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Tools/Tika vs Textract
Tika

Tika

data
vs
Textract

Textract

data

Tika vs Textract — Comparison

Overview
What each tool does and who it's for

Tika

Please see the CHANGES.txt file for the full list of changes in the release and have a look at the download page for more information on how to obtain Apache Tika 2.4.0. Congratulations to Chris and the team at USC! Paolo Mottadelli will present Tika at ApacheCon US. Tika 0.2 should be released soon. Usage documentation has been added to the website. Work towards Tika 0.2 continues, Chris Mattman has volunteered to be the release manager The number of issues reported by external contributors is growing gradually. There was a Fast Feather Talk on Tika in ApacheCon EU 2008 We have good contacts especially with Apache POI and PDFBox We are working towards Tika 0.2 Metadata handling improvements are being discussed Tika 0.1 (incubating) has just been released. Chris Mattmann intends to use that release in Nutch, That's good progress towards Tika's goal of providing data extraction functionality to other projects. A new Tika logo was created by Google Highly Open Participation student, hasn't been integrated yet.

Textract

Amazon Textract is a machine learning (ML) service that uses optical character recognition (OCR) to automatically extract text, handwriting, and data

Automatically extract printed text, handwriting, layout elements, and data from any document Drive higher business efficiency and faster decision-making while reducing costs. Extract key insights with high accuracy from virtually any document. Scale up or scale down the document processing pipeline to quickly adapt to market demands. Securely automate data processing with data privacy, encryption, and compliance standards. Accurately extract critical business data such as mortgage rates, applicant names, and invoice totals across a variety of financial forms to process loan and mortgage applications in minutes. Better serve your patients and insurers by extracting important patient data from health intake forms, insurance claims, and pre-authorization forms. Keep data organized and in its original context, and remove manual review of output. Easily extract relevant data from government-related forms, such as small business loans, federal tax forms, and business applications, with a high degree of accuracy. As part of the AWS Free Tier, you can get started with Amazon Textract for free. The Free Tier lasts for three months, and new AWS customers can analyze up to: Total pages processed = 100,000 Total pages processed = 2,000,000 Price per page = $0.0015 for first 1 million and $0.0006 for pages after 1 million Total pages processed = 5,000 pages Price for page with table = $0.015 Price for page with form (key-value pair) = $0.05 Price per page with Queries = $0.015 Total pages processed = 2,000,000 pages Price for page with Tables, Forms and Queries = $0.070 for the first one million and $0.055 for the next one million Let’s assume you want to extract data from 100,000 invoices using the Analyze Expense API. The pricing per page in the US West (Oregon) region for 1 million pages is $0.01 and you process 100,000 invoices. The total cost would be $1,000. See the calculation below: Total pages processed = 100,000 Let’s assume you want to extract data from 1,500,000 invoices using the Analyze Expense API. The pricing per page in the US West (Oregon) region for one million pages is $0.01 per page and $0.008 per page after one million. The total cost would be $14,000. See the calculation below: Total pages processed = 1,500,000 Price per page = $0.01 for the first 1 million and $0.008 for the next 500,000 Let’s say you want to extract information from 100,000 identity documents using the Analyze ID API. The pricing per page in the US West (Oregon) Region for 100,000 pages is $0.025 per page for up to 100,000 pages. The total cost would be $2,500. Total pages processed = 100,000 Let’s say you want to extract information from 600,000 identity documents using the Analyze ID API. The pricing per page in the US West (Oregon) Region for 100,000 pages is $0.025 per page and $0.01 per page after 100,000. The total cost would be $7,500. Total pages processed = 600,000 Let’s say you want to extract information from 200,000 pages of mort

Key Metrics
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Avg Rating
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0
Mentions (30d)
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GitHub Stars
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GitHub Forks
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npm Downloads/wk
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PyPI Downloads/mo
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Community Sentiment
How developers feel about each tool based on mentions and reviews

Tika

0% positive100% neutral0% negative

Textract

0% positive100% neutral0% negative
Pricing

Tika

tiered

Textract

subscription + freemium + contract + tieredFree tier

Pricing found: $0.0015,, $150., $0.0015, $0.0015, $150

Developer Ecosystem
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GitHub Repos
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—
GitHub Followers
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20
npm Packages
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40
HuggingFace Models
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SO Reputation
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Company Intel
information technology & services
Industry
information technology & services
2,500
Employees
1,560,000
$35.0M
Funding
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Angel
Stage
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Supported Languages & Categories

Tika

DevOpsSecurityDeveloper Tools

Textract

AI/MLFinTechSecurityDeveloper Tools
View Tika Profile View Textract Profile