Top 9 Amazon Textract alternatives for data extraction

Amazon Textract is AWS’s machine finding out service that reads and processes paperwork mechanically. It does further than merely flip images into textual content material like major OCR devices. It is best to put it to use to tug information from varieties and tables, course of every typed and handwritten textual content material, work with PDFs and scanned images, and take care of paperwork in numerous languages. It even comes with ready-to-use devices for explicit paperwork like invoices, IDs, and lending paperwork.

Our analysis of real-world implementations reveals Textract’s clear strengths and limitations. It excels at processing structured financial paperwork and varieties all through the AWS ecosystem. The pricing begins at $1.50 per 1,000 pages for major textual content material extraction, scaling up for specialised doc types like invoices or lending paperwork.

Nevertheless, the evaluation moreover revealed that the platform falls transient almost about:

Allow us to check out the very best Textract choices that may make it easier to select the becoming system in your doc processing needs.

At Nanonets, we course of tens of thousands and thousands of paperwork month-to-month for over 500 enterprises, along with 35% of Fortune 500 companies. This offers us distinctive insights into what works (and what doesn’t) in doc processing. We now have seen firsthand how corporations wrestle to hunt out the becoming doc processing decision, notably when evaluating Amazon Textract choices.

For the goal of this comparability, we evaluated Textract choices primarily based totally on:

1. Precise effectivity information from processing tens of thousands and thousands of paperwork
2. Direct recommendations from enterprise purchasers who switched platforms
3. Unbiased client evaluations from G2, Capterra, Gartner, and TrustRadius
4. Fingers-on testing by our doc processing consultants

(*Talk about with scoring methodology on the bottom)

Now, let’s research each totally different intimately to understand their explicit strengths, limitations, and supreme use cases. We’ll analyze how they consider to Textract and present you methods to resolve which decision best suits your doc processing needs.

1. Nanonets

Nanonets is an AI-powered document processing platform that goes previous major OCR to provide end-to-end automation. In distinction to Textract’s template-based methodology, we use deep finding out to understand doc context and adapt to new layouts mechanically. Our platform combines OCR, pure language processing, and machine finding out to take care of all of the issues from information extraction to workflow automation.

Pricing: Free tier obtainable for first 500 pages. Skilled plan begins at $999/month for 10,000 pages.

Biggest fitted to: Mid to large organizations in finance, healthcare, logistics, and manufacturing sectors processing totally different doc types.

How does Nanonets consider to Amazon Textract?

2. Rossum

Rossum’s methodology to doc processing consists of using cognitive information seize as a substitute of standard template-based extraction. The platform combines AI-powered understanding with in depth workflow automation to take care of your full doc lifecycle – from receiving to processing to integration with enterprise methods.

Pricing: Enterprise-focused pricing with custom-made quotes primarily based totally on amount. Consists of SLA ensures and devoted help.

Biggest fitted to: Organizations all through manufacturing, retail, and financial corporations that need full doc automation. Rossum considerably excels in AP departments and shared service amenities processing totally different vendor paperwork.

How does Rossum consider to Amazon Textract?

3. Docparser

Docparser presents a rule-based methodology using zonal OCR experience. Whereas Textract makes use of machine finding out to understand paperwork, Docparser lets you define exactly how and the place to extract information using customizable parsing pointers.

Pricing: Clear tiered pricing starting at $39/month for 100 paperwork. Advertising and marketing technique at $159/month for 1,000 paperwork. Enterprise plans obtainable.

Biggest fitted to: Small to mid-sized corporations processing fixed doc codecs, notably in finance and operations.

How does Docparser consider to Amazon Textract?

4. Azure AI Doc Intelligence

Azure AI Document Intelligence is part of Microsoft’s cloud platform, Azure, which gives over 200 cloud corporations for corporations. It represents Microsoft’s enterprise-focused methodology to doc processing, offering processing capabilities that run every throughout the cloud and by your self servers. You’ll be capable to deploy it by the use of containers that suit your explicit information storage and processing location requirements.

Pricing: Pay-as-you-go primarily based totally on pages processed. Free tier consists of 500 pages month-to-month. Enterprise pricing obtainable for prime volumes.

Biggest fitted to: Enterprises all through healthcare, finance, and authorities sectors that must course of paperwork throughout the cloud and on their servers.

How does Azure Type Recognizer consider to Amazon Textract?

5. Google Cloud Doc AI

Document AI represents Google’s enterprise methodology to doc processing. Part of the company’s cloud division, it combines OCR, pure language processing, and machine finding out to remodel unstructured paperwork into actionable information. It gives an end-to-end platform for doc processing, analysis, and storage.

Pricing: Pay-as-you-go primarily based totally on doc processing amount. Free tier obtainable for testing. Enterprise pricing obtainable for prime volumes.

Biggest fitted to: Enterprises processing totally different doc types at scale, notably those that require superior analysis. If an integration with Google Cloud is smart to your enterprise.

How does Google Cloud Doc AI consider to Amazon Textract?

