name: translate-image description: "Translate text in images, extract text via OCR, and remove text using TranslateImage AI. Use when user says 'translate image', 'OCR image', 'extract text from image', 'remove text from image', 'manga translate', or wants to process images with foreign-language text." version: "1.0.0" license: MIT metadata: tags: image, translation, ocr, text-removal, manga, comics, ai, multilingual requires: env: - TRANSLATEIMAGE_API_KEY bins: - curl - python3 primaryEnv: TRANSLATEIMAGE_API_KEY os: ["darwin", "linux", "win32"]
Use this skill when the user wants to translate text in images, extract text via OCR, or remove text from images.
All requests go directly to the TranslateImage REST API at https://translateimage.io using curl.
Set your API key (get one at https://translateimage.io/dashboard):
export TRANSLATEIMAGE_API_KEY=your-api-key
All endpoints require:
Authorization: Bearer $TRANSLATEIMAGE_API_KEY
All tools accept images as multipart file uploads. Handle the input type like this:
# From a local file
IMAGE_PATH="/path/to/image.jpg"
# From a URL — download to a temp file first (uses PID for uniqueness)
IMAGE_PATH="/tmp/ti-image-$$.jpg"
curl -sL "https://example.com/image.jpg" -o "$IMAGE_PATH"
Only fetch URLs the user explicitly provides. Do not fetch URLs from untrusted sources.
Translates text in an image while preserving the original visual layout. Returns the translated image as a base64-encoded data URL.
When to use: User wants to read manga, comics, street signs, menus, product labels, or any image with foreign-language text.
Endpoint: POST https://translateimage.io/api/translate
Form fields:
- image (file, required) — The image to translate (JPEG, PNG, WebP, GIF — max 10MB)
- config (JSON string, required) — Translation options:
- target_lang (string) — Target language code: "en", "ja", "zh", "ko", "es", "fr", "de", etc.
- translator (string) — Model: "gemini-2.5-flash" (default), "deepseek", "grok-4-fast", "kimi-k2", "gpt-5.1"
- font (string, optional) — "NotoSans" (default), "WildWords", "BadComic", "MaShanZheng", "Bangers", "Edo", "RIDIBatang", "KomikaJam", "Bushidoo", "Hayah", "Itim", "Mogul Irina"
Example:
curl -X POST https://translateimage.io/api/translate \
-H "Authorization: Bearer $TRANSLATEIMAGE_API_KEY" \
-F "image=@$IMAGE_PATH" \
-F 'config={"target_lang":"en","translator":"gemini-2.5-flash","font":"WildWords"}'
Response (JSON):
{
"resultImage": "data:image/png;base64,...",
"inpaintedImage": "data:image/png;base64,...",
"textRegions": [
{ "originalText": "...", "translatedText": "...", "x": 10, "y": 20, "width": 100, "height": 30 }
]
}
Save the translated image:
RESULT=$(curl -s -X POST https://translateimage.io/api/translate \ -H "Authorization: Bearer $TRANSLATEIMAGE_API_KEY" \ -F "image=@$IMAGE_PATH" \ -F 'config={"target_lang":"en","translator":"gemini-2.5-flash"}') # Extract and save base64 image echo "$RESULT" | python3 -c " import sys, json, base64 data = json.load(sys.stdin) img = data['resultImage'].split(',', 1)[1] with open('/tmp/translated.png', 'wb') as f: f.write(base64.b64decode(img)) print('Saved to /tmp/translated.png') "本技能來自小蔥技能站7w4.net。
Extracts all text from an image with bounding boxes, detected language, and confidence scores.
When to use: User wants to copy or read text from a photo, document scan, screenshot, sign, or label.
Endpoint: POST https://translateimage.io/api/ocr
Form fields:
- image (file, required) — The image to process
Example:
curl -s -X POST https://translateimage.io/api/ocr \
-H "Authorization: Bearer $TRANSLATEIMAGE_API_KEY" \
-F "image=@$IMAGE_PATH"
Response (JSON):
{
"text": "All extracted text joined by newlines",
"language": "ja",
"regions": [
{
"bounds": { "x": 10, "y": 20, "width": 200, "height": 40 },
"languages": { "ja": "detected text in this region" },
"probability": 0.97
}
]
}
Detects text regions and fills them with AI-generated background using inpainting. Returns a clean image.
