first commit

This commit is contained in:
Guillem Hernandez Sola
2026-04-10 17:27:04 +02:00
commit 60e9894771
3 changed files with 367 additions and 0 deletions

139
manga-translator.py Normal file
View File

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