feat(ocr): unify config, add manga translation pipeline and context lookahead
- 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
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This is a scanned page from a Japanese manga. Unlike running prose, text is
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split across speech bubbles, thought bubbles, narration boxes, and sound
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effects (SFX) scattered over one or more panels.
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Transcribe ALL Japanese text on the page as a numbered list, one entry per
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bubble/box/SFX, in manga reading order:
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- Panels are read right-to-left, top-to-bottom.
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- Within a panel, bubbles are read right-to-left, top-to-bottom, following
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the natural flow implied by tail direction / speaker position where it's
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ambiguous.
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Format each entry exactly as:
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N. [TYPE] text
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Where TYPE is one of:
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- DIALOGUE — normal speech-bubble text
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- THOUGHT — thought-bubble text (usually a cloud-shaped bubble)
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- NARRATION — caption/narration box text (usually a square/rectangular box)
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- SFX — a sound effect drawn directly on the art, not inside a bubble
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Rules:
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- Mark furigana using Aozora Bunko notation: base_text《reading》, e.g.
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本文《ほんぶん》.
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- Transcribe each bubble/box/SFX as ONE entry, even if it spans multiple
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lines inside the art — join its lines with a single space.
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- Do not translate, summarize, or explain — output only the transcribed
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Japanese text.
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- No commentary, no markdown formatting beyond the "N. [TYPE] text" list.
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- If the page has no text at all (splash art, blank, cover), output
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exactly: [NO_TEXT]
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