Sanity vs Roboflow: Choosing the Right Tool for Your CV Project

Both Sanity and Roboflow help you build computer vision datasets, but they solve different problems. Here's an honest breakdown to help you choose.

What does Roboflow do?

Roboflow is a comprehensive computer vision platform. It offers:

  • Dataset management and versioning
  • Annotation tools for labeling your own images
  • Data augmentation (flip, rotate, brightness, etc.)
  • Model training and deployment
  • Pre-built model zoo

It's a full MLOps platform for computer vision.

What does Sanity do?

Sanity is focused on one thing: generating synthetic, pre-labeled datasets. We don't do model training or deployment. Our value proposition is simple:

  • You describe what you want to detect
  • AI generates images and labels them automatically
  • You download a ready-to-train dataset

Think of it as a "vending machine for training data."

When to use Roboflow

Choose Roboflow if:

  • You already have images that need labeling
  • You want an end-to-end platform (data → model → deployment)
  • You need collaborative annotation with a team
  • You want to use their pre-trained models

When to use Sanity

Choose Sanity if:

  • You don't have images yet and need to generate them
  • Manual labeling is too expensive or time-consuming
  • You need rare/edge-case scenarios that don't exist in stock photos
  • You want pre-labeled data without the labeling step
  • You're comfortable training models yourself (PyTorch, Ultralytics, etc.)

Pricing comparison

Roboflow has a free tier with limited exports, then subscription plans starting around $249/month for teams.

Sanity uses simple pay-per-image pricing ($0.10/image) with no subscriptions. You pay for what you generate. Failed images and labels are automatically refunded.

Can you use both?

Absolutely. A common workflow is:

  1. Generate synthetic data with Sanity to bootstrap your model
  2. Import into Roboflow for augmentation and versioning
  3. Add real-world data in Roboflow to fine-tune
  4. Deploy with Roboflow Inference

The tools are complementary, not competitive.

Bottom line

If you need to label existing images, use Roboflow. If you need to generate new labeled images, use Sanity. Learn how to create a YOLO dataset with Sanity in minutes.

Generate Synthetic Data →