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Roboflow

roboflow.com

From $39/mo Free plan WebmacOSLinuxiOSAndroidAPI
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Spec score 8.9 #1 of 33 in AI Image Segmentation Software

What it is

Roboflow provides tools for building, deploying, and monitoring computer vision applications, from dataset preparation through model inference. Its dataset features include image annotation, video frame extraction, preprocessing, and augmentation; annotation types include boxes, polygons, segmentation masks, classification labels, and keypoints. Exports include JSON, XML, CSV, TXT, and more than 30 additional formats. A hosted inference API runs models on autoscaling infrastructure with load balancing and burst support. Deployment options include roboflow.js, NVIDIA Jetson, Luxonis OAK, iOS, self-hosting, VPC, and on-premise environments. The Free Tier costs nothing and includes 10 credits monthly, stated as enough for about 30 model trainings or 80,000 inferences. Core costs $39 a month, billed monthly, with 20 credits and a private workspace and models. The pricing comparison lists one model training at a time by default and 20 projects for Core. Roboflow states it encrypts data in transit and at rest and is SOC 2 Type 2 compliant; enterprise pricing is custom.

Spec sheet

What it does
Roboflow is a computer vision platform for collecting and labeling image or video data, training models, building vision applications, and deploying inference to cloud or edge devices.Read 21 Oct 2026 · roboflow.com
Audience
Roboflow describes its platform as designed for developers and enterprises building computer vision applications.Read 1 Oct 2026 · roboflow.com
Integrations
Roboflow lists 38 integrations, including AWS S3, CVAT, Labelbox, Amazon SageMaker, Google Colab, Kubernetes, Jetson, Raspberry Pi, iOS, and Zapier.Read 21 Oct 2026 · roboflow.com
Security
Roboflow’s Trust Center states that it uses AES-256 encryption and provides access to security materials including SOC 2 and HIPAA information.Read 21 Oct 2026 · security.roboflow.com
Support
Roboflow provides a knowledge base, developer documentation, forums, YouTube tutorials, and enterprise priority support by email and in-app chat.Read 1 Oct 2026 · roboflow.com
Founded
2020Read 23 Sep 2026 · roboflow.com
Active learning
Workflows can save inference images and predictions into datasets to support later model training and improvement.Read 21 Oct 2026 · roboflow.com
API and SDKs
The product offers a REST API and Python SDK, and documentation shows that the inference client can target either Roboflow Cloud or a self-hosted server.Read 21 Oct 2026 · docs.roboflow.com
Cloud cost limit
Cloud inference, dedicated deployments, and certain cloud-based Workflow steps consume credits; local inference with Roboflow Inference is free on all plans.Read 21 Oct 2026 · roboflow.com
Cloud inference
Roboflow provides a GPU-backed autoscaling cloud API for running model inference and Workflows.Read 21 Oct 2026 · docs.roboflow.com
Company founding
Roboflow’s About page says its founders launched the company in 2020 after working on a real-time Sudoku-solving augmented reality game in 2019.Read 21 Oct 2026 · roboflow.com
Company funding
Fortune reported that Roboflow raised a $40 million Series B led by GV on November 19, 2024.Read 21 Oct 2026 · fortune.com
Company headquarters
Roboflow’s terms list a Des Moines, Iowa address at 500 Locust Street.Read 21 Oct 2026 · roboflow.com
Company history
Roboflow says Brad Dwyer and Joseph Nelson launched the company in 2020 after working on a computer vision project in 2019.Read 1 Oct 2026 · roboflow.com
Company legal name
Roboflow’s terms identify the company as Roboflow, Inc.Read 21 Oct 2026 · roboflow.com
Dataset management
Dataset tools support image annotation, versioning, preprocessing, augmentation, and format conversion for common label formats.Read 21 Oct 2026 · roboflow.com
Developer documentation
The documentation covers datasets, models, deployments, Workflows, agents, and developer references, with installation, compatibility, Docker, model, API, and troubleshooting material for Inference Models.Read 21 Oct 2026 · inference-models.roboflow.com
Edge deployment
Roboflow Inference can run on devices including NVIDIA Jetson, Raspberry Pi, and GPU servers; the pricing page says self-hosted inference is included.Read 21 Oct 2026 · roboflow.com
Enterprise data controls
Enterprise plans include a data sovereignty guarantee for the US or EU and enterprise support through email, tickets, and chat.Read 1 Oct 2026 · pricing-page-sept-26.vercel.app
Enterprise security controls
Enterprise features include SSO, role-based access control, scoped API keys, custom roles, folder permissions, and audit logs.Read 21 Oct 2026 · roboflow.com
Feature availability limit
The plan comparison reserves capabilities such as SSO, RBAC, workflow version history, and model monitoring for Enterprise or add-ons.Read 21 Oct 2026 · roboflow.com
