Top 9 Amazon Textract alternatives for data extraction

Amazon Textract is AWS’s machine studying service that reads and processes paperwork robotically. It does extra than simply flip photos into textual content like primary OCR instruments. You need to use it to drag information from kinds and tables, course of each typed and handwritten textual content, work with PDFs and scanned photos, and deal with multilingual document processing. It even comes with ready-to-use instruments for particular paperwork like invoices, IDs, and lending paperwork.

Our evaluation of real-world implementations revealed Textract’s clear strengths and limitations. It excels at processing structured monetary paperwork and kinds inside the AWS ecosystem. The pricing begins at $1.50 per 1,000 pages for primary textual content extraction, scaling up for specialised doc sorts like invoices or lending paperwork. However, he platform falls brief in the case of:

Let us take a look at the highest Textract options that can assist you choose the precise device in your doc processing wants.

A quick comparability of Amazon Textract options

(*Seek advice from scoring methodology on the backside)

Now, let’s look at every various intimately to know their particular strengths, limitations, and splendid use circumstances. We’ll analyze how they examine to Textract and allow you to decide which answer most closely fits your doc processing wants.

1. Nanonets

Nanonets is an AI based document processing platform that goes past primary OCR to offer end-to-end automation. In contrast to Textract’s template-based strategy, we use deep studying to know doc context and adapt to new layouts robotically. Our platform combines OCR, pure language processing, and machine studying to deal with the whole lot from information extraction to workflow automation.

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

Finest suited to: Mid to massive organizations in finance, healthcare, logistics, and manufacturing sectors processing diversified doc sorts.

How does Nanonets examine to Amazon Textract?

2. Rossum

Rossum’s strategy to doc processing includes utilizing cognitive information seize as an alternative of conventional template-based extraction. The platform combines AI-powered understanding with intensive workflow automation to deal with your entire doc lifecycle – from receiving to processing to integration with enterprise methods.

Learn About: Rossum Alternatives and Competitors

Pricing: Enterprise-focused pricing with customized quotes primarily based on quantity. Consists of SLA ensures and devoted help.

Finest suited to: Organizations throughout manufacturing, retail, and monetary providers that want complete doc automation. Rossum significantly excels in AP departments and shared service facilities processing diversified vendor paperwork.

How does Rossum examine to Amazon Textract?

3. Docparser

Docparser affords a rule-based strategy utilizing zonal OCR expertise. Whereas Textract makes use of machine studying to know paperwork, Docparser enables you to outline precisely how and the place to extract information utilizing customizable parsing guidelines.

Pricing: Clear tiered pricing beginning at $39/month for 100 paperwork. Marketing strategy at $159/month for 1,000 paperwork. Enterprise plans obtainable.

Finest suited to: Small to mid-sized companies processing constant doc codecs, particularly in finance and operations.

How does Docparser examine to Amazon Textract?

4. Azure AI Doc Intelligence

Azure AI Document Intelligence is a part of Microsoft’s cloud platform, Azure, which offers over 200 cloud providers for companies. It represents Microsoft’s enterprise-focused strategy to doc processing, providing processing capabilities that run each within the cloud and by yourself servers. You may deploy it by containers that fit your particular information storage and processing location necessities.

Pricing: Pay-as-you-go primarily based on pages processed. Free tier contains 500 pages month-to-month. Enterprise pricing obtainable for top volumes.

Finest suited to: Enterprises throughout healthcare, finance, and authorities sectors that must course of paperwork within the cloud and on their servers.

How does Azure Type Recognizer examine to Amazon Textract?

5. Google Cloud Doc AI

Document AI represents Google’s enterprise strategy to doc processing. A part of the corporate’s cloud division, it combines OCR, pure language processing, and machine studying to remodel unstructured paperwork into actionable information. It offers an end-to-end platform for doc processing, evaluation, and storage.

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

Finest suited to: Enterprises processing diversified doc sorts at scale, particularly people who require complicated evaluation. If an integration with Google Cloud is sensible to your corporation.

How does Google Cloud Doc AI examine to Amazon Textract?

6. ABBYY FlexiCapture

ABBYY FlexiCapture is a strong clever doc processing platform that automates the seize, classification, and information extraction from all kinds of doc sorts and codecs. In contrast to Textract’s cloud-only mannequin, FlexiCapture affords each on-premises and cloud deployment choices, making it appropriate for organizations with strict information safety and compliance necessities.

Learn Extra: ABBYY FlexiCapture Alternatives and Competitors

Pricing: Based mostly on the variety of pages processed yearly, with the price per web page reducing as quantity will increase. On-premises and cloud-based pricing fashions can be found, with on-premises requiring the next upfront funding however decrease ongoing prices. Actual pricing is just not publicly disclosed.

