I'm unhappy with ABBYY accuracy on messy scans

That’s a common pain point—ABBYY can be excellent on clean documents, but messy scans often expose its limits.

A few things usually help:

1) Improve the scan/image first

OCR quality often depends more on preprocessing than the OCR engine itself.

• Deskew tilted pages
• Denoise speckles and scan artifacts
• Increase contrast / binarize
• Fix rotation/orientation
• Crop borders
• Sharpen faint text
• If possible, scan at 300 DPI or higher

2) Check document type

ABBYY may struggle more with:

• low-contrast photocopies
• handwritten notes
• stamps, highlights, annotations
• skewed or warped pages
• multi-column layouts with tables
• degraded fax-like scans

3) Tune ABBYY settings

If you’re using ABBYY FineReader / SDK:

• make sure the correct language pack(s) are selected
• use document layout analysis appropriate for the page type
• try different settings for picture-only vs text pages
• enable any image preprocessing options available
• review whether it’s treating the page as mixed content, table-heavy, or simple text

4) Consider hybrid workflows

For messy scans, a pipeline often beats a single OCR pass:

• preprocess with OpenCV / PIL
• OCR with ABBYY
• post-correct using dictionaries / domain terms / LLM validation
• route low-confidence pages to manual review

5) Benchmark alternatives

If ABBYY is underperforming for your specific scan quality, it may be worth testing:

• Google Cloud Vision OCR
• AWS Textract
• Microsoft Azure OCR
• Tesseract + strong preprocessing
• newer specialized OCR models if your docs are highly degraded

If you want, I can help you:

1. diagnose why ABBYY is missing text on your scans,
2. suggest preprocessing steps, or
3. compare ABBYY against alternatives for your use case.