Hosted inference
Its hosted inference API runs models on autoscaling infrastructure with load balancing and burst support.Read 1 Oct 2026 · roboflow.com
Hosted service licensing
Roboflow’s hosted platform is sold through subscription plans, and model licensing varies by model and deployment method.Read 21 Oct 2026 · roboflow.com
Inference API limit
The Serverless Cloud API accepts uploads up to 20 MB, and the documentation recommends resizing larger images before sending them.Read 21 Oct 2026 · docs.roboflow.com
Jetson compatibility
JetPack 6.1 Docker support is marked stable for Orin devices, while bare-metal support is experimental; JetPack 5.1 requires a custom Docker build.Read 21 Oct 2026 · inference-models.roboflow.com
Limit: billing and cancellation complaints
Trustpilot reviewers report unexpected charges, confusing credit usage, difficulty cancelling, and problems getting billing support; the page cautions that reviews may not be representative because the company has not invited customers to review.Read 21 Oct 2026 · uk.trustpilot.com
Limit: cost and feature access
G2 review summaries identify expense, lack of features, and limited functionality as recurring concerns, including advanced features being restricted on lower tiers.Read 21 Oct 2026 · g2.com
Model licensing limit
The licensing page says some models, including YOLOv8 and YOLOv11, use AGPL-3.0 and may require a separate commercial license depending on use.Read 21 Oct 2026 · roboflow.com
Model training
The platform offers hosted model training across multiple supported model architectures, with model evaluation and neural architecture search listed in its plan comparison.Read 21 Oct 2026 · roboflow.com
Model weights
Model weights are downloadable on every plan through Roboflow Inference or MCP for select models, while Enterprise can also download them directly in the app.Read 1 Oct 2026 · pricing-page-sept-26.vercel.app
Model-assisted labeling
Label Assist and other AI labeling tools use model predictions to help generate annotations, and the pricing page notes AI labeling uses credits.Read 21 Oct 2026 · roboflow.com
Notable news: pricing change
On September 18, 2026, Roboflow announced per-image Serverless API pricing, free self-hosted Inference, and a Core plan starting at $0 with 10 included credits.Read 21 Oct 2026 · roboflow.com
Open-source scope
Roboflow Inference is an open-source deployment product; its public GitHub repository identifies the license as Apache-2.0.Read 21 Oct 2026 · github.com
Praise: ease of use and annotation
G2 reviewers commonly praise the intuitive interface, annotation efficiency, and the ability to manage datasets and training in one platform.Read 21 Oct 2026 · g2.com
Privacy setting
The current pricing FAQ says Free Tier and other Core projects remain private unless users publish them to Roboflow Universe, while data-use settings can be changed in workspace settings.Read 21 Oct 2026 · roboflow.com
Project limit
The pricing comparison lists 20 projects for Core and custom project limits for Enterprise.Read 1 Oct 2026 · pricing-page-sept-26.vercel.app
Rating on G2
4.7 out of 5 from 160 reviewsRead 21 Oct 2026 · g2.com
Rating on GetApp
0 out of 5 from 0 reviewsRead 21 Oct 2026 · getapp.com
Rating on Software Advice
No rating shown from 0 reviewsRead 21 Oct 2026 · softwareadvice.com
Rating on Trustpilot
2.6 out of 5 from 8 reviewsRead 21 Oct 2026 · uk.trustpilot.com
Rating on TrustRadius
No rating shown from 0 reviewsRead 21 Oct 2026 · trustradius.com
Support resources
Roboflow documentation points users to a community forum, support contact, and weekly live sessions; Enterprise pricing includes email, ticket, and chat support.Read 21 Oct 2026 · docs.roboflow.com
Supported platforms
The Inference Models documentation lists stable CPU support on Linux and macOS and stable NVIDIA GPU support on Ubuntu 22.04 and 24.04.Read 21 Oct 2026 · inference-models.roboflow.com
System requirements
The Inference Models package requires Python 3.10–3.12; GPU use requires a CUDA-compatible GPU and appropriate drivers.Read 21 Oct 2026 · inference-models.roboflow.com
Training limit
The pricing comparison states that users can train one model at a time by default.Read 1 Oct 2026 · pricing-page-sept-26.vercel.app
Trust center
The security portal lists AES 256-bit encryption, SOC 2 and HIPAA compliance, audit logging, multifactor authentication, backups, and data erasure controls.Read 1 Oct 2026 · security.roboflow.com
Usage limits
Unused included credits reset each billing period, while purchased prepaid credits expire one year after purchase.Read 21 Oct 2026 · roboflow.com
Workflow deployment
Workflows can run in Roboflow Cloud or be self-hosted on hardware and edge devices.Read 21 Oct 2026 · docs.roboflow.com
Workflows
Workflows is a visual, block-based builder for connecting models, vision operations, and conditional logic into computer vision applications.Read 21 Oct 2026 · roboflow.com

