ContextGem: Effortless LLM extraction from documents
Extract text from plaintext, .docx, .odt and .rtf files. Pure go.
Business objective- The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention Sample Data Set Details: Resumes and financial documents
Provides a comprehensive solution for detecting plagiarism and finding similarities between text documents
Atomic Web Service (AWS, REST API) for converting DOC/DOCX files to plain/text, powered by catdoc, docx2txt and Node.js
This repository is a collection of various Python code snippets and small applications that demonstrate Python's versatility and ease of use.
Chrome Browser Clone By Python
Business objective- The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention
Extract text from Microsoft Word file(s), and save it in a text file (.txt)
A Source of Truth for the Cisco Community Engagement, with creation and storage of Text and MP3 files.
Business objective- The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention
Private Document Questioning and Answering Application which can answer any question that has been asked, by uploading the desired document the user can ask questions
The code parses DOCX from LexisNexis's World Major Publication
Extract data from word documents
Flask based API allowing users to send (PDF, Docx, doc, txt) files to retrieve clean text without any images, signs and so on...
Add a description, image, and links to the docx2txt topic page so that developers can more easily learn about it.
To associate your repository with the docx2txt topic, visit your repo's landing page and select "manage topics."