Test Excel endpoint

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MangoPig
2026-02-21 23:25:13 +00:00
parent 50ed6e48f5
commit 6dce685906
5 changed files with 242 additions and 15 deletions
+9 -1
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@@ -49,7 +49,15 @@ Rationale: De-risk unknowns (Docling OCR quality, Ollama CPU inference speed) be
**Tested Formats:**
- PDF (Filing Receipt) — extracted text, tables, CJK content ✅
- PNG (Email screenshot) — extracted subject, dates, recipient ✅ (CJK trademark garbled, may need `ocr_lang`)
- PNG (Email screenshot) — extracted subject, dates, recipient ✅
- PNG with `ocr_lang=ch_tra` — Traditional Chinese extracted correctly (官藥坊) ✅
**Portable Chinese OCR:**
- Auto-downloads `ch_sim` (Simplified) and `ch_tra` (Traditional) models on first run
- Models persist in `docling_models` volume
- First run takes ~1-2 min extra for model download; subsequent runs instant
- Use `ocr_lang=ch_tra` for HK/Taiwan, `ocr_lang=ch_sim` for Mainland China
### 1b. Ollama (DONE)