Name: Amazon Textract
Rating: 4.4 (33 reviews)

Overview

Product Information on Amazon Textract

Updated 13th October 2025

What is Amazon Textract?

Amazon Textract is a software that automatically extracts text, handwriting, and data from scanned documents such as forms and tables. It uses machine learning models to analyze and understand the contents of documents in various formats including PDFs and images. The software identifies and retrieves key fields, structured data, and contextual information without the need for manual intervention. Amazon Textract enables businesses to automate document processing workflows and integrate extracted data into downstream systems and applications, helping organizations address challenges related to manual data entry, operational efficiency, and data accuracy.

Overall experience with Amazon Textract

DATA ANALYST

50M - 250M USD, Miscellaneous

FAVORABLE

“Reliable Extraction For Most Formats Yet Some Fields Require Manual Validation”

5.0

Dec 1, 2025

Overall experience with Amazon Textract has been excellent, as it automates document data extraction efficiently using multiple APIs and reduces manual processing. Textract handles most document types accuractely and integrated smothly with AWS workflows, though some complex layouts still require follow-up checks.

MLOPS ENGINEER

1B - 3B USD, Banking

CRITICAL

“The Strengths and Weaknesses of Textract”

3.0

Apr 23, 2025

Overall, Textract gets the job done, but it would be better if it supported more languages.

About Company

Company Description

Amazon Web Services (AWS), established in 2006, is focused on providing essential infrastructure services to businesses globally in the form of cloud computing. The key advantage offered through cloud computing, particularly via AWS, is its capacity to shift fixed infrastructure expenses into flexible costs. Businesses have been able to forgo extensive planning and procurement of servers and other Information Technology (IT) resources, owing to AWS. AWS seeks to provide businesses with prompt and cost-effective access to resources using Amazon's expertise and economies of scale, as and when their business requires. Currently, AWS offers a robust, scalable, economic infrastructure platform on the cloud powering an extensive array of businesses worldwide. It operates across numerous industries with data center locations in various parts of the globe including U.S., Europe, Singapore, and Japan.

Company Details

Company type

Public

Year Founded

2006

Head office location

Seattle, United States

Number of employees

10001+

Website

http://aws.amazon.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

User Sentiment About Amazon Textract

Reviewer Insights for: Amazon Textract

Deciding Factors: Amazon Textract Vs. Market Average

Performance of Amazon Textract Across Market Features

Amazon Textract Likes & Dislikes

I like Textract's ability to quickly and reliably extract structured and unstructured data from a wide variety of documents including pngs and pdfs. I value Textracts ability to automatically extract text, tables, key fields at scale without buildling or maintaining OCT infrastructure.

Pre-made document processing types.

1. It has a solid baseline Optical Character Recognition, especially for structured PDFs and standard forms. 2. It's good at table extraction, which is how most of the information is presented when it comes to policy documents for insurance. 3. It is easy to integrate since the API is straightforward and fits nicely into an already existing AWS infrastructure.

Costs can rise with large volumes of documents or high frequency processing. Some formatting or nested tables may not always extract perfectly on the first pass. Some of the extracted fields need additional validation or post-processing logic.

It does not support Cyrillic characters.

1. It requires a lot of post-processing in order to make the output usable. 2. Industry-specific terminology isn't well understood, leading to a lot of wrong labelings. 3. Accuracy drops on complex layouts.

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Peer Discussions

Amazon Textract Reviews and Ratings

4.4

(33 Ratings)

Rating Distribution

5 Star: 45%
4 Star: 45%
3 Star: 9%
2 Star: 0%
1 Star: 0%

Customer Experience

Evaluation & Contracting

4.2

Integration & Deployment

4.5

Service & Support

4.2

Product Capabilities

4.3

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DATA ANALYST
50M-1B USD
Miscellaneous
Review Source
Reliable Extraction For Most Formats Yet Some Fields Require Manual Validation
5.0
Dec 1, 2025
Overall experience with Amazon Textract has been excellent, as it automates document data extraction efficiently using multiple APIs and reduces manual processing. Textract handles most document types accuractely and integrated smothly with AWS workflows, though some complex layouts still require follow-up checks.
DATA AND ANALYTICS MANAGER
50M-1B USD
Software
Review Source
Requires Significant Post-Processing For Usable Output With Industry-Specific Documents
4.0
Nov 27, 2025
AWS Textract gets the job done but it's not always precise with complex layouts or industry-specific terms. It works well for basic OCR and structured fields but struggles with nuanced language and requires extra cleanup and custom logic to make the output usable.
SENIOR DATA ENGINEER
50M-1B USD
Software
Review Source
Extracts Text and Tables From Documents With Minimal Context Required
5.0
Nov 5, 2025
Its a gerat product to extract text from documents. Does the job without needing to give it a lot of context. Ability to export tables as dataframes is so much fun
Data Analyst
50M-1B USD
Healthcare and Biotech
Review Source
Structured Data Extraction Tool Shows High Accuracy for Standard Forms
5.0
Nov 17, 2025
Good tool to extract structured data, like tables and key value pairs from documents with high accuracy.
DATA ANALYST
Gov't/PS/Ed
Education
Review Source
Amazon Textract Delivers Efficient Document Processing Despite Initial Learning Challenges
5.0
Nov 17, 2025
Amazon Textract has been a pleasure to use, providing fast, reliable, and seamless document processing that went beyond what I anticipated.

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