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Image & Video AI

Samsar

Samsar is a generative video and media automation application with a Studio for creating and refining videos, an API for media workflows, and a Docker-based self-hosting path.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Samsar — OpenViST project profile in Image & Video AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Samsar when a workflow needs prompt- or image-led video generation alongside media editing and post-production, or when developers need a documented client/API path for those tasks.

Who it is for

  • Creators producing prompt-led videos or videos from product-image lists.
  • Teams building product-video workflows from structured content and images.
  • Developers integrating video, image, audio, or inference workflows through the documented client and API.
  • Operators configuring a self-hosted media-generation runtime with supported providers.

Documented uses

  • Create a video from a text prompt.
  • Turn a list of product images into an ad video with optional narration elements and a call to action.
  • Edit generated imagery, add audio, and refine rendered scenes in a Studio workflow.
  • Submit video-generation jobs through Samsar.js and track them by request ID.
  • Configure provider routing and enabled services for a standalone deployment.
Before you choose

Requirements & limits

