Do I need OCR APIs or can I just use Tesseract for scanned PDFs?

You can absolutely use Tesseract for scanned PDFs in many cases — you do not need a paid OCR API unless you want convenience, scale, or better accuracy.

When Tesseract is enough

Use Tesseract if:

• You’re processing a few PDFs or a modest volume
• The scans are reasonably clear
• You can handle some setup:
  • convert PDF pages to images
  • run OCR on each page
  • maybe pre-process images (deskew, denoise, increase contrast)

Typical flow:

1. Extract pages as images from the scanned PDF
2. Run Tesseract OCR on each image
3. Rebuild text / searchable PDF if needed

When an OCR API may be better

An OCR API can be worth it if you need:

• Higher accuracy on messy scans, tables, handwriting, or low-quality images
• Automatic layout detection (tables, forms, columns)
• Easy scaling without managing OCR infrastructure
• Less engineering effort
• Language/model improvements without tuning

Important caveats with Tesseract

Tesseract works well for:

• clean printed text
• standard document scans
• many common languages

It’s weaker on:

• skewed or blurry scans
• complex layouts
• tables/forms
• handwriting
• low-resolution PDFs

Practical recommendation

• If your PDFs are mostly clean scanned documents, start with Tesseract
• If you hit quality issues or need structured extraction, evaluate an OCR API

If you want, I can also show you:

• a Python pipeline for OCRing scanned PDFs with Tesseract, or
• a comparison of Tesseract vs common OCR APIs for your use case.