Plans and prices

Free Tier Free 10 credits included a month 10 credits/month · 20 projects · private workspace and models · self-hosted inference included Read 21 Oct 2026 · roboflow.com
Free Tier Free 10 credits included a month · enough to train ~30 models or run 80,000 inferences Read 1 Oct 2026 · pricing-page-sept-26.vercel.app
Core $39 a month billed monthly 20 total credits · private workspace and models · enough to train ~60 models or run 160,000 inferences Read 1 Oct 2026 · pricing-page-sept-26.vercel.app
Core $39 a month billed monthly Starts with 10 free credits/month; $39/month adds 10 credits (20 total) · 20 projects · unlimited admin team members Read 21 Oct 2026 · roboflow.com
Enterprise Priced on request Custom pricing; contact sales Core features plus priority GPU access · volume pricing · uptime SLA · US or EU data sovereignty · enterprise support Read 21 Oct 2026 · roboflow.com
Enterprise Priced on request Custom Pricing priority GPUs · volume pricing · uptime SLA · data sovereignty in US or EU · enterprise support Read 1 Oct 2026 · pricing-page-sept-26.vercel.app

Every Roboflow plan and price →

Strong points and limits

Strong points

  • Includes annotation, preprocessing, and augmentation tools
  • Exports datasets in 30+ additional formats
  • Hosted inference includes load balancing and burst support
  • Offers iOS, edge, VPC, and on-premise deployment
  • Free Tier includes 10 monthly credits

Limits

  • Default training limit is one model at a time
  • Core lists a 20-project limit
  • Enterprise pricing is custom

Who it suits

Roboflow is aimed at developers and enterprises building computer vision applications. Its range of deployment options may suit teams targeting web, edge, mobile, hosted, or on-premise environments.

Roboflow in depth

Read the full write-up

Overview

Roboflow is a computer-vision platform that connects dataset preparation with model training, inference and deployment. It is best suited to developers and enterprises building their own vision applications; its breadth is a strength, but credit quotas and deployment requirements deserve attention before a team commits.

Putting annotation and deployment options in one workflow can suit projects that need more than a labeling tool. Teams that need concurrent model training should weigh the default one-model-at-a-time limit, while organizations with specific hosting or data-residency needs should check that the available deployment and Enterprise options fit.

Key features

Annotation and dataset preparation

Roboflow supports bounding boxes, polygons, segmentation masks, classification labels and keypoints, as well as model-assisted labeling and team collaboration. It accepts JPG, PNG, WEBP, AVIF and BMP images. Video frame extraction, preprocessing and augmentation cover several steps between collecting data and preparing it for training.

Exports include JSON, XML, CSV, TXT and more than 30 additional formats. That breadth helps teams move datasets into varied workflows; the trade-off is that Roboflow is a broader application platform, not just a focused annotation interface. API access is also available for teams integrating it with their own processes.

Inference and deployment

The hosted inference API uses autoscaling infrastructure with load balancing and burst support, making it relevant when inference demand can fluctuate. Deployment options include roboflow.js for web, NVIDIA Jetson, Luxonis OAK, iOS, self-hosting, VPC and on-premise. This range serves projects with different runtime and hosting needs, though teams should choose based on their actual deployment target rather than assume every option suits every application.

Integrations include AWS S3, Google Cloud, Azure, Zapier, Kubernetes, NVIDIA Jetson, iOS, Android, Amazon SageMaker and Google Colab. Model weights can be downloaded on every plan through Roboflow Inference or MCP for select models; Enterprise also offers direct downloads in the app.

Security and support

Roboflow states that it is SOC 2 Type 2 compliant, encrypts data in transit and at rest, and offers HIPAA-compliant infrastructure with BAAs. Its security controls include AES 256-bit encryption, audit logging, multifactor authentication, backups and data-erasure controls. Enterprise adds a US or EU data-sovereignty guarantee and priority support through email, tickets and chat.

All customers can draw on a knowledge base, developer documentation, forums and YouTube tutorials. Enterprise priority support is the stronger fit for organizations that need a dedicated support channel; the general resources are more appropriate for teams able to work through documentation and community help.

Pricing

Roboflow uses a freemium model, with a free tier, paid options and a 14-day trial. The plan comparison gives the Free Tier 10 credits per month at free, enough for about 30 model trainings or 80,000 inferences. That makes it a useful way to explore the workflow, but the monthly credit allowance sets a clear ceiling for sustained use.

