AI · alternatives · 2026
24 alternatives to Labelbox
An easy way to create and manage training data
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. Labelbox launched in 2019; newer entries below may have overtaken it.
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Manage your computer vision data labeling
2024 · labelyourdata.com · its alternatives →
- 2

Open source data labelling platform for AI model tuning
2023 · labelstud.io · its alternatives →
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Lobe▲1,236Visual tool for building custom deep learning models
2018 · github.com · its alternatives →
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Label images and video for Computer Vision applications - Cartucho/OpenLabeling
2018 · github.com · its alternatives →
- 7
Artifacts by Databoxfree tier, from $64/mo▲409Ask your AI Analyst and get back a ready-to-share report
Jul 2026 · databox.com · its alternatives →
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Labelf AI▲137NLP Low code platform to train an AI with active learning
2021 · labelf.ai · its alternatives →
- 11

Pre-trained computer vision models and public datasets
2021 · universe.roboflow.com · its alternatives →
- 12

Scan, share, collaborate & provide feedback on your ideas
2016 · dropbox.com · its alternatives →
- 13
Datasaur▲90Manage your entire data labeling workflow with a single tool
2020 · datasaur.ai · its alternatives →
- 14

Marketing workbook with 100 actionable tasks
2022 · makerbox.club · its alternatives →
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2020 · juiceanalytics.com · its alternatives →
- 18
TikBox.io▲283Copyright assertion, licensing, & GenAI labeling 4 creators
2024 · tikbox.io · its alternatives →
- 19
LabelGPT▲48Supercharge vision model training with auto object detection
2023 · try.labellerr.com · its alternatives →
- 20

Simple link based API to draw box & cuboid labels on images
2021 · its alternatives →
- 21
artbox▲164A library of high quality AI visuals for your project
2024 · artbox.today · its alternatives →
- 22

Hi HN! I'm excited to share Autolabel, an open-source Python library to label and enrich text datasets with any Large Language Model (LLM) of your choice. We built Autolabel because access to clean, labeled data is a huge bottleneck for most ML/data science teams. The most capable LLMs are able to label data with high accuracy, and at a fraction of the cost and time compared to manual labeling. With Autolabel, you can leverage LLMs to label any text dataset with <5 lines of code. We’re eager for your feedback!
2023 · github.com · its alternatives →
- 23

- 24QB
2018 · blog.machinebox.io · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →