Detect the scripts
Automatic mode looks for English, Chinese, numbers, and punctuation on the same page.
Read English and Chinese documents with bilingual OCR
Bilingual OCR detects English, Chinese, or both in the same document and transcribes each script without translating it. Review names, dates, punctuation, traditional and simplified forms, and the reading order where horizontal and vertical text meet.
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N/Alocal review signal
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Automatic language handling transcribes without translating. Compare proper names, traditional and simplified forms, dates, punctuation, and the order of mixed-script regions.
Preserve both scripts and one reading order
A bilingual page is not two unrelated OCR jobs. Headings, labels, names, and translations may alternate across scripts, so the result must keep visible characters and their document order together.
- Confirm that no English or Chinese block disappeared during language detection.
- Compare names and technical terms character by character rather than translating them.
- Review punctuation and reading order around mixed horizontal and vertical regions.
Keep two scripts in one faithful document
Use automatic language handling when one page switches between English and Chinese or contains both scripts in the same layout. The tool transcribes what is visible. It does not replace the source with a translation or romanized version.
Preserve the wording
Names, labels, and technical terms stay in their original script rather than being translated.
Rebuild the order
Mixed blocks are returned in a document sequence that still needs comparison with the page.
Protect the detail inside dense characters
Chinese recognition depends on internal stroke separation as well as the outer character shape. English text on the same page may remain readable after a resize that damages smaller Chinese characters.
Keep language selection automatic
A mixed page can switch scripts inside a heading, address, or product name. Choosing English only can discard Chinese text before the result is reviewed.
Preserve the original character size
Dense Chinese characters lose internal stroke distinctions quickly when an image is resized. Use the largest clear source and avoid messaging-app copies.
Review names without translation
Compare people, companies, places, product codes, and technical terms exactly as written. A plausible translation is not a faithful transcription.
Trace the reading order
Bilingual forms may place one language beside or below the other. Read the source and result together to catch duplicated, skipped, or interleaved blocks.
Review mixed-language fields by consequence
The result page reports approximate Latin word and Chinese character counts. Use them to notice a missing script block, then compare the exact source where a mistake would matter.
- People and companies
- Check every character, capitalization choice, space, and legal suffix.
- Dates and amounts
- Confirm digits, separators, currency units, and the label that gives the number meaning.
- Parallel labels
- Make sure English and Chinese labels remain attached to the same field or section.
Use bilingual OCR when scripts share the page
To decide how much review the result needs, read OCR Confidence Scores Explained and What They Miss.
For language detection, uncertainty, and human review, start with the bilingual recognition and confidence guides.
Best for
Notices, forms, labels, menus, reports, and scans containing English, Chinese, or both.
Not designed for
Translation, language learning feedback, romanization, or guaranteed recognition of every other language.
Review first
Names, traditional and simplified forms, dates, punctuation, and mixed-script reading order.
Keep both scripts in one faithful transcription
TXT is the most portable bilingual copy. Markdown retains lightweight structure, while JSON and CSV keep diagnostic data for checking names, dates, labels, and mixed-script regions.
English and Chinese OCR questions
Does bilingual OCR translate Chinese into English?
No. It transcribes the visible scripts. Translation is a separate task and could change names, technical terms, or the intended wording. See how automatic language handling works.
Can it distinguish traditional and simplified characters?
It returns the characters it recognizes from the source, but visually similar or low-resolution forms still require direct comparison. Use confidence as a review signal.