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Compare Base64.ai vs Scraper AI

Base64.ai - Data Extraction Software
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Scraper AI - Data Extraction Software
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Overview

Description

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

Scraper AI is a data extraction solution to offer an internal semantic engine. The Scraper AI internal semantic engine enables advanced analysis of structured web, documents, photos, PDFs, ... Read More

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

Demo

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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

Videos
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3 Videos

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Frequently Asked Questions (FAQs)

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Neither Base64.ai nor Scraper AI offers a free trial.

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

Scraper AI is designed for Large Enterprises, Medium Business and Small Business.

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

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

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

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