3 مستودعات
Specialized LLM processing for removing machine patterns and introducing conversational fluency.
Distinct from LLM-Based Text Processing: Distinct from general LLM-Based Text Processing by focusing specifically on humanization rather than summarization/translation.
Explore 3 awesome GitHub repositories matching artificial intelligence & ml · LLM Text Humanizers. Refine with filters or upvote what's useful.
Humanizer is a text processing system designed to remove machine-generated patterns from writing to make it sound more natural and conversational. It functions as an auditor and rewriter that identifies robotic signatures, formulaic tropes, and mechanical formatting in machine output. The project features a style-matching system that analyzes provided writing samples to replicate a user's specific sentence rhythms, vocabulary, and punctuation habits. This allows the tool to mirror a personal voice and apply a calibrated tone to the rewritten text. The system covers a broad range of linguisti
Removes machine patterns from LLM output to make AI-generated text sound more natural and conversational.
CapsWriter-Offline is a suite of desktop tools that operates without an internet connection, combining local media browsing, voice dictation, audio and video transcription, and 360-degree media viewing into a single application. The project's core identity centers on providing offline functionality for both media handling and speech-to-text workflows. What distinguishes it is the integration of voice dictation with a persistent local storage layer that saves every audio recording and daily transcript logs, along with a rule-based text normalization engine that converts spoken number phrases a
Routes recognized speech to a language model for polishing or role-specific processing based on predefined names.
Humanizer-zh is a tool designed to transform AI-generated content into natural-sounding writing by removing repetitive patterns and mechanical formatting. It functions as an AI content de-optimizer and text humanizer specifically focused on making Chinese text sound more human-authored. The project specializes in Chinese language refinement, replacing corporate jargon and artificial linguistic markers with native expressions and varied sentence rhythms. It employs a system to strip formulaic signatures and repetitive structures common in large language model outputs to increase perceived auth
Specializes in removing machine patterns and introducing conversational fluency to humanize AI text.