@wisediag

wisediag-calories analyzes food photos via local upload or url to identify items and estimate caloric content with ai recognition. supports batch processing up to 5 images and custom questions in any language.

wisediag-report interprets medical report images via local file upload or url, applying ocr and abnormal indicator detection. output is markdown formatted and saved locally. disclaimer: for reference only, not medical diagnosis.

wisediag-skin accepts local skin image files via binary upload and runs ai-powered analysis to identify possible dermatological conditions, returning markdown results with streaming output.

wiseanalyze accepts pdf checkup reports via local file or url, performs async ai analysis in 4 sequential steps (submit, start, poll, save), and returns structured health interpretation with abnormal findings and recommendations.