139 lines
6.1 KiB
Python
139 lines
6.1 KiB
Python
import easyocr
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from deep_translator import GoogleTranslator
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# ─────────────────────────────────────────────
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# LANGUAGE CODE REFERENCE
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# ─────────────────────────────────────────────
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SUPPORTED_LANGUAGES = {
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"Vietnamese" : "vi",
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"Japanese" : "ja",
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"English" : "en",
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"Spanish" : "es",
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"Korean" : "ko",
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"Chinese (Simplified)": "ch_sim",
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"Chinese (Traditional)": "ch_tra",
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"French" : "fr",
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"German" : "de",
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"Italian" : "it",
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"Portuguese" : "pt",
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"Arabic" : "ar",
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"Russian" : "ru",
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"Thai" : "th",
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"Catalan" : "ca", # ← Added!
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}
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# ─────────────────────────────────────────────
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# CORE FUNCTION
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# ─────────────────────────────────────────────
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def translate_manga_text(
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image_path,
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source_lang="vi",
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target_lang="en",
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confidence_threshold=0.3,
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export_to_file=None,
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paragraph_mode=False,
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):
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"""
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Reads text from a manga/comic image using OCR and translates it.
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Args:
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image_path : Path to your image file (PNG, JPG, etc.)
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source_lang : Language code of the original text (default: 'vi')
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target_lang : Language code to translate into (default: 'en')
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confidence_threshold : Minimum OCR confidence to keep a result (default: 0.3)
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export_to_file : Optional path to save output as .txt (default: None)
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paragraph_mode : Group nearby text into paragraphs (default: False)
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"""
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# ── 1. Initialize OCR reader ──────────────────────────────────────────────
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print("Loading OCR model (first run downloads ~100MB, cached after)...")
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# EasyOCR doesn't support 'ca' (Catalan) natively for OCR —
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# but Catalan uses the Latin alphabet, so 'en' + 'es' covers it perfectly.
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ocr_lang = source_lang
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if source_lang == "ca":
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print(" ℹ️ Catalan detected: using Latin-script OCR (en+es) for best results.")
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ocr_lang_list = ["en", "es"]
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else:
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ocr_lang_list = [source_lang]
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reader = easyocr.Reader(ocr_lang_list)
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# ── 2. Initialize translator ──────────────────────────────────────────────
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translator = GoogleTranslator(source=source_lang, target=target_lang)
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# ── 3. Run OCR ────────────────────────────────────────────────────────────
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print(f"Scanning image: {image_path}\n")
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results = reader.readtext(image_path, paragraph=paragraph_mode)
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# ── 4. Filter & translate ─────────────────────────────────────────────────
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header = f"{'#':<5} {'ORIGINAL TEXT':<45} {'TRANSLATED TEXT'}"
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divider = "─" * 90
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output_lines = [header, divider]
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print(header)
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print(divider)
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count = 0
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for i, (bbox, text, confidence) in enumerate(results, start=1):
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# Skip low-confidence detections (noise, borders, artifacts)
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if confidence < confidence_threshold:
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continue
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count += 1
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try:
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translated = translator.translate(text)
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except Exception as e:
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translated = f"[Translation error: {e}]"
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line = f"{count:<5} {text:<45} {translated}"
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print(line)
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output_lines.append(line)
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output_lines.append(divider)
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output_lines.append(f"✅ Done! {count} text block(s) detected and translated.")
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print(divider)
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print(f"✅ Done! {count} text block(s) detected and translated.")
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# ── 5. Optional: export to file ───────────────────────────────────────────
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if export_to_file:
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with open(export_to_file, "w", encoding="utf-8") as f:
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f.write("\n".join(output_lines))
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print(f"📄 Output saved to: {export_to_file}")
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# ─────────────────────────────────────────────
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# HELPER: print all supported languages
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# ─────────────────────────────────────────────
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def list_languages():
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"""Prints all supported language names and their codes."""
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print(f"\n{'LANGUAGE':<30} {'CODE'}")
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print("─" * 40)
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for name, code in SUPPORTED_LANGUAGES.items():
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print(f"{name:<30} {code}")
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print("─" * 40)
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# ─────────────────────────────────────────────
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# ENTRY POINT — edit these values and run!
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# ─────────────────────────────────────────────
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if __name__ == "__main__":
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# 🔧 Configure your run here:
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translate_manga_text(
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image_path = "page.png", # ← your image here
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source_lang = "vi", # ← original language
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target_lang = "en", # ← target language
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confidence_threshold = 0.3, # ← raise to 0.5 for noisy images
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export_to_file = "output.txt", # ← set None to skip saving
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paragraph_mode = False, # ← True groups nearby lines
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)
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# Uncomment to see all supported languages:
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# list_languages() |