Open Source C Image Recognition Software

AI File Sorter is a cross-platform desktop application that uses AI to organize files and suggest meaningful file names based on real content, not just filenames or extensions. The app can analyze image files locally and propose human-readable rename suggestions (for example, IMG_2048.jpg → clouds_over_lake.jpg). It can also analyze the text content of documents to improve categorization and renaming. Supported formats include PDF, DOCX, XLSX, PPTX, ODT, ODS, ODP, and common text files. All suggestions are optional and must be reviewed before being applied. AI File Sorter helps clean up cluttered folders such as Downloads, external drives, or NAS storage. It can run fully offline using local AI models like Mistral 7B or LLaMA 3B. No files, images, document contents, or metadata are uploaded, and no telemetry is sent unless a remote AI endpoint is explicitly configured.

MozJPEG improves JPEG compression efficiency achieving higher visual quality and smaller file sizes at the same time. It is compatible with the JPEG standard, and the vast majority of the world's deployed JPEG decoders. MozJPEG is compatible with the libjpeg API and ABI. It is intended to be a drop-in replacement for libjpeg. MozJPEG is a strict superset of libjpeg-turbo's functionality. All MozJPEG's improvements can be disabled at run time, and in that case it behaves exactly like libjpeg-turbo. MozJPEG is meant to be used as a library in graphics programs and image processing tools. We include a demo cjpeg command-line tool, but it's not intended for serious use. We encourage authors of graphics programs to use libjpeg's C API and link with MozJPEG library instead. Progressive encoding with "jpegrescan" optimization. It can be applied to any JPEG file (with jpegtran) to losslessly reduce file size.

One more lightweight neural network in C.