LexiFinder is a tool to generate analytic indexes from documents automatically. Given one or more source documents and a set of keywords, it extracts all nouns, compares them semantically to the keywords using a pretrained NLP model, and produces a structured, hierarchical index ready to be included in a book or manuscript.

LexiFinder works in two ways: as a command-line tool for scripting, automation, and batch processing, and as a graphical application for a guided, point-and-click experience. Both interfaces share the same underlying engine and support the same features.

Supported input formats are PDF, DOCX, and ODT. The index can be exported as plain text, JSON, CSV, or HTML.

Features

  • Automatically generates analytic indexes from PDF, DOCX, and ODT documents
  • Semantic analysis finds related terms even when keyword is absent
  • Two-level hierarchical index: main keywords and semantically related sub-entries
  • Three-levl hybrid mode with automatic sub-grouping
  • Fully automatic indexing modes require no keywords
  • Marks DOCX and ODT files with index entry fields for Word and LibreOffice
  • Batch mode processes entire folders in a single run
  • Exports to plain text, HTML, JSON, CSV
  • Supports English, Italian, French, German and Spanish
  • Reusable JSON configuration files for multi-chapter projects
  • Built-in model manager to download and delete language models
  • Command-line interface for scripting and automation
  • Dark and light theme support
  • Free and open source (GPLv3

Project Samples

Project Activity

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License

GNU General Public License version 3.0 (GPLv3)

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Additional Project Details

Operating Systems

Linux, Windows

Intended Audience

Education

User Interface

Command-line, Project is a user interface (UI) system

Programming Language

Python

Related Categories

Python Natural Language Processing (NLP) Tool

Registered

2025-07-22