Table Extraction


Amazon Textract preserves the composition of data stored in tables during extraction. This is helpful for documents that are largely composed of structured data, such as financial reports or medical records that have column names in the top row of the table followed by rows of individual entries. You can use this feature to automatically load the extracted data into a database using a pre-defined schema. For example, rows of item numbers and quantities in an inventory report will retain their as


Amazon Web Services

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 165 fully featured services from data centers globally. Millions of customers —including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs.

Link to provider website


Detect Document Text API (OCR)
Monthly Price per page Effective Price per 1,000 Pages
First 1 Million pages $0.0015 $1.50
Over 1 Million pages $0.0006 $0.60

Analyze Document API for pages with tables

If you want to compare different solutions click here


${comment.solution.provider.user.first_name}$ ${comment.solution.provider.user.last_name}$

${ new Date(comment.created_at).getFullYear() + "/" + new Date(comment.created_at).getMonth() + "/" + new Date(comment.created_at).getDate() + " " + new Date(comment.created_at).getHours() + ":" + new Date(comment.created_at).getMinutes() }$


${response.comment.solution.provider.user.first_name}$ ${response.comment.solution.provider.user.last_name}$ modifier

${ new Date(response.created_at).getFullYear() + "/" + new Date(response.created_at).getMonth() + "/" + new Date(response.created_at).getDate() + " " + new Date(response.created_at).getHours() + ":" + new Date(response.created_at).getMinutes() }$
${ response.content }$

Connect to ai-compare to add your comment.