CrispEmbed — Text Embedding & Math OCR Demo

Lightweight embedding inference via ggml. No Python runtime, no ONNX.

This Space demonstrates four things:

Similarity: cosine similarity between two texts.

Semantic Search: rank a small corpus against a query.

Math OCR: math image → LaTeX.

Batch Embed: OpenAI-compatible /v1/embeddings batch endpoint.

This Space processes text and math images only. It does no face detection, no face recognition, and no biometric processing of any kind. An image uploaded to the Math OCR tab is written to a temporary file, transcribed, and deleted by the application immediately afterwards; it is not stored or logged by this app. (The Gradio/Hugging Face platform layer may cache uploads independently of the application.)

The upstream engine additionally supports image/face embeddings, full-page OCR, layout analysis and NER; those are not exposed here. See POLICY.md for intended purpose and acceptable use.

Powered by the CrispEmbed C++ engine. Models auto-download on first use.