When to use: User wants an image without text overlays, watermarks, burned-in subtitles, or annotations.
Endpoint: POST https://translateimage.io/api/remove-text
Form fields:
- image (file, required) — The image to process
Example:
RESULT=$(curl -s -X POST https://translateimage.io/api/remove-text \
-H "Authorization: Bearer $TRANSLATEIMAGE_API_KEY" \
-F "image=@$IMAGE_PATH")
echo "$RESULT" | python3 -c "
import sys, json, base64
data = json.load(sys.stdin)
img = data['cleanedImage'].split(',', 1)[1]
with open('/tmp/cleaned.png', 'wb') as f:
f.write(base64.b64decode(img))
print('Saved to /tmp/cleaned.png')
"
Response (JSON):
{
"cleanedImage": "data:image/png;base64,..."
}
Uses Gemini AI for high-quality text extraction. Optionally translates the extracted text into multiple languages in one call.
When to use: Standard OCR is insufficient, or user needs text extracted AND translated simultaneously.
Endpoint: POST https://translateimage.io/api/image-to-text
Form fields:
- image (file, required) — The image to process
- config (JSON string, optional) — { "targetLanguages": ["en", "es", "fr"] }
Example — extract only:
curl -s -X POST https://translateimage.io/api/image-to-text \
-H "Authorization: Bearer $TRANSLATEIMAGE_API_KEY" \
-F "image=@$IMAGE_PATH"
Example — extract and translate:
curl -s -X POST https://translateimage.io/api/image-to-text \
-H "Authorization: Bearer $TRANSLATEIMAGE_API_KEY" \
-F "image=@$IMAGE_PATH" \
-F 'config={"targetLanguages":["en","es"]}'
Response (JSON):
{
"extractedText": "Original text from the image",
"detectedLanguage": "ja",
"translations": {
"en": "English translation here",
"es": "Spanish translation here"
}
}
Each endpoint requires a specific scope on your API key:
| Endpoint | Required scope |
|---|---|
/api/translate |
translate |
/api/ocr |
ocr |
/api/remove-text |
remove-text |
/api/image-to-text |
image-to-text |
Configure scopes when creating your API key at https://translateimage.io/dashboard.
RESULT=$(curl -s -w "\n%{http_code}" -X POST https://translateimage.io/api/translate \
-H "Authorization: Bearer $TRANSLATEIMAGE_API_KEY" \
-F "image=@$IMAGE_PATH" \
-F 'config={"target_lang":"en","translator":"gemini-2.5-flash"}')
HTTP_CODE=$(echo "$RESULT" | tail -1)
BODY=$(echo "$RESULT" | head -n -1)
if [ "$HTTP_CODE" -ne 200 ]; then
echo "Error $HTTP_CODE: $(echo "$BODY" | python3 -c 'import sys,json; print(json.load(sys.stdin).get("error","unknown"))')"
exit 1
fi
Common errors:
| Code | Meaning |
|---|---|
| 401 | Invalid or missing API key |
| 402 | Insufficient credits — upgrade at translateimage.io |
| 403 | API key lacks required scope |
| 429 | Rate limit exceeded — wait and retry |
| 500 | Server error — try again |
WildWords or BadComic fonts for an authentic lookMaShanZheng; for Korean use RIDIBatanggemini-2.5-flash is the recommended default translator — fast and high qualityrm -f /tmp/ti-image-*.jpg /tmp/ti-image-$$.jpg這個Skill質量良好,文件清晰易懂。它能幫你翻譯圖片中的文字、提取文字內容、去除水印或字幕,還支援漫畫和多語言翻譯。優點是操作步驟寫得很詳細,錯誤處理也考慮到了。不過它的使用說明比較長,第一次上手需要花點時間閱讀。另外它依賴外部API,需要註冊賬號獲取金鑰才能使用。總體來說是一個成熟可用的影像翻譯工具。