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apache-tika · GitHub Topics · GitHub

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apache-tika

Here are 66 public repositories matching this topic...

可以将word(doc、docx)、excel、pdf、ppt、csv、txt文件的文本内容提取出来,同时能够提取出word、pdf文件的目录

  • Updated Jun 29, 2022
  • Java

Python bindings for Apache Tika

  • Updated Aug 20, 2020
  • Python

A suite of Machine Learning / Deep Learning Dockerfiles to allow Apache Tika to extract objects and to produce textual captions for images and video

  • Updated Jun 18, 2024

tokyo, a REST API, when given any type of document 📄, Identifies mime-type 🧐. Suggests extension 🦔. Alas Extracts text 💪.

  • Updated Jun 13, 2020
  • Clojure

Extract text from a document by Apache Tika

  • Updated Mar 20, 2026
  • TypeScript

AWS Lambda layer containing latest version of Apache Tika

  • Updated Aug 22, 2026
  • Shell

Text extraction from scanned pdf documents in java

  • Updated Jun 15, 2021
  • Java

Visualize unstructured data using Watson NLU

  • Updated May 26, 2021
  • CoffeeScript

A permissively licensed crate to detect MIME types

  • Updated Jun 22, 2026
  • Rust

Apache NiFi + Apache Tika + OptimaizeLangDetector

  • Updated May 20, 2022
  • Java

ApacheDeepLearning101

  • Updated Sep 24, 2018
  • Python

Golang client for Apache Tika

  • Updated Nov 3, 2017
  • Go

All my processors (NARs) in one place

  • Updated Jul 29, 2019

🚴‍♂️⛷Data Lake, Performance tuning for text extraction from a huge amount of files.

  • Updated Nov 15, 2021
  • Python

Custom search engine for all kinds of documents and storage services

  • Updated Jun 2, 2026
  • Go

Directory tree metadata parser using Apache Tika

  • Updated May 3, 2024
  • Python

CLI keyword search across websites, documents, and local folders. Crawls multi-level sites, renders JavaScript SPAs with a headless browser, and extracts text from PDF, DOCX and 100+ formats via Apache Tika — reporting exact page and line numbers. Fuzzy matching, JSON output, Docker image.

  • Updated Aug 21, 2026
  • Java

Developed a Spatial Search website that allow users to search documents from FBI Vault website. Extract the most frequently occurring location in each of documents, and load the geo-tagged data into Apache Solr to index the documents, visualize search results using the Google Maps API.

  • Updated Sep 11, 2014
  • Java

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