Label Studio vs. People For AI Comparison


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About The most flexible data annotation tool. Quickly installable. Build custom UIs or use pre-built labeling templates. Configurable layouts and templates adapt to your dataset and workflow. Detect objects on images, boxes, polygons, circular, and key points supported. Partition the image into multiple segments. Use ML models to pre-label and optimize the process. Webhooks, Python SDK, and API allow you to authenticate, create projects, import tasks, manage model predictions, and more. Save time by using predictions to assist your labeling process with ML backend integration. Connect to cloud object storage and label data there directly with S3 and GCP. Prepare and manage your dataset in our Data Manager using advanced filters. Support multiple projects, use cases, and data types in one platform. Start typing in the config, and you can quickly preview the labeling interface. At the bottom of the page, you have live serialization updates of what Label Studio expects as an input.	About People For AI is labeling your data. Using our service, you will obtain high-quality training data for your computer vision, NLP or speech recognition algorithms. We use AI-powered data labeling tools that are adapted to your task. With the right tool, the right team and our methodology, you data is in good hands. As we only hired long-term labelers, we specialized in high-value data annotation, however we can manage any kind of projects. Check our CSR report on our website to know more about our labelers!
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Developers searching for a solution to label every data type and build custom UIs for computer vision processes	Audience AI Team Lead, CTOs, Data scientists, Computer vision Engineers, AI-first companies
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos No images available
Pricing No information available. Free Version Supported Free Trial Supported	Pricing Free trials are available, POC project (under 1000€) are availables. Production project begin from 200 hours of labeling. Free Version Not Supported Free Trial Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 5.0 / 5 ease 4.7 / 5 features 4.6 / 5 design 4.6 / 5 support 4.9 / 5 Read all reviews
	Pros & Cons from Real Users Pros - open to the understanding of the client's needs - provided high-quality service - delivery time was always within the expectation - open to further discussions and refinements It is a real pleasure to work with PFAI: - They are always nice and swift in their responses. - It is super easy and quick to set up a new annotation project with them. - They deliver high quality. The contact was really good. Quick, and arranged video calls with sole purpose to understand my needs precisely. Labeling project went swiftly and I had no doubts about the quality of data I received. I felt like they really cared to deliver best to my needs and no detail was omitted. I have worked with People For AI on a complex computer vision project that required significant learning on unusual data with precise labeling. They quickly set up a labeling tool that was well-suited to our use case, which helped us efficiently incorporate the annotation tasks into our training pipeline. The labeling team asked many questions, showed a keen attention to detail, and considered edge cases thoroughly. They achieved impressive results after only a few days of training. It was also beneficial to have direct communication with the project manager in charge of production, allowing for immediate feedback and daily updates on progress. For the second labeling task, which occurred 18 months later, I was pleased to discover that the same team was once again involved in the project. We really liked the ethics of the company, as well as their long-term approach to work and their people. They were fast to respond to our queries, and were able to get work done rapidly to meet the demand of our own customers. The people doing the labelling work were quick to respond to new feedback to improve the labelling being done. They were flexible to adapt to using our custom-designed tools. They provided us with detailed information about the labelling work being done. Cons I cannot se any cons in working with People For AI. I cannot think of any cons in working with PFAI and have nothing to complain about. Maybe teams english was difficult to understand sometimes, but I don't think that matters. There is nothing that comes to my mind regarding the cons of using the data annotation services provided by People for AI. Some sort of integrated web-based platform to see work in progress would be nice, but this did not prevent People for AI from sharing information with us by other means (e.g. shared spreadsheets).
Training Documentation Supported Webinars Supported Live Online Supported In Person Not Supported	Training Documentation Not Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Label Studio United States labelstud.io	Company Information People For AI Founded: 2020 France peopleforai.com
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Categories AI Fine-Tuning Supported Data Annotation Supported Data Labeling Supported Image Annotation Supported LLM Evaluation Supported RLHF Supported Video Annotation Supported	Categories Data Annotation Supported Data Labeling Supported
	Data Labeling Features Human-in-the-loop Supported Labeling Automation Supported Labeling Quality Supported Performance Tracking Supported Polygon, Rectangle, Line, Point Supported SDK Not Supported Supports Audio Files Not Supported Task Management Not Supported Team Collaboration Supported Training Data Management Not Supported
Integrations Amazon S3 Supported ApertureDB Supported Azure Blob Storage Supported Flair Supported Galileo AI Supported Hugging Face Supported Kili Technology Not Supported Kubernetes Supported Lightly Supported Lightly Supported Modzy Supported Openlayer Supported Pachyderm Supported Redis Supported SQLite Supported SuperAnnotate Not Supported TensorFlow Supported Terraform Supported V7 Darwin Not Supported scikit-image Supported Show More Integrations View All 25 Integrations	Integrations Amazon S3 Not Supported ApertureDB Not Supported Azure Blob Storage Not Supported Flair Not Supported Galileo AI Not Supported Hugging Face Not Supported Kili Technology Supported Kubernetes Not Supported Lightly Not Supported Lightly Not Supported Modzy Not Supported Openlayer Not Supported Pachyderm Not Supported Redis Not Supported SQLite Not Supported SuperAnnotate Supported TensorFlow Not Supported Terraform Not Supported V7 Darwin Supported scikit-image Not Supported Show More Integrations View All 4 Integrations
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