6. ABBYY FlexiCapture

ABBYY FlexiCapture is a sturdy intelligent doc processing platform that automates the seize, classification, and information extraction from every kind of doc types and codecs. In distinction to Textract’s cloud-only model, FlexiCapture presents every on-premises and cloud deployment selections, making it acceptable for organizations with strict information security and compliance requirements.

Pricing: Primarily based totally on the number of pages processed yearly, with the related charge per internet web page decreasing as amount will improve. On-premises and cloud-based pricing fashions might be discovered, with on-premises requiring a greater upfront funding nonetheless lower ongoing costs. Precise pricing shouldn’t be publicly disclosed.

Biggest fitted to: Enterprises and organizations with high-volume doc processing needs and strict compliance requirements, like healthcare, finance, and authorities.

How does ABBYY FlexiCapture consider to Amazon Textract?

7. Tungsten Seize (beforehand Kofax Seize)

Tungsten Capture is a doc scanning and information extraction decision that automates the conversion of paper paperwork into digital information. It focuses on high-volume doc scanning, OCR, and information seize.

Pricing: Pricing depends on the number of pages scanned yearly, with amount reductions obtainable. Additional costs would possibly apply for add-on modules, expert corporations, and maintenance. Precise pricing shouldn’t be publicly disclosed, however it absolutely generally features a large upfront funding and ongoing repairs fees.

Biggest fitted to: Organizations with high-volume, centralized doc scanning requirements, similar to shared service amenities, BPOs, and large enterprises with devoted scanning departments.

How does Tungsten Seize consider to Amazon Textract?

8. Laserfiche

Laserfiche is a whole enterprise content material materials administration (ECM) and enterprise course of automation platform that options sturdy doc seize and processing capabilities. It presents an end-to-end decision that mixes intelligent doc seize, protected storage, workflow automation, and data administration.

Pricing: Gives every on-premises and cloud-based deployment selections, with pricing primarily based totally on the number of prospects and explicit modules required. You’re going to get a free trial for its cloud-based decision.

Biggest fitted to: Organizations all through industries, considerably these with superior doc administration and compliance requirements, similar to authorities companies, tutorial institutions, financial corporations corporations, and healthcare suppliers.

How does Laserfiche consider to Amazon Textract?

9. Hyperscience

Hyperscience is an intelligent doc processing platform that mixes AI, ML, and human-in-the-loop workflows to automate information extraction, classification, and validation. It presents an end-to-end decision that handles superior, variable, and low-quality paperwork with extreme accuracy and automation fees.

Pricing: Gives custom-made pricing.

Biggest fitted to: Enterprises with superior, high-volume doc processing needs, considerably these dealing with variable, unstructured, or low-quality paperwork. Industries similar to financial corporations, insurance coverage protection, healthcare, and authorities may probably automate claims processing, account opening, and invoice processing, with extreme accuracy and effectivity.

How does Hyperscience consider to Amazon Textract?

When you occur to’re considering shifting away from Amazon Textract, your various will rely on numerous key parts now we have acknowledged from analyzing tons of of client experiences and implementation cases.

Scoring methodology*

We now have evaluated each totally different all through 5 key parameters that matter most to organizations switching from Textract:

1. Ease of use: How quickly teams can start using the system with out in depth AWS expertise
2. Ease of setup: Implementation effort, notably as compared with Textract’s AWS-centric setup
3. Prime quality of help: Availability and responsiveness of help, a typical ache degree with Textract
4. Meets requirements: Potential to take care of doc processing needs previous Textract’s capabilities
5. Product route: Regular enchancment and have development tempo

Key selection parts

Primarily based totally on frequent challenges organizations face with Textract, ponder these factors:

Doc complexity requirements

• Would you like increased handwriting recognition than Textract presents?
• Are you processing superior tables or varieties?
• Do it’s worthwhile to take care of numerous languages efficiently?

AWS dependency points

• How tightly built-in are you with AWS corporations?
• Would a cloud-agnostic decision present further flexibility?
• Would you like on-premises deployment selections?

Worth development preferences

• Is Textract’s per-page pricing model working in your amount?
• Would you like further predictable pricing?
• What’s your month-to-month doc processing amount?

Integration needs

• Previous AWS corporations, what methods wish to connect?
• Would you like pre-built connectors to frequent enterprise devices?
• How important is API flexibility?

Automation requirements

• Would you like workflow automation capabilities?
• Is batch processing important in your use case?
• Do you require human-in-the-loop choices?

Whereas enterprise choices present full choices and help, organizations with technical belongings or financial constrainst may ponder open-source choices for doc processing.

Tesseract OCR, maintained by Google, is doubtless one of the established open-source OCR engines obtainable. One other selection is EasyOCR, which presents a Python library for OCR with help for handwriting recognition and numerous languages.

Nonetheless, in distinction to the enterprise choices talked about above, open-source choices generally require important technical expertise to implement and protect and often need further development work to match choices like kind topic extraction, desk analysis, and workflow automation that come commonplace with enterprise platforms.

FAQs