Which languages and characters are supported?
The current configuration targets Chinese, English and numbers. Image clarity, font, angle, texture and layout all affect the result.
LOCAL OCR · WORKER
PaddleOCR.js runs detection and recognition in a dedicated Worker so the page stays responsive. Text and images are not uploaded to the application server.
The OCR Worker and models are downloaded only after you start recognition.
SOURCE IMAGE
Choose an image containing text
RECOGNIZED TEXT
0 blocksUpload an image and PaddleOCR.js with ONNX Runtime Web detects and recognizes Chinese, English and numbers in a dedicated worker. Review the text, copy it, or export UTF-8 TXT; neither the image nor the result is uploaded to the application server.
BEST FOR
People extracting Chinese, English and numbers from screenshots, posters, receipts or photographed documents.
Upload a clear image with sufficient text contrast
Start recognition and let the worker detect and read text
Check the wording, numbers and line breaks
Copy the result or export TXT
The current configuration targets Chinese, English and numbers. Image clarity, font, angle, texture and layout all affect the result.
No. PaddleOCR detection and recognition run in a dedicated worker, while the page keeps its cancel, copy and reselect controls.
OCR can confuse similar characters, low-contrast text or complex layouts. Check names, amounts, identifiers and important text before using them.
GlobalCoreHub runs the core AI Image OCR workflow in the current browser. Tool input is not uploaded to the GlobalCoreHub application server; any local saving described on this page stays in the current browser until its site data is cleared.