content-generation

Generate scannable QR codes from any text, URL, or structured payload (WiFi, vCard, SMS, email, geo, crypto). Returns PNG by default with JPG, WebP, and SVG output, plus optional error-correction, sizing, color, version, and encoding controls. Simple cURL POST: send qr_data, receive an image.

Annotate an image with detections using supervision's annotators (box, round_box, box_corner, circle, dot, ellipse, triangle, label, color, mask, polygon, halo, background_overlay, blur, pixelate, percentage_bar), applied in order. Input: base64 image up to 4 megapixels, up to 500 detections with xyxy pixel boxes and optional class_id, confidence, ASCII label, polygon. Returns the annotated image (base64 PNG or JPEG), size and counts per class.

synthetic data generation: Structured citation records: Structured citation records on synthetic data generation using Crossref publisher metadata. Returns DOI references and source attribution. Query can be overridden; sample summaries are labelled.

Prepared Image OCR: Four Languages: Grayscale and contrast-normalise one PNG, then read printed English, French, German or Spanish text with local Tesseract. Up to 600 KB and four million pixels. Returns text, confidence and the prepared image; handwriting and accuracy are not guaranteed. 0.01 USDC includes one bounded document-data report.