pdf - chunhualiao/public-docs GitHub Wiki

https://pdfresizer.com/crop

https://www.sejda.com/html-to-pdf list of ulrs to pdfs

Here’s a rundown of the best PDF text extraction solutions as of 2025, depending on your needs:

🏆 Best Overall

  • Adobe Acrobat Pro DC
    • Pros: Very accurate, preserves formatting, supports scanned PDFs (OCR).
    • Cons: Expensive ($20+/month).
    • Ideal for: Professionals needing high-quality extraction.

⚡ Best Free Option

  • PDF.js (open-source by Mozilla)
    • Pros: Free, browser-based, good for digital PDFs.
    • Cons: Not as good for scanned (image-based) PDFs.
    • Ideal for: Developers or lightweight extraction.

📚 Best for Developers

  • PyMuPDF (fitz) (Python library)

    • Pros: Fast, accurate, handles both text and layout.
    • Cons: Requires coding.
    • Ideal for: Building your own tools.

  • PDFPlumber (Python library)

    • Pros: Best for structured data extraction (tables, complex layouts).
    • Cons: Slower for very large PDFs.
    • Ideal for: When you need to extract specific structured text.

  • Apache PDFBox (Java library)

    • Pros: Very mature, customizable.
    • Cons: Java-based; steeper learning curve.
    • Ideal for: Java developers needing deep PDF parsing.

🖼️ Best for Scanned PDFs (OCR)

  • Tesseract OCR (open-source)

    • Pros: Free, supports many languages, highly customizable.
    • Cons: Needs clean input images for best accuracy.
    • Ideal for: Extracting from scanned or photographed PDFs.

  • Google Cloud Vision API

    • Pros: Powerful OCR, very accurate, cloud-based.
    • Cons: Paid, needs internet access.
    • Ideal for: Large-scale or enterprise OCR tasks.

💼 Enterprise-grade Solutions

  • AWS Textract

    • Pros: Extracts not only text but structure (tables, forms).
    • Cons: Costly at scale, cloud-based.
    • Ideal for: Large business document automation.

  • ABBYY FineReader PDF

    • Pros: Best OCR engine in the market, very high accuracy.
    • Cons: Paid software (~$199 one-time or subscription).
    • Ideal for: Businesses needing top-notch document digitization.

🎯 Quick Recommendations Based on Scenario

Scenario Recommended Solution
Extract simple text from digital PDFs PDF.js / PyMuPDF
Extract structured data (tables, forms) PDFPlumber / AWS Textract
Extract from scanned image PDFs Tesseract OCR / ABBYY FineReader
Best UI and ease of use Adobe Acrobat Pro DC
Best open-source stack PyMuPDF + Tesseract OCR

Would you like me to also suggest ready-to-use apps (no coding) or batch processing tools if you have a lot of PDFs? 🚀
要不要我顺便也列一下适合大量PDF批量处理的工具？