Build with Sighthound computer vision APIs

Start with hosted APIs, self-hosted Docker deployments, or SIO pipelines for vehicle analytics, redaction, and real-time video processing.

Start with Vehicle Analytics Explore Redactor API View SIO examples

Choose the fastest path for your project

Pick the deployment path that matches what you are trying to build today.

Hosted preview

Try an API without local setup

Evaluate Vehicle Analytics in the browser before installing anything.

Open hosted preview

Self-hosted Docker

Run locally or in your environment

Start the REST gateway, analytics service, and demo UI with Docker Compose.

Run Docker quickstart

Real-time video

Process video and RTSP streams

Use SIO examples for live video analytics, RTSP streams, and reusable pipelines.

View SIO examples

Agent handoff

Set up Redactor with an AI agent

Let an AI agent follow the verified Redactor setup path with toolkit context and API docs.

Open Agent Toolkit

Find the right API or platform surface

Vehicle Analytics

Detect plates, vehicles, make, model, color, and region data from images.

Explore Vehicle Analytics

Redactor

Redact heads, license plates, screens, audio, and sensitive content across media workflows.

Explore Redactor

SIO

Build real-time analytics pipelines for video, RTSP streams, and reusable vision blocks.

Explore SIO

Common developer tasks

Quick links for setup, examples, and references.

Run Vehicle Analytics with Docker Quickstart Try the hosted Vehicle Analytics preview Preview Process an RTSP stream with SIO Example Start with Redactor API basics API basics Embed the Redactor UI Guide Set up Redactor with the Agent Toolkit Agent toolkit

Send an image to the REST API

Spin up the local Docker quickstart, point the API at an image, and see structured vehicle analytics results come back from the REST gateway.

1. 1 Start the Docker quickstart
2. 2 Send an image annotation request
3. 3 Inspect the JSON response

REST API POST /v11/images:annotate

curl -X POST http://localhost:8383/v11/images:annotate \
  -H "Content-Type: application/json" \
  --data @request.json

Open Vehicle Analytics quickstart See Redactor API basics