Chinese OCR

Image to Text Chinese — Extract CJK Characters with OCR

Convert Chinese image to text on ExactRead: upload a PNG, JPEG, or WebP containing Chinese characters and compare OCR models optimized for CJK — export TXT or JSON.

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Chinese OCR is a character-density challenge

Chinese text packs far more information per character than Latin script: a single hanzi carries a syllable, a tone, and a meaning. OCR on a dense Chinese document — a contract, a product label, a scanned article — must distinguish thousands of character shapes, handle simplified and traditional variants, and separate Chinese characters from embedded numbers, punctuation, or Latin words. Engines that perform well on English often under-perform on Chinese, which is why testing specifically on your Chinese content matters.

CJK-optimized models for Chinese image to text

Qwen3-VL 32B is trained by Alibaba on large volumes of Chinese data and consistently leads on dense CJK extraction tasks. PaddleOCR, developed by Baidu, provides high-accuracy multi-script recognition with specific support for simplified and traditional Chinese, Japanese, and Korean. Gemini 3 Flash and GPT-5.4 are strong general vision models that also handle Chinese well, particularly when the document mixes Chinese with English. Google Cloud Vision OCR covers both simplified and traditional Chinese with dedicated language codes.

Simplified vs traditional, printed vs handwritten

Set the language hint to zh-Hans for simplified Chinese or zh-Hant for traditional before running image to text. Mixing the two in one document — common in Taiwan or Hong Kong materials that embed mainland simplified text — is best handled by a vision model with the hint set to auto. Printed Chinese type, especially in standardized fonts, is where all models do well. Cursive calligraphy and informal handwriting are much harder: compare at least two vision models and treat the output as a first pass for review.

Export Chinese OCR results for downstream use

Accepted Chinese image to text results export as plain TXT for direct pasting or as structured JSON that keeps the full text, detected tables, confidence, and warnings. JSON is useful when the Chinese content feeds a translation pipeline, a database import, or a document management system. The free plan's 100 monthly credits cover several compare-mode runs, which is enough to settle on the right model for your Chinese document type before committing to a workflow.

How it works

1
Upload your Chinese document
Drop a Chinese document onto the workbench or click to browse. Supported inputs are PNG, JPEG, and WebP images, plus PDF for PDF-capable models.
2
Let ExactRead filter the models
After upload, the model list is filtered to the OCR engines that actually support your file, so you never start a job that cannot run.
3
Run one model or compare several
Choose a single model when speed and cost matter, or compare mode to run several OCR models on the same Chinese document at once.
4
Review confidence and warnings
Each result keeps its model, status, confidence, and warnings, with the recommended output highlighted so you can judge accuracy quickly.
5
Accept and export TXT or JSON
Accept the output that reads your Chinese document most faithfully, then copy it or export TXT or JSON for the next step.

Models that suit this document type

Capability, format support, and credits come straight from the model catalog — a starting point, not a ranking. Test on your own documents to decide.

Model	Provider	Type	Formats	Credits / doc
Qwen3-VL 32B	Alibaba Qwen	Vision-language model	Image files	2
PaddleOCR	Baidu PaddlePaddle	Native OCR engine	Images and PDF	1
Gemini 3 Flash	Google	Vision-language model	Image files	1
GPT-5.4	OpenAI	Vision-language model	Image files	3
Google Cloud Vision OCR	Google	Native OCR engine	Images and PDF	2

Supported formats

PNG, JPEG, WebP — zh-Hans for simplified, zh-Hant for traditional

Model guidance

Qwen3-VL 32B and PaddleOCR for CJK; GPT-5.4 for mixed scripts

Credit note

Free plan: 100 credits/month; single model saves credits

Back to ExactRead home View OCR credit pricing

Frequently asked questions

Which models are best for Chinese OCR?

Qwen3-VL 32B and PaddleOCR lead on CJK-heavy documents. Gemini 3 Flash and GPT-5.4 handle Chinese well in general-purpose use. Google Cloud Vision OCR supports both simplified and traditional Chinese. Compare on your own document to find the best fit.

Should I set simplified or traditional Chinese?

Set zh-Hans for simplified or zh-Hant for traditional. For mixed documents, use auto so vision models handle both scripts in one pass without forcing a single variant.

Can it extract Chinese from mixed Chinese-English images?

Yes. Vision models like Qwen3-VL and GPT-5.4 handle bilingual Chinese-English content well. Set the language hint to auto to let the model manage script transitions without manual splitting.

Does Chinese OCR preserve table structure?

The structured JSON export keeps detected tables alongside the full Chinese text, confidence, and warnings. Dense Chinese tables — especially in financial or government documents — should still be checked against the original for row and column alignment.

Is there a free tier to test Chinese image to text?

Yes. The free plan includes 100 OCR credits every month on sign-in — enough to run compare mode on a batch of Chinese documents and pick the best engine before committing.