Roboflow + Replit

Start from the Roboflow Web Quickstart template on Replit to publish a web page that runs your model on a webcam feed in the browser.

Replit is a browser-based development and hosting platform. Our Roboflow Web Quickstart template on Replit builds a webcam inference page that runs in the browser with inferencejs, and works out of the box with a model trained on Microsoft COCO.

To use your own model, open the template, set your publishable key, model name and version in index.html, then run and publish the app. Replit hosts the page, and the model runs on the visitor's device.

How to connect Replit to Roboflow

4 steps
  1. Train or pick a model

    Train a model in Roboflow and note its model name and version.

  2. Open the Web Quickstart template

    Open Roboflow Web Quickstart on Replit and click Use Template to make your own copy.

  3. Add your model details

    In index.html, set your publishable key, model name and version number.

  4. Run and publish

    Click Run to test the webcam page, then publish it to get a public URL.

What teams build with Replit

  • Share a working demo of your model

    Publish a webcam page anyone can open to try your model without installing anything.

  • Prototype a web app without a local setup

    Edit and host the page entirely in the browser.

Questions

No. The page uses your workspace's publishable key, which is meant for the browser.

In the visitor's browser. Replit only hosts the page.

Why are companies choosing Roboflow?

The end-to-end platform for vision AI: create datasets, train models and deploy to production.

  • Flexible deployment modes

    Move from a scalable cloud API to edge hardware like NVIDIA Jetson without managing complex dependencies.

  • Integrated workflow builder

    Combine multiple AI models, custom business logic and third-party integrations into one production-ready pipeline in a low-code editor.

  • Model monitoring and alerts

    Dashboards track confidence, inference time and request volume for your deployed models, and email alerts tell your team when confidence suddenly drops.

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