Cloud Textract - Extract Text and Data from Documents as SaaS icon

Cloud Textract - Extract Text and Data from Documents as SaaS

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Cloud Textract - Extract Text and Data from Documents as SaaS

Description

All SaaS features and all Payment Gateways (Paypal | Stripe | Mollie | Braintree | Paystack | Razorpay | BankTransfer | Coinbase) are available with Regular License. Start your SaaS Business Today!

Description

Cloud Textract is a SaaS platform that uses a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents. It goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables. Today, many companies manually extract data from scanned documents such as PDFs, Images (PNG | JPEG), Tables, and Forms, or through simple OCR software that requires manual configuration (which often must be updated when the form changes). To overcome these manual and expensive processes, Textract uses ML to read and process any type of document, accurately extracting text, handwriting, tables, and other data with no manual effort. Cloud Textract can extract the data in minutes instead of hours or days. In addition you can leverage Receipt Analyze feature that can find the vendor name on a receipt even if it’s only indicated within a logo on the page without an explicit label called “vendor”. It can also find and extract item, quantity, and prices that are not labeled with column headers for line items. You can also accept payments in Bitcoin | Bitcoin Cash | Ethereum | USD Coin | Litecoin | Dogecoin | Dai cryptocurrencies via new Coinbase gateway for Prepaid plans. As part of the AWS Free Tier, you can get started with Amazon Textract for free. The Free Tier lasts for 3 months, and new AWS customers can analyze up to 1,000 pages per month using Text Tasks and up to 100 pages per month using the Form or Table Tasks.

Online Demo

Features of Cloud Textract

  1. Support for documents in 6 Languages (EN | FR | DE | IT | PT | ES)
  2. Support for documents in PDF | PNG | JPEG formats
  3. Support for handwritten documents in English language
  4. Powered By Amazon Web Services
  5. Document Form Key Pair identification
  6. Document Table identification
  7. Receipt Analysis for Summary and Item data
  8. Support for documents in PNG | JPEG formats up to 10MB in size
  9. Support for documents in PDF format up to 500MB in size
  10. Support for documents in PDF format up to 3000 pages
  11. Full Affiliate/Referral system
  12. Fully Responsive Interface
  13. Create Monthly Subscription Plan easily
  14. Create Various Prepaid Plans easily
  15. Create Coupons/Promocodes for Prepaid Plans
  16. Various Included Payment Gateways:
    • Paypal (Online) (Subscription/Prepaid)
    • Stripe (Online) (Subscription/Prepaid)
    • Razorpay (Online) (Subscription/Prepaid)
    • Paystack (Online) (Subscription/Prepaid)
    • Mollie (Online) (Subscription/Prepaid)
    • Braintree (Online) (Prepaid)
    • Coinbase (Cryptocurrency) (Prepaid)
    • BankTransfer (Offline) (Subscription/Prepaid)
  17. Closely Monitor Monthly & Yearly Incomes
  18. Closely Monitor Estimated Spending for Textract Services
  19. Fully Ready to go SaaS Platform
  20. Powerful Admin Panel
  21. Developed with PHP 7.4.x and Laravel 8.4.x
  22. Detailed and Comprehensive Documentation

Cloud Vendor Textract Prices

Notes

Please note, for the script to work correctly, you need to have valid AWS Account.

Latest Changes

11.02.2022 - v1.0.1
    - New: Auto Update feature added
    - New: Upload file preview - enable/disable option added
    - Update: Results and Projects table performance improvements
    - Update: T&C and Policy page layouts updated
    - Update: All results view tables updated
    - Fix: Projects view all results fixed
    - Fix: Projects metrics view fixed
    - Fix: Incorrect JSON result parsing fixed

02.12.2021 - v1.0.0
     - Initial Release

Categories

codecanyon

Tags

amazon textractamazon web servicesartificial intelligenceawsmachine learningocrtext recognition

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