Show HN: BSE – Semantic Zip Engine for Text, Image and Audio

We built BSE (Bramble Semantic Engine) – a semantic compressor that transforms natural inputs into low-dimensional structured representations. It's designed as a preprocessing engine for LLMs, capable of reducing long inputs into compact, logic-preserving forms across: 1. Language Extracts SVO (Subject, Verb, Object) structure Captures modifiers: adjectives/adverbs Restores pronouns from short-term memory Detects questions Computes: Compression Rate (%) Semantic Loss (%) Compares sentence compression outputs via SDC: Subject-Subject, Verb-Verb, Object-Subject similarity Sentence distance 2. Image Crops and weights center-priority patches Converts into 100x100 weighted matrices Visualizes: R, G, B Channels Brightness 3. Audio Decomposes audio into pitch & intensity across frequency bands Returns normalized 2D matrices Visualized as grayscale spectro-patches Live demo (Gradio): https://huggingface.co/spaces/Sibyl-V/BSE_demo https://huggingface.co/spaces/Sibyl-V/BSE_demo Feedback welcome on: Compression logic Use cases (LLM fine-tuning, retrieval, alignment) Design of multi-modal structure output Built in 48 hours by a solo dev & their black nine-tailed fox partner. Let us know what you'd improve — and what scares you.