Apache Tika em execução (via Docker ou servidor local) e pode ser integrada em fluxos de trabalho de agentes como Claude Code ou Cursor para análise profunda de documentos. Sua capacidade de preservar metadados e extrair objetos embutidos a torna especialmente útil em contextos de gestão documental e análise forense.

Funciona com~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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Documentação

O que Analisador de Documentos Apache Tika faz?

Extrai texto estruturado, metadados e objetos incorporados de PDFs, documentos Office e mais de 1000 formatos de arquivo usando a API REST do Apache Tika. Gera Markdown limpo ou JSON com preservação de metadados XMP.

Instalação

Requisitos e observações do upstream:

  • N.B. Docker é usado para testes nos testes de integração do Tika. Se o Docker não estiver instalado, esses testes serão ignorados.

Notas de uso básico ou de início rápido:

  • ===========
  • Analisar um arquivo em Java:
  • java

Fonte: https://github.com/apache/tika Extraído da documentação upstream: https://raw.githubusercontent.com/apache/tika/HEAD/README.md

Fonte

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