Image OCR Text Recognition (Chinese / English Online Extraction)

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or click to choose. Clearer text produces better recognition results.
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Recognizes Chinese, English, and mixed Chinese-English text.
Language data is downloaded during the first recognition and cached by the browser afterward. Mixed Chinese and English uses the chi_sim + eng combined model.
The image is automatically resized, deskewed, and enhanced before recognition. For screenshots, web pages, and layouts where text is merged or missed, switching modes can significantly improve results.
Characters 0 Lines 0 Average Confidence —
Privacy：Recognition is performed entirely in your browser. Your image is never uploaded to the server.

Upload an image to recognize Chinese, English, or mixed Chinese and English locally. Automatic scaling, deskewing, and enhancement are supported, and results can be edited, copied, or downloaded as TXT.

Image OCR Text Recognition: Extract Editable Text from Images

Upload an image and recognize its text directly in the browser. The tool supports Chinese, English, and mixed Chinese-English content, with multiple recognition modes and preprocessing strategies. Recognition results can be edited, copied, or downloaded as TXT.

Supported Languages

  • Auto: Automatically selects the appropriate recognition language.
  • Chinese: Uses Chinese recognition data.
  • English: Uses English recognition data.
  • Chinese + English: Uses the chi_sim and eng models for mixed-language content.
  • On first use, the recognition engine and required language data are downloaded and then cached by the browser.

Recognition Modes

  • Auto: Automatically chooses a suitable recognition strategy.
  • Document Article: Designed for documents, articles, and multi-line text.
  • Screenshot Webpage: Designed for screenshots and webpage layouts.
  • Single Line: Designed for short single-line text.

Image Preprocessing

  • Automatically scales the image before recognition.
  • Corrects image tilt through deskewing.
  • Applies image enhancement to improve recognition quality.
  • If the result is not satisfactory, retry with strategies such as automatic enhancement, high contrast, binarization, white background with black text, sharpening, or the original image without enhancement.
  • Low-confidence lines and tiny low-confidence fragments are filtered to reduce false text output.

Result Editing

  • View the character count, line count, and average confidence.
  • Edit the recognized text directly in the result text box.
  • Copy the text or download it as TXT.
  • Download the current edited content.
  • Clear the current result when needed.

Errors and Environment

  • Recommended browsers include modern Chrome, Edge, Firefox, and Safari.
  • Recognition may fail if the engine or language data cannot be loaded.
  • Repeated recognition clicks may be blocked while processing is already in progress.
  • If no image is provided, the tool prompts the user to upload one.
  • Recognition can be canceled while processing.

Accuracy Tips

Use clear, high-resolution images with sufficient contrast. Keep text as horizontal as possible and avoid excessive blur, compression artifacts, shadows, or decorative backgrounds. For difficult images, try another recognition mode or preprocessing strategy.

Use and Privacy

Suitable for extracting text from screenshots, contract clauses, scanned documents, and paper materials. The recognition engine and language data are loaded on first use and then cached by the browser. All recognition takes place locally, and images are not uploaded to a server.

Online Image OCR: Convert Screenshots and Scanned Documents into Editable Text

Upload an image to recognize text locally in the browser. Chinese, English, and mixed Chinese-English content are supported, along with multiple recognition modes and preprocessing strategies. Results can be edited, copied, or downloaded as TXT.
  • Choose automatic recognition, Chinese, English, or a combined Chinese-English model; mixed content uses chi_sim and eng
  • Recognition modes include Auto, Document Article, Screenshot Webpage, and Single Line, allowing you to switch modes when text order is incorrect or characters are missing
  • Automatically scales, deskews, and enhances images before recognition to improve results on lower-quality images
  • If recognition is unsatisfactory, switch to another enhancement strategy and retry without uploading the image again
  • Low-confidence lines and hallucinated fragments are filtered to avoid garbled output from images without meaningful text
  • The result text box can be edited directly and displays character count, line count, and average confidence, with copy and TXT download support
Suitable for extracting screenshot descriptions, contract clauses, scanned document text, and organizing paper materials. The recognition engine and language data are loaded on first use and cached by the browser afterward. All recognition takes place locally, and images are not uploaded to a server.
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