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Compare YabTab vs Base64.ai

YabTab - Data Extraction Software
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Base64.ai - Data Extraction Software
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Overview

Description

Yabtab is a data management solution to load, recover, analyze historical credit card transactions, mobile data entries and mobile purchase records, client/vendor payment documents, checks, ... Read More

Base64.ai is data extraction software that automatically crawls and extracts relevant and actionable information from the web and proprietary sources to drive revenue and growth strategy. ... Read More

Free Trial Availability
  • Free Trial available
  • No free trial
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Software Demo

Demo

YabTab has not given any software demo yet

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Other Details

Organization Types supported
  • Large Enterprises
  • Small Business
  • Medium Business
  • Individuals
  • Freelancers
  • Large Enterprises
  • Small Business
  • Medium Business
  • Individuals
  • Freelancers
Platforms Supported
  • Browser Based (Cloud)
  • Mobile - iOS
  • Installed - Windows
  • Mobile - Android
  • Installed - Mac
  • Browser Based (Cloud)
  • Browser Based (Cloud)
  • Mobile - iOS
  • Installed - Windows
  • Mobile - Android
  • Installed - Mac
  • Browser Based (Cloud)
Modes of support
  • 24/7 (Live rep)
  • Business Hours
  • Online
  • 24/7 (Live rep)
  • Business Hours
  • Online
API Support
  • Available
  • Available
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Media and Screenshots

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Frequently Asked Questions (FAQs)

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YabTab offers Free Trial, but Base64.ai does not.

YabTab is designed for Individuals, Medium Business and Small Business.

Base64.ai is designed for Individuals, Large Enterprises, Medium Business and Small Business.

Pricing details for both YabTab and Base64.ai are unavailable at this time. Contact the respective providers for more information.

Some top alternatives to YabTab includes Import.io, Scraper AI, ScrapingBot, WebAutomation.io, Xtract.io, EasyScrape, Browse AI and Grabbly.

Some top alternatives to Base64.ai includes Infrrd OCR, DOCBOT, Import.io, Scraper AI, DocAcquire Core, FormX.ai, Xtract.io, DocuSutra and Browse AI.

Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].