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Smart local file search app that understands your files
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
A suite of Machine Learning / Deep Learning Dockerfiles to allow Apache Tika to extract objects and to produce textual captions for images and video
tokyo, a REST API, when given any type of document 📄, Identifies mime-type 🧐. Suggests extension 🦔. Alas Extracts text 💪.
Extract text from a document by Apache Tika
AWS Lambda layer containing latest version of Apache Tika
Text extraction from scanned pdf documents in java
Visualize unstructured data using Watson NLU
The metadata and text content extractor for almost every file type.
A permissively licensed crate to detect MIME types
Apache NiFi + Apache Tika + OptimaizeLangDetector
ApacheDeepLearning101
All my processors (NARs) in one place
🚴♂️⛷Data Lake, Performance tuning for text extraction from a huge amount of files.
Custom search engine for all kinds of documents and storage services
Directory tree metadata parser using Apache Tika
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.
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.
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