Alibaba Qwen Image Translate

Alibaba Qwen Image Translate

Playground

Alibaba Qwen Vision Translate offers OCR-based image understanding and multilingual in-image text translation for context-aware results. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Alibaba Qwen Translate – Image Understanding and Translation

Alibaba Qwen Translate is a multimodal model on Alibaba Cloud’s DashScope that combines high-accuracy OCR with multilingual translation. On WaveSpeedAI, it turns screenshots, documents, menus, and posters into clean, translated text in just a few seconds.

Why it stands out

• Accurate OCR Extracts printed and many handwritten texts from photos, scans, and UI screenshots.

• Strong multilingual support Detects and translates across English, Chinese, Japanese, Korean, French, German, Spanish, Russian, Arabic, and more.

• Terminology and sensitive-word control Lets you define custom terminologies for domain-specific vocabulary and filter sensitive words in the output.

• Document and layout awareness Handles forms, receipts, signs, and scanned pages with automatic text-region detection.

• Fast, practical performance Suitable for real-world scenarios like menu translation, travel signage, study materials, and quick data capture.

Limits and performance

• Supported input formats: PNG, JPEG, WEBP
• Output: extracted text plus translation into the selected target language
• Typical processing time: around 3–6 seconds per image
• Segmentation: automatic text-region detection (can be disabled via the skip_image_segment option)

Pricing

Flat pricing: every processed image is billed at $0.01, regardless of language pair or content length.

How to use

1. Upload the image that contains the text you want to extract and translate.
2. Set source_lang (for example: auto, en, zh, ja, ko, fr, de, es, ru, ar).
3. Choose target_lang for the translation output.
4. (Optional) Provide a terminologies list to enforce consistent translations for key terms.
5. (Optional) Add sensitives to mask or filter sensitive words.
6. (Optional) Enable skip_image_segment if you want to bypass automatic text-region segmentation.
7. Run the job and view or download the extracted and translated text from the WaveSpeedAI interface.

Pro tips for best quality

• Upload clear, high-resolution images; avoid heavy compression or motion blur.
• Use auto for source_lang when the input might contain mixed or unknown languages.
• Define terminologies for verticals like finance, medicine, or e-commerce to keep key phrases consistent.
• Use sensitives to redact or mask names, IDs, or other sensitive fields before downstream use.
• Keep segmentation enabled when working with complex layouts (tables, multi-column documents, or posters).

Works well with other WaveSpeedAI models

• Google Nano Banana Pro – generate or edit high-quality localized visuals after you extract and translate text: Nano Banana Pro

• ByteDance Seedream v4 – create style-consistent localized posters, banners, and illustration sets based on the translated content: ByteDance Seedream v4

Notes

• Ideal for document digitization, translation of signage and menus, multilingual education content, and accessibility tools.
• For URL-based images, make sure the link is publicly accessible; a valid image will show a preview in the WaveSpeedAI UI before you run the task.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/alibaba/qwen-image/translate" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "source_lang": "auto",
    "target_lang": "zh",
    "sensitives": [],
    "terminologies": [],
    "skip_image_segment": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"