Finest suited to: Enterprises and organizations with high-volume doc processing wants and strict compliance necessities, like healthcare, finance, and authorities.

How does ABBYY FlexiCapture examine to Amazon Textract?

7. Tungsten Seize (previously Kofax Seize)

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

Learn About: Kofax Alternatives and Competitors

Pricing: Pricing is predicated on the variety of pages scanned yearly, with quantity reductions obtainable. Extra prices might apply for add-on modules, skilled providers, and upkeep. Actual pricing is just not publicly disclosed, but it surely usually includes a major upfront funding and ongoing upkeep charges.

Finest suited to: Organizations with high-volume, centralized doc scanning necessities, similar to shared service facilities, BPOs, and enormous enterprises with devoted scanning departments.

How does Tungsten Seize examine to Amazon Textract?

8. Laserfiche

Laserfiche is a complete enterprise content material administration (ECM) and enterprise course of automation platform that features strong doc seize and processing capabilities. It affords an end-to-end answer that mixes clever doc seize, safe storage, workflow automation, and information administration.

Pricing: Affords each on-premises and cloud-based deployment choices, with pricing primarily based on the variety of customers and particular modules required. You will get a free trial for its cloud-based answer.

Finest suited to: Organizations throughout industries, significantly these with complicated doc administration and compliance necessities, similar to authorities companies, academic establishments, monetary providers corporations, and healthcare suppliers.

How does Laserfiche examine to Amazon Textract?

9. Hyperscience

Hyperscience is an clever doc processing platform that mixes AI, ML, and human-in-the-loop workflows to automate information extraction, classification, and validation. It affords an end-to-end answer that handles complicated, variable, and low-quality paperwork with excessive accuracy and automation charges.

Learn About: Hyperscience Alternatives and Competitors

Pricing: Affords customized pricing.

Finest suited to: Enterprises with complicated, high-volume doc processing wants, significantly these coping with variable, unstructured, or low-quality paperwork. Industries similar to monetary providers, insurance coverage, healthcare, and authorities might be able to automate claims processing, account opening, and bill processing, with excessive accuracy and effectivity.

How does Hyperscience examine to Amazon Textract?

How to decide on one of the best Amazon Textract various?

At Nanonets, we course of thousands and thousands of paperwork month-to-month for over 500 enterprises, together with 35% of Fortune 500 corporations. This offers us distinctive insights into what works (and what would not) in doc processing. We have seen firsthand how companies battle to seek out the precise doc processing answer, particularly when evaluating Amazon Textract options.

For the aim of this comparability, we evaluated Textract options primarily based on:

1. Actual efficiency information from processing thousands and thousands of paperwork
2. Direct suggestions from enterprise purchasers who switched platforms
3. Impartial person evaluations from G2, Capterra, Gartner, and TrustRadius
4. Arms-on testing by our doc processing specialists

Scoring methodology*

We have evaluated every various throughout 5 key parameters that matter most to organizations switching from Textract:

1. Ease of use: How shortly groups can begin utilizing the device with out intensive AWS experience
2. Ease of setup: Implementation effort, particularly in comparison with Textract’s AWS-centric setup
3. High quality of help: Availability and responsiveness of help, a typical ache level with Textract
4. Meets necessities: Skill to deal with doc processing wants past Textract’s capabilities
5. Product route: Steady enchancment and have growth tempo

Key choice components

Based mostly on widespread challenges organizations face with Textract, think about these facets:

Doc complexity necessities

• Do you want higher handwriting recognition than Textract affords?
• Are you processing complicated tables or kinds?
• Do you want to deal with a number of languages successfully?

AWS dependency issues

• How tightly built-in are you with AWS providers?
• Would a cloud-agnostic answer provide extra flexibility?
• Do you want on-premises deployment choices?

Value construction preferences

• Is Textract’s per-page pricing mannequin working in your quantity?
• Do you want extra predictable pricing?
• What’s your month-to-month doc processing quantity?

Integration wants

• Past AWS providers, what methods want to attach?
• Do you want pre-built connectors to widespread enterprise instruments?
• How essential is API flexibility?

Automation necessities

• Do you want workflow automation capabilities?
• Is batch processing essential in your use case?
• Do you require human-in-the-loop options?

Whereas industrial options provide complete options and help, organizations with technical assets or monetary constrainst can also think about open-source options for doc processing.

Tesseract OCR, maintained by Google, is without doubt one of the most established open-source OCR engines obtainable. An alternative choice is EasyOCR, which affords a Python library for OCR with help for handwriting recognition and a number of languages.

Nonetheless, not like the industrial options mentioned above, open-source options usually require important technical experience to implement and preserve and infrequently want extra growth work to match options like type discipline extraction, desk evaluation, and workflow automation that come commonplace with industrial platforms.

FAQs