HTML

Un collègue m'a partagé le projet Marker (https://github.com/VikParuchuri/marker) :

Marker converts documents to markdown, JSON, and HTML quickly and accurately.

• Converts PDF, image, PPTX, DOCX, XLSX, HTML, EPUB files in all languages
• Formats tables, forms, equations, inline math, links, references, and code blocks
• Extracts and saves images
• Removes headers/footers/other artifacts
• Extensible with your own formatting and logic
• Optionally boost accuracy with LLMs
• Works on GPU, CPU, or MPS

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Voici comment fonctionne Marker :

Marker is a pipeline of deep learning models:

• Extract text, OCR if necessary (heuristics, surya)
• Detect page layout and find reading order (surya)
• Clean and format each block (heuristics, texify, surya)
• Optionally use an LLM to improve quality
• Combine blocks and postprocess complete text

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Dans l'article "Dependency management fatigue, or why I forever ditched React for Go+HTMX+Templ" (from), #JaiDécouvert :

• templ, qui permet de générer du code HTML SSR avec Golang en utilisant une syntax proche de JSX ;
• Datastar :

Datastar brings the functionality provided by libraries like Alpine.js (frontend reactivity) and htmx (backend reactivity) together, into one cohesive solution.

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Cela me donne envie d'essayer ces technologies 🙂.