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Spext VS SuperAnnotate

Compare Spext VS SuperAnnotate and see what are their differences

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Contents:
  1. » Base Details
  2. » Reviews
  3. » Alternatives

Spext logo Spext

Convert your speech, podcasts and videos to text.

SuperAnnotate logo SuperAnnotate

Empowering Enterprises with Custom LLM/GenAI/CV Models.
  • Spext Landing page
    Landing page //
    2023-07-31
  • SuperAnnotate Landing page
    Landing page //
    2023-10-10

SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data. With advanced annotation and QA tools, data curation, automation features, native integrations, and data governance, we enable enterprises to build datasets and successful ML pipelines. Partner with SuperAnnotate’s expert and professionally managed annotation workforce that can help you quickly deliver high-quality data for building top-performing models.

Spext features and specs

No features have been listed yet.

SuperAnnotate features and specs

  • Activity dashboard: yes
  • Configurable workflow: yes
  • Data import/export: yes
  • Performance metrics: yes
  • Real time analytics: yes
  • Third-party integrations: yes
  • Collaboration tools: yes
  • Data visualization: yes
  • Drag and drop: yes
  • Multiple data sources : yes
  • Reporting/analytics: yes
  • Task management: yes
  • Visual analytics: yes
  • Monitoring: yes
  • Real-time monitoring: yes
  • Secure data storage: yes
  • Trend analysis: yes
  • Visual discovery: yes

Category Popularity

0-100% (relative to Spext and SuperAnnotate)

Spext

SuperAnnotate

Transcription
100 100%
Transcription
0% 0
Data Labeling
0 0%
Data Labeling
100% 100
Productivity
100 100%
Productivity
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Spext and SuperAnnotate

Spext Reviews

We have no reviews of Spext yet.
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SuperAnnotate Reviews

Top Video Annotation Tools Compared 2022
In this blog, we’ll quickly explore annotation platforms and the features they offer to help improve the video annotation process. We’ll be looking closely at six big names in the video annotation market: Innotescus, Dataloop, Scale, V7, SuperAnnotate, and Labelbox.
Source: innotescus.io

Social recommendations and mentions

SuperAnnotate might be a bit more popular than Spext. We know about 1 link to it since March 2021 and only 1 link to Spext. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Spext mentions (1)

  • Remote startup Hiring for Frontend roles - Spext
    Spext, a product startup based in the US, building from India. Spext is making it super easy for non professionals to create engaging audio/video content in less time by editing a text document instead of waveforms.📷 We are hiring for the following roles -. Source: over 2 years ago

SuperAnnotate mentions (1)

  • data-labeling tools comparison
    Ok, so I tried comparing 4 of the better data annotation tools like dLabel.org, CVAT.com, SuperAnnotate.com and Labelbox.com . I tried them all as thoroughly as I could and I probably missed some things so apologies in advance for that! Let me know what I missed in the comment. Btw, I'm Amir and I've worked most of my data-labeling career at dLabel.org. Source: about 3 years ago

What are some alternatives?

When comparing Spext and SuperAnnotate, you can also consider the following products

Descript - Text-based audio editor and automated transcription

Labelbox - Build computer vision products for the real world

Scale - Get human tasks done with just one line of code.

V7 - Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.

Jotengine - Turn your audio into easy to use transcripts

CloudFactory - Human-powered Data Processing for AI and Automation

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