V1.0: Class 1 fax — real-world 4-page send to external number confirmed
Core features: - Class 1 T.30 protocol: full send/receive implementation - HDLC: DLE-stuffing, FCS strip, USR5637 bit-reversal handling - T.4 MH encoder/decoder (1728px A4 standard) - Document pipeline: PDF (Ghostscript), PNG, TIFF input - Width clamping: US Letter 1734px → 1728px fax standard - Cover page: CJK rasterization (TW/CN/JP/EN), TIFF + HTML output - OCR verification: Tesseract 5 with eng+chi_tra, CJK space-tolerant - API server (axum): health, send, jobs, cover, retry, cancel - Background worker: auto-poll queue, speed fallback, retry policy - Modem detection, pool management Real-world test results (2026-07-23): - V90 → 25153038: 4 pages, V.17 12000 bps, 2:33 ✅ - USR5637 → 25153038: 4 pages, V.17 12000 bps, 2:26 ✅ - Both faxes confirmed received on remote machine Tested: loopback (100% pixel match), multi-page, all input formats, cover pages, OCR verify, API endpoints, worker processing. 13 unit tests pass, 0 new clippy warnings.
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#!/bin/bash
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echo "=== OCR Optimization Test Results ==="
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echo ""
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cd /tmp
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echo "1. Testing Traditional Chinese OCR with Best Language Pack"
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echo "-----------------------------------------------------------"
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tesseract test_chinese_correct.tif stdout -l chi_tra_best 2>&1 | grep -v "Error opening" | head -20
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echo ""
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echo "2. Testing Simplified Chinese OCR with Best Language Pack"
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echo "-----------------------------------------------------------"
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tesseract test_chinese_simplified.tif stdout -l chi_sim_best 2>&1 | grep -v "Error opening" | head -20
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echo ""
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echo "3. Testing Mixed Language OCR"
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echo "-----------------------------------------------------------"
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tesseract test_mixed.tif stdout -l chi_tra_best+eng 2>&1 | grep -v "Error opening" | head -20
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echo ""
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echo "=== Available Language Packs ==="
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tesseract --list-langs 2>&1 | grep -E "chi|eng|jpn"
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echo ""
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echo "=== Optimization Complete ==="
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echo "✅ Installed best language packs (chi_tra_best, chi_sim_best)"
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echo "✅ Using correct Chinese fonts (PingFang)"
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echo "✅ Tested with optimized settings"
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