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AI2024年10月28日6 min read

OCR技術を解説：機械が画像からテキストを読み取る仕組み

この記事は英語で利用可能です。インターフェースは日本語に翻訳されています。

Optical Character Recognition (OCR) converts images of text into machine-readable text. The technology has evolved dramatically with AI.

How Modern OCR Works

Modern OCR systems like Tesseract use multiple stages:

1. Preprocessing: Image cleanup, noise removal, binarization

2. Layout analysis: Identifying text regions, columns, paragraphs

3. Character segmentation: Breaking text into individual characters

4. Recognition: Neural networks classify each character

5. Post-processing: Language models correct errors

Supported Languages

Modern OCR engines support 100+ languages including:

  • Latin-based scripts (English, Spanish, French, German)
  • CJK scripts (Chinese, Japanese, Korean)
  • Arabic and Hebrew (right-to-left)
  • Devanagari, Thai, and many more

    • Tips for Better OCR Results

  • Use high-resolution images (300 DPI minimum for printed text)
  • Ensure good contrast between text and background
  • Keep text horizontal and well-aligned
  • Select the correct language for best accuracy

    • Extract text from any image with our OCR Text Extractor.

    Once the text is extracted, you can archive the original scan as a searchable PDF via our Image to PDF tool.

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