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Textrics VS TVEyes

Compare Textrics VS TVEyes and see what are their differences

Textrics logo Textrics

Text Analysis Software

TVEyes logo TVEyes

Founded in 1999, TVEyes' mission is to be the global search engine for TV and radio coverage. No matter where it appears in the world, if it aired on TV, you’ll find it on TVEyes.
  • Textrics Landing page
    Landing page //
    2023-08-26
  • TVEyes Landing page
    Landing page //
    2023-05-23

TVEyes broadcast media monitoring solution combines human supervision, artificial intelligence and machine learning techniques to analyze broadcast and online video. By combining language-specific automated speech recognition, image recognition, and industry-leading video search technology, TVEyes turns unstructured audio/video content into highly structured, actionable intelligence.

Category Popularity

0-100% (relative to Textrics and TVEyes)
Sentiment Analysis
100 100%
0% 0
Media Monitoring
0 0%
100% 100
Analytics
100 100%
0% 0
Reputation Management
0 0%
100% 100

User comments

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Reviews

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Textrics Reviews

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TVEyes Reviews

10 Affordable News Monitoring Tools to Keep You in the Know
Contrary to other tools, TVEyes is able to do news monitoring only in traditional media. The platform allows users to monitor, report, analyze, and archive news from the biggest international markets.
Source: brand24.com

What are some alternatives?

When comparing Textrics and TVEyes, you can also consider the following products

BytesView - BytesView data analysis tool is one of the most effective and easiest ways to extract insights for unstructured text data.

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monkeylearn - Text Mining Made Easy. Extract and classify information from text. Integrate with your App within minutes.

Animoto - Animoto turns your photos and video clips into professional video slideshows in minutes. Fast, free and shockingly simple - we make awesome easy.

Enlabeler - Your No. 1 data labeling solution.

DeepLink - Deeplink is a deep linking platform for native apps, enabling app developers to link to specific pages inside their apps.