Machine Learning Engineer at a tech services company with 1,001-5,000 employees
Real User
Top 10
Aug 29, 2025
The main benefit of using Amazon Textract needs improvement, specifically when we extract the tabular data, it is very complicated to get its coordinate functions. We get the coordinates for child and its parent and its child, which is very difficult to extract for the tabular structure or CSV format. Sometimes the tabular data does not process properly for complex tabular structures or complex tables. It would be helpful if we could improvise the model or the OCR solution to extract the complex tabular data and get its coordinates or bounding boxes for the tables, especially for complex tables. Apart from this tabular data, there is also no solution for checkbox detection. It would be helpful if we got a solution to detect the checkbox and get the bounding boxes for the checkbox and its value.
Software Engineer at Metatechno Lanka Company (Pvt.) Ltd.
Real User
Top 10
Apr 9, 2025
The product has not given correct results for me. It was not accurate, especially with handwritten items and documents with pencil marks, which Amazon Textract ( /products/amazon-textract-reviews ) failed to identify correctly.
Amazon Textract is a service that automatically extracts text and data from scanned documents. Amazon Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.
Many companies today extract data from documents and forms through manual data entry that’s slow and expensive or through simple optical character recognition (OCR) software that requires manual customization or configuration. Rules and workflows...
Some easy integration with other systems could be improved.
The main benefit of using Amazon Textract needs improvement, specifically when we extract the tabular data, it is very complicated to get its coordinate functions. We get the coordinates for child and its parent and its child, which is very difficult to extract for the tabular structure or CSV format. Sometimes the tabular data does not process properly for complex tabular structures or complex tables. It would be helpful if we could improvise the model or the OCR solution to extract the complex tabular data and get its coordinates or bounding boxes for the tables, especially for complex tables. Apart from this tabular data, there is also no solution for checkbox detection. It would be helpful if we got a solution to detect the checkbox and get the bounding boxes for the checkbox and its value.
The product has not given correct results for me. It was not accurate, especially with handwritten items and documents with pencil marks, which Amazon Textract ( /products/amazon-textract-reviews ) failed to identify correctly.