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Label Studio
Training Data · 261K monthly visits

Label Studio is a versatile open-source data labeling platform designed for a wide range of data types. It enables users to annotate images, text, audio, video, and time-series data to fine-tune LLMs, prepare training data for machine learning, and validate AI models with human-in-the-loop feedback.

VS
Labelbox
Labeling · 1.1M monthly visits

Labelbox is a comprehensive data-centric AI platform, or "Data Factory," designed for AI teams. It provides integrated software, expert services, and a talent marketplace to create, manage, and evaluate high-quality training data for advanced AI models, including LLMs and multimodal systems.

Label Studio vs Labelbox: pricing, features, traffic, and use cases

Compare Label Studio and Labelbox across positioning, pricing, traffic, and user feedback using structured factual data.

Updated Aug 18, 2026

Product overview

Label Studio Product overview

Label Studio is a versatile open-source data labeling platform designed for a wide range of data types. It enables users to annotate images, text, audio, video, and time-series data to fine-tune LLMs, prepare training data for machine learning, and validate AI models with human-in-the-loop feedback.

Preview

Labelbox Product overview

Labelbox is a comprehensive data-centric AI platform, or "Data Factory," designed for AI teams. It provides integrated software, expert services, and a talent marketplace to create, manage, and evaluate high-quality training data for advanced AI models, including LLMs and multimodal systems.

Preview

Detailed feature comparison

FeatureLabel StudioLabelbox
Primary categoryTraining DataLabeling
Added2025-08-132025-08-11
PricingFreemiumFreemium
Official websitelabelstud.iolabelbox.com
Product typeWebsiteWebsite
Performance data
User ratingNot verifiedNot verified
Comments00
Monthly visits261K1.1M
Monthly growth9%19.3%
Favorites14092
DetailsView detailsView details

Label Studio vs Labelbox monthly traffic

Compare Label Studio and Labelbox by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Label Studio vs Labelbox monthly traffic comparison, Label Studio currently shows 261K visits and Labelbox shows 1.1M; Labelbox has about 4.2 times the visible traffic of Label Studio, an absolute difference of about 834K visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

Label Studio monthly traffic:

Latest traffic

Monthly visits
261K
Avg. visit duration
1:15
Pages per visit
1.98
Bounce rate
45.34%
Data updated 2026-06-11

Monthly traffic trend

  • 2025/9: 217.4K Monthly visits
  • 2026/1: 229.7K Monthly visits
  • 2026/2: 192.9K Monthly visits
  • 2026/3: 220.2K Monthly visits
  • 2026/4: 239.5K Monthly visits
  • 2026/5: 261K Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇩🇪Germany42.84%111.8K
🇺🇸United States16.26%42.4K
🇨🇳China14.08%36.7K
🇮🇳India13.59%35.5K
🇻🇳Vietnam13.23%34.5K

Traffic sources

Source typePercentageTraffic
Direct80.15%209.2K
Referral18.19%47.5K
Email1.66%4.3K

Search keywords

image labelleinglabel studiolabel-studiolabelstudiolabel studio interface

Labelbox monthly traffic:

Latest traffic

Monthly visits
1.1M
Avg. visit duration
4:51
Pages per visit
7.12
Bounce rate
29.75%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 1M Monthly visits
  • 2026/1: 1.1M Monthly visits
  • 2026/2: 1.1M Monthly visits
  • 2026/3: 848.5K Monthly visits
  • 2026/4: 918.3K Monthly visits
  • 2026/5: 1.1M Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States51.51%564.1K
🇮🇳India16.98%185.9K
🇫🇷France13.54%148.3K
🇲🇽Mexico10.56%115.6K
🇪🇬Egypt7.41%81.1K

Traffic sources

Source typePercentageTraffic
Direct60.34%660.7K
Referral29.82%326.5K
Email9.84%107.8K

Search keywords

alignerralignerr loginlabel boxlabelboxlabelbox login
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Labelbox first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Usage comparison

Compare the core capabilities of Label Studio and Labelbox

Label Studio Core features

Training Data
Data Labeling
Data Management

Labelbox Core features

Labeling
Machine Learning
Workflow Management

Use cases

Label Studio Use cases

AI training
computer vision
data annotation
data labeling
llm
machine learning
NLP
annotation tool
fine-tuning
open source
RLHF

Labelbox Use cases

AI training
computer vision
data annotation
data labeling
llm
machine learning
NLP
human-in-the-loop
model evaluation
multimodal AI
reinforcement learning

Label Studio vs Labelbox:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Label Studio vs Labelbox comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Label Studio is primarily listed under “Training Data”, while Labelbox is primarily listed under “Labeling”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (Label Studio: Training Data; Labelbox: Labeling); Monthly visits (Label Studio: 261K; Labelbox: 1.1M); Monthly growth (Label Studio: 9%; Labelbox: 19.3%); Favorites (Label Studio: 140; Labelbox: 92); Website (Label Studio: labelstud.io; Labelbox: labelbox.com). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Label Studio vs Labelbox monthly traffic comparison, Label Studio currently shows 261K visits and Labelbox shows 1.1M; Labelbox has about 4.2 times the visible traffic of Label Studio, an absolute difference of about 834K visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

If public market visibility is an important first-pass criterion, investigate Labelbox first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Product positioning, use cases, and roles

Label Studio and Labelbox currently overlap in shared tags: AI training, computer vision, data annotation, data labeling, llm, machine learning, and NLP. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Label Studio's unique categories/tags are Training Data, Data Labeling, Data Management, annotation tool, fine-tuning, open source, and RLHF; Labelbox's are Labeling, Machine Learning, Workflow Management, human-in-the-loop, model evaluation, multimodal AI, and reinforcement learning. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

Label Studio has no verified rating, 0 comments, 140 favorites, and 148 likes;Labelbox has no verified rating, 0 comments, 92 favorites, and 99 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate Label Studio first

Put Label Studio on the priority trial list when the task aligns with “Training Data” and especially Training Data, Data Labeling, Data Management, annotation tool, fine-tuning, and open source. This follows recorded positioning and does not imply unlisted capabilities are absent.

Label Studio also currently records: pricing is freemium, product type is website, 261K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate Labelbox first

Put Labelbox on the priority trial list when the task aligns with “Labeling” and especially Labeling, Machine Learning, Workflow Management, human-in-the-loop, model evaluation, and multimodal AI. This follows recorded positioning and does not imply unlisted capabilities are absent.

Labelbox also currently records: pricing is freemium, product type is website, 1.1M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Label Studio and Labelbox, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

Comparison FAQ

How should I choose between Label Studio and Labelbox?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.

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