手把手教你用 Python 调 OCRmyPDF，从生成测试图片到批量转 PDF/A，还带召回率比较，适合文档处理需求的人。
本教程使用 Python 构建完整的 OCRmyPDF 流水线。先生成合成图像 PDF 以测试 OCR，再将其转换为可搜索 PDF 和 PDF/A 格式。通过提取侧边文本、计算单词召回率（word-recall）并比较文件大小来验证效果。还能调整 Tesseract 参数、清理噪点、纠正方向、在内存中运行 OCR 以及批量处理整个文件夹。
OCRmyPDF Tutorial: Convert Scanned Documents into Searchable PDF/A Files with Sidecar Text Extraction and Batch Processing
In this tutorial, we build a complete, self-contained OCRmyPDF pipeline in Python. We generate synthetic image-only PDFs so we can test OCR without external files, then convert them into searchable PDFs and PDF/A outputs. We extract sidecar text, validate results, measure word-recall, and compare file sizes. We also tune Tesseract, clean noisy scans, correct orientation, run OCR in memory, and batch-process whole folders. The post OCRmyPDF Tutorial: Convert Scanned Documents into Searchable PDF/A Files with Sidecar Text Extraction and Batch Processing appeared first on MarkTechPost .