Poison Flower
35b7be680e
- Consolidate module configs into root config.example.json with ocr, vision, and epub sections - Split LLM OCR workflows into novel_ocr.py (prose) and manga_ocr_llm.py (manga) - Remove gemini_direct_ocr.py in favor of OpenAI-compatible API endpoints - Support direct manga translation via --translate, --target-lang, and glossary.md - Add bidirectional context support: past translations (--context-pages) and lookahead Japanese text (--context-pages-ahead) - Add per-page JSON audit logging under logs/ and expose OpenAI sampling parameters
29 lines
1.5 KiB
Python
29 lines
1.5 KiB
Python
"""
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OCR module: batch-transcribes (or translates) scanned pages into per-page
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.txt files. Light novel and manga pages are handled by separate scripts,
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since their layouts need genuinely different logic (dense running prose
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vs. scattered, typed speech bubbles that benefit from translation +
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glossary + cross-page continuity context).
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Novel (light novel, dense running prose):
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- novel_ocr.py Any OpenAI-compatible API (OpenRouter, a direct
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provider endpoint, a self-hosted proxy, etc.)
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with a multimodal model. Recommended.
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- google_vision_ocr.py Classic OCR via Google Cloud Vision (no LLM,
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--mode novel).
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Manga (speech bubbles / narration boxes / SFX):
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- manga_ocr_llm.py Any OpenAI-compatible API. Transcribe or
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--translate, with --glossary and --context-pages
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for cross-page continuity. Recommended.
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- google_vision_ocr.py Classic OCR via Google Cloud Vision (no LLM,
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--mode manga; transcription only, no translation).
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- local_mangaocr_ocr.py Fully offline, no cloud account, via manga-ocr
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(also supports --mode novel via column
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segmentation, transcription only).
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Each script is self-contained and runnable directly, e.g.:
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python -m ocr.novel_ocr --input ./pages --output ./out
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python -m ocr.manga_ocr_llm --input ./pages --output ./out --translate
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"""
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