Roboflow

What it does

Roboflow is a vision AI platform that takes in images, videos, and live streams and turns them into structured detections, tracking data, and queryable events. Teams upload and label datasets, train models, and run them through hosted APIs, self-hosted inference, or multi-stage Workflows that combine models with logic and integrations.

People use it to move a vision use case from data collection through deployment and monitoring. Its distinct parts are Workflows for chaining models and actions, Vision Events that turn detections into queryable records, and an MCP server with installable skills so coding agents such as Claude Code, Cursor, Codex, and Gemini CLI can build deployable vision applications.

Roboflow suits developers and technical teams building vision applications, from prototypes to deployed systems. The free workspace includes ten monthly credits; Core adds ten more for twenty total at its entry price. Hosted processing consumes credits, while running inference on your own hardware does not consume cloud credits. Hardware and model licenses still matter, and some self-hosted commercial models need additional licensing. Enterprise deployment and governance requirements should be checked before rollout.

What it can do

• Train custom object detection and vision models on uploaded datasets
• Label images with AI-assisted tools such as Label Assist, Smart Polygon, and Auto Label
• Deploy models through hosted serverless APIs, dedicated deployments, or self-hosted inference
• Build multi-stage Workflows that combine models, logic, and integrations
• Turn detections into queryable Vision Events with a 14-day lookback on Core
• Run models on live video streams with object tracking and line counting

Works with

• Claude Code
• Cursor
• Codex
• Gemini CLI
• ChatGPT
• Claude

Example workflows

Detect and count objects on a production line

Illustrative example. Input: live camera stream. Steps: run an object detection model, track objects with ByteTrack, count across a line, and send an email alert when motion stops. Output: line counts and stoppage alerts recorded as Vision Events.

Label a dataset and train a model

Illustrative example. Input: a folder of unlabeled images. Steps: upload to a dataset, use AI labeling tools to draft annotations, review labels, and start hosted training. Output: a trained model that can be deployed through a hosted API or downloaded for self-hosting where permitted.

Before you choose

• Cloud processing and hosted deployment use operation-specific credit meters.
• Local inference requires your hardware; some models need additional commercial licenses.
• Academic public-data programs have separate eligibility from the general free workspace.

Listed under

• Coding
• Computer vision
• Data annotation
• Developer tools
• Edge deployment
• Manufacturing
• Model training

Get started

The Free Tier requires no credit card.

1. Create a free workspace at app.roboflow.com and get an API key from the docs.
2. Upload images to a dataset, label them with AI-assisted tools, and start training a model.
3. Deploy the model through the hosted Serverless API, or install Roboflow Inference with Docker on your own hardware.

Free includes 10 monthly credits. Core starts at $39/month and adds 10 credits, for 20 total at the entry tier. Cloud usage consumes credits according to operation and model. Monthly credits reset; prepaid credits expire after one year. Local inference uses your hardware and no cloud credits, but model-specific commercial licenses can still apply.

Source: roboflow.com/pricing, checked 29 Oct 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Roboflow: AI for the physical world ↗roboflow.com
• Roboflow Pricing: Free, Core & Enterprise Plans ↗roboflow.com
• Roboflow Documentation | Roboflow Docs ↗docs.roboflow.com

Company website

roboflow.com: product, pricing and policy pages

Hacker News

Launch posts and discussion

YC directory mirror

Batch and company name

Social accounts

Accounts the company links, and its posts on X

Human review

Checked by a person

knowledge_base

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.