Core costs $39 a month, billed monthly, and includes 20 total credits, a private workspace and private models. The stated allowance is enough for about 60 model trainings or 160,000 inferences. It fits a small project that needs private workspaces and more monthly capacity than the free tier, but the credit total still requires teams to balance training against inference use. Core also has a 20-project limit.

The pricing note gives a separate paid-from figure of 79/mo (annual). The plan comparison presents Core at $39 a month, billed monthly; readers should distinguish those terms when comparing budgets. Enterprise has custom pricing, priority GPUs, volume pricing, an uptime SLA, US or EU data sovereignty and enterprise support. It is the relevant option for organizations that need those commitments rather than a fixed, lower-cost plan.

Training is limited to one model at a time by default. Enterprise has custom project limits, while the plan comparison gives Core a 20-project cap. These constraints matter for teams running parallel experiments or maintaining many separate projects. No seat quota is stated for the plans, so team collaboration alone should not be taken as evidence of a particular number of included users.

Platforms

Roboflow supports Android, iOS, API, self-hosted and web use. That combination spans mobile, browser, programmatic and self-managed deployment contexts, making it more flexible than a web-only dataset workflow for teams whose application needs those targets.

Who it's for

Roboflow is a strong fit for developers and enterprises building computer-vision applications that need dataset preparation, inference and deployment in one platform. It is particularly relevant when teams need varied annotation types, broad export formats, hosted inference or options such as edge, self-hosted and on-premise deployment.

It is less compelling for teams that need only a lightweight labeling utility, or whose work depends on training multiple models simultaneously. Its credit-based tiers also call for a close look at expected training and inference volume; organizations with sovereignty, uptime or priority-support requirements should evaluate Enterprise.

Pros and cons

Broad dataset workflow: Annotation, video frame extraction, preprocessing, augmentation and exports in more than 30 additional formats cover several common preparation needs.

Flexible inference and deployment: Autoscaling hosted inference and options spanning web, mobile, edge, self-hosted, VPC and on-premise suit varied application architectures.

Security provisions for regulated work: SOC 2 Type 2, HIPAA-compliant infrastructure with BAAs, encryption and enterprise data sovereignty address concerns that a basic labeling tool may not cover.

Monthly credit ceilings: The free tier's 10 credits and Core's 20 total credits mean teams must budget training and inference within a shared allowance.

Default training constraint: One model at a time can slow teams that need concurrent training; Enterprise project limits are custom rather than a standard published quota.

Enterprise terms require a custom budget: Custom pricing and an annual paid-from figure alongside monthly Core pricing make it important to compare the exact plan and billing term before forecasting costs.

Alternatives

Label Studio is worth considering when a team wants a freemium labeling option that spans API, self-hosted and desktop platforms, rather than Roboflow's combined dataset, inference and deployment workflow.

MakeSense.ai is a free, browser-based photo-labeling tool, a simpler alternative for readers seeking free photo labeling rather than a broader computer-vision platform.

Segments.ai offers a free academic license for non-commercial research, with a license request required; it is a candidate for students and researchers whose use qualifies.

Supervisely has a Community plan with 5 GB storage, 10,000 files, two members, and unlimited projects and annotations. Its Pro plan starts at €199 a month, so it may suit teams comparing a defined free storage allowance with a higher-priced paid tier.

VGG Image Annotator is free under a two-clause BSD license, with no paid tiers or usage limits stated; it is an alternative for readers seeking a free annotation tool rather than a managed end-to-end platform.

CVAT offers a free MIT-licensed Community plan for personal use and small teams, as well as a free online tier limited to one member, one project, three tasks and 1 GB. It may be a better fit when those narrow free-use terms meet the project need.

Labelme is a desktop option for Windows, macOS and Linux with SAM2 and SAM3 annotation, priced at $49, paid once and including one year of updates. It suits buyers who want those desktop annotation capabilities and do not need a dataset toolkit.

Pixano is another free option for teams comparing annotation platforms.

For category browsing, see Image Annotation Software, AI Data Labeling Tools, AI Image Recognition Software, AI Image Annotation Tools, AI Video Analytics Software and Data Labeling Software.

Verdict

Choose Roboflow if you are building a computer-vision application and want dataset preparation, hosted inference and a wide set of deployment paths under one platform. Its strongest case is workflow breadth combined with security and enterprise controls; its main reasons to look elsewhere are credit limits, one-model-at-a-time training and the custom cost of Enterprise when those controls are needed.

Verdict

Roboflow covers dataset work, inference, and deployment, with a free tier and paid options. Review the training and project limits alongside the deployment and security needs of your application.

Where Specifiction places it

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