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DocuSense VS Ephesoft Transact

Compare DocuSense VS Ephesoft Transact and see what are their differences

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DocuSense logo DocuSense

Automate data extraction, validation & analytics from unstructured documents with 100% accuracy. Get 10 times more efficient at processing invoices, receipts, bank statements, forms, insurance certificates, ID cards or any other document.

Ephesoft Transact logo Ephesoft Transact

Leave manual data entry & sorting behind with Ephesoft Transact, our intelligent enterprise data classification & document capture software. Schedule your free 15-minute demo today to increase your productivity and decrease process time!
  • DocuSense
    Image date //
    2024-01-24
  • Ephesoft Transact Landing page
    Landing page //
    2023-08-20

DocuSense videos

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Ephesoft Transact videos

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Ephesoft Transact

Category Popularity

0-100% (relative to DocuSense and Ephesoft Transact)

DocuSense

Ephesoft Transact

OCR
18 18%
OCR
82% 82
Data Extraction
100 100%
Data Extraction
0% 0
Image Recognition
0 0%
Image Recognition
100% 100
AI
100 100%
AI
0% 0

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What are some alternatives?

When comparing DocuSense and Ephesoft Transact, you can also consider the following products

DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.

Amazon Textract - Easily extract text and data from virtually any document using Amazon Textract. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.

Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.

Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.

Laserfiche - Laserfiche offers powerful document management software solutions that are easy to implement and easy to use.

Nanonets OCR - Intelligent text extraction using OCR and deep learning

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