polygonhunter d24010ec14 M5: offline OCR and PDF text extraction ... Images run through a persistent tesseract.js worker (deu+eng tessdata_fast), PDFs through Obsidian's bundled pdf.js — both in idle time on a serial deduplicating queue, feeding a low-weight extractedText field. Results live in a synced ocr-cache.json keyed by path+mtime+size+langs, so no device ever recognizes a file twice. The ~7 MB runtime (worker, WASM core, language models) is not bundled: a fixed ocr-assets-v1 release (built by the new ocr-assets workflow) is downloaded once into the plugin dir when the user enables OCR, then everything is offline. Dev builds copy the same files from assets/ocr (npm run fetch-ocr-assets) into the test vault. Settings gain the OCR toggle, language choice, and PDF switch; mobile degrades gracefully. Verified end-to-end: a rendered test image round-trips through the bundled models as "Angebot für die Küche / Rechnung Nr. 4711". Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>		2026-07-16 08:18:13 +00:00
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fetch-ocr-assets.mjs	M5: offline OCR and PDF text extraction	2026-07-16 08:18:13 +00:00