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SetNeedsReadable
English Syntax Highlighter
Highly for iOS
Grammarly
LINER
Linguix
Simple & easy syntax highlighting for Medium articles.

Labelbox
CloudFactory
Appen
Playment
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LINER
SuperAnnotate
Labelling made easy-training data to build AI/ML models fast

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | chromewebstore.google.com | labellerr.com |
| Pricing | — | |
| Company | — | Startup from the United States · 1 - 9 employees · 2020 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Medium Code Highlighter yet.
Labellerr is a powerful, AI-driven data annotation platform for machine learning, streamlining labeling for images, videos, text, PDFs, and audio. With advanced automation, and seamless cloud integrations, it delivers 99.8% accurate labels, cutting annotation time by up to 80%. Its intuitive...
What each product offers, as listed by its team.


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Track Objects 10x Faster in Videos with Labellerr’s SAM 2 Annotation Tool
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Medium Code Highlighter and Labellerr.
Labellerr's answer:
Labellerr stands out with its AI-driven automation, achieving 99.8% accurate annotations for images, videos, text, PDFs, and audio, cutting labeling time by 80%. It offers custom workflows, seamless cloud integration (AWS, GCP, Azure), and enterprise-grade security with HIPAA/GDPR compliance.
Labellerr's answer:
Labellerr outperforms competitors with 99.8% accurate AI-driven annotation, 80% faster workflows, multi-modal support (images, videos, text, PDFs, audio), custom workflows, seamless cloud integration, flexible pricing, and HIPAA/GDPR-compliant security.
Labellerr's answer:
Our primary audience at Labellerr (www.labellerr.com) consists of AI/ML developers, data scientists, and businesses building or refining machine learning models. This includes startups, enterprises, and research teams across industries like computer vision, natural language processing, and audio processing, who require high-quality, scalable data annotation and labeling solutions to train their AI models efficiently.
Labellerr's answer:
Founded in 2018 by Puneet Jindal, Labellerr tackles the data annotation bottleneck in AI/ML development. Based in San Francisco, it offers a platform with a "Smart Feedback Loop" for automated, high-accuracy data labeling (up to 99.5%) for computer vision, NLP, and audio. Serving industries like healthcare and automotive, Labellerr provides secure, scalable solutions, earning a 4.8/5 G2 rating.
Labellerr's answer:
Labellerr serves a diverse range of enterprise customers across industries such as automotive, healthcare, retail, and manufacturing. While specific customer names are not publicly disclosed due to confidentiality agreements, Labellerr has secured significant clients, including prominent organizations in medical imaging, autonomous vehicles, and smart city applications.
Labellerr's answer:
Labellerr uses AI/ML for auto-labeling, a proprietary Smart Feedback Loop for automated data curation, cloud-based infrastructure for scalability, Auth0 with AES-256 and TLSv1.2+ for security, and real-time analytics dashboards with APIs for integration and high-accuracy data annotation.
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