OCR has a real problem
Typical data extraction solutions use a single OCR engine to get the data out of the document.
But this single-engine architecture creates problems when it comes to complex documents and documents that vary over time. You know, real-world documents.
In this white paper, we discuss these OCR problems and outline a solution that we have found works really well.
Read the White Paper and learn:
- The truth of why your single-engine OCR won't work.
- How to use multiple OCRs to solve this problem.
- Preprocessing steps you must take to use multiple OCRs.
Download your free White Paper today and learn how to boost up the performance of your OCR solution.
OCR has a real problem
Typical data extraction solutions use a single OCR engine to get the data out of the document.
But this single-engine architecture creates problems when it comes to complex documents and documents that vary over time. You know, real-world documents.
In this white paper, we discuss these OCR problems and outline a solution that we have found works really well.
Read the White Paper and learn:
- The truth of why your single-engine OCR won't work.
- How to use multiple OCRs to solve this problem.
- Preprocessing steps you must take to use multiple OCRs.
Download your free White Paper today and learn how to boost up the performance of your OCR solution.
