LabelGPT is an automated image annotation tool powered by a generative AI model. Its primary function is to generate labels on raw images, thereby aiding the annotation process.
Users can import their data from various sources, including local platforms or cloud sources like AWS, GCP, Azure, and through APIs. The zeroes shot label generation engine is backed by a foundation model that allows Machine Learning teams to generate vast volumes of labeled data.
The tool facilitates the annotation process by taking class or object names as a text prompt and detecting and segmenting the label. It also offers a swift review process.
Users can validate the quality of the labels by filtering the high confidence score, visually verify the results, and directly integrate it into their ML pipeline.
The annotations obtained from LabelGPT can be utilized to propel vision model training, reduce annotation costs, and increase the speed of the labeling process.
Help other people by letting them know if this AI was useful.
Add your own prompts and outputs to help others understand how to use this AI.
Screenshot gallery
Pros & Cons
Pros
+Automated image annotation
+Multiple foundation model utilization
+Generates voluminous labeled data
+Swift review process
+Quality validation through high confidence score
+Visual result verification
+Direct ML pipeline integration
+Reduces annotation costs
+Speeds up labeling process
+Imports from local and cloud (AWS, GCP, Azure)
+API for data import
+Zero-shot learning
+Text prompts for labeling
+Image segmentation capabilities
+Prompt-based class/object detection
+Uses multiple open-source datasets
+High-quality label generation
+Exports to ML training engine
+Multi-platform (cloud, local) data access
+Foundation model powered labeling
+No manual labeling required
+Fast label generation
+Saves time in labeling
+Visual label validation
+Allows dataset selection
+Prompt for class/object labeling
+Enables data upload
+Supports video annotation
+Supports text annotation
+Data curation functions
+Capture and collection features
+Pre-labeled dataset availability
+Smart feedback loop technology
+Flexible pricing options
+Offers use case based solutions
+Expert discussions and blogs
+Dedicated knowledge base
+Option to schedule demo
+Easy class/object labeling
+Validation by filtering high confidences scores
+Automates raw image labeling
Cons
−Limited labeling types
−No offline usage
−No manual labeling option
−No multi-language support
−Undefined user access control
−Inability to adjust confidence score
−No data curation function
−Unclear revision history
−No free trial mentioned
A Professional Framework to Evaluate LabelGPT
When considering LabelGPT for integration into your organizational workflow, we recommend deploying a structured score card across three critical operational pillars: Security & Compliance, Integration Friction, and long-term Price Scalability. Rather than looking only at basic feature lists, modern procurement teams must assess how a software platform behaves under high load and how well it fits into the team's data security guidelines.
1. Security and Database Compliance
Depending on your operating region and field, ensure that LabelGPT supports standard security layers such as SOC 2 Type II certifications, GDPR compliance, or HIPAA-compliant database encryption. If the tool connects directly to client database tables or handles user passwords, verify that they implement multi-factor authentication (MFA), single sign-on (SSO) integrations, and end-to-end data encryption in transit and at rest.
2. API Coverage and Custom Integrations
Siloed data is the primary cause of operational friction. Evaluate if LabelGPT has native connectors for your current project trackers, messaging hubs, and customer communication channels. For custom developer requirements, check if they provide a fully documented REST API with reasonable rate limits, comprehensive Webhooks support, and robust SDK packages in your language. A flexible API layer saves hundreds of hours of manual copy-paste overhead.
3. Total Cost of Ownership (TCO)
SaaS pricing packages are often deceptively simple. When reviewing LabelGPT's billing structure, map out your team's projected expansion over the next 12 to 24 months. Determine how costs scale as your customer database increases or as you add team members. Factor in setup costs, mandatory support plan upgrades, API access fees, and storage overage rates to understand the true cost before committing to a contract.
By combining verified user reviews from our directory with internal workflow pilot tests, your procurement team can make an informed decision that drives productivity without creating capital waste.
Features of LabelGPT
Image Annotation
Automated Labeling
Data Labeling
AI Model
Data Validation
Vision Model Training
SaaS1to10 verified reviews for LabelGPT
Overall rating
★★★★★5.0
Based on 18 reviews
★★★★★5.03 weeks ago
“Review”
Profoundly expensive. They are charging $79 per month on a yearly subscription. The free version has few ais available. If you opt for the monthly subscription you'll be morgaging your family at $99 per month. I don't know any teachers who could afford that even in the short term. There are far less expensive ai options out there which are just as good.
William Lowe
★★★★★5.03 weeks ago
“Review”
Useful to quickly explore the content of and interconnections between research papers. Makes it a more fun process.
Jon Hasworth
★★★★★5.03 weeks ago
“Review”
Use full workspaces multiple people can use this ai
Rajkumar Dyagala
★★★★★5.03 weeks ago
“Review”
Thanks for the feedback, and also for the tip for the community. One more tip: if you upload an image directly, you can add context that might be missing in the image. For example, the duration is 3 hours or prefix every event title with Name:
Caren Cioffi
★★★★★5.03 weeks ago
“Review”
For now the best browser based AI scraper i have ever used.
Jason Shirazi
★★★★★5.03 weeks ago
“Review”
Absolutely in love. I could create my own custom AI and shared it with my colleuges to get instant support from me, i mean digital AI of me :)
Derek W.
★★★★★5.03 weeks ago
“Review”
They nailed it. It’s better than 3.7 at coding.
Tealgreen
★★★★★5.03 weeks ago
“Review”
magnificent. perfect. no errors.
Mino F16
★★★★★5.03 weeks ago
“Review”
It's the maker of MindMateGPT here. Focus group results After vetting the survey for duplicate entries, we were left with 10 users that participated in the focus group The average user had used the app for 3 weeks, and the average frequency was daily 100% of the users felt the app helped them improve their mental health, and 90% of them felt the app gave them a better ability to handle emotional distress. The average perceived mental health score went from a 3.8 to a 8.4 on a 1-10 scale
Anthony Teixeira
★★★★★5.03 weeks ago
“Review”
You have the option to waitlist or you can login with your email/pass or google account. I chose google. Once inside you have a suite of tools but im sure when you go to publish you have to sign up for a paid plan. So if your looking for a free option it will be branded. Use at your own risk. Thanks
Col Cooper
★★★★★5.03 weeks ago
“Review”
Great idea, but does not find what you are looking for-about the same as Google Scholar
Andy
★★★★★5.03 weeks ago
“Review”
Think its a fab tool but why wont it allow you to save your workflows?
Azmat Yusaf
★★★★★5.03 weeks ago
“Review”
Code varies from run to run. Still it is a helpful app. You can specify coding languages that are not in the dropdown menu.
Oran Kangas
★★★★★5.03 weeks ago
“Review”
They're dreaming if they think I'd give them my credit card info just for a free trial. Most useless thing ever...
Noeffen Way
★★★★★5.03 weeks ago
“Review”
Alternative for fast academic writing
Ivan Taslim
★★★★★5.03 weeks ago
“Review”
Really amazing! Makes learning content and engaging with things so much easier!
Jamie McDonald
★★★★★5.03 weeks ago
“Review”
after playing around with it for a bit, i am now aware of how much i need this. i can already feel the hours of sleep coming back to me <3
Bru no no no
★★★★★5.03 weeks ago
“Review”
As the service was in beta-testing stage, I created there a dozen of AI-generated courses for free. I wanted to use them. Those courses remained in my account as they started subscription tiers. But recently I have found out that they were deleted. The support didn't answer to my e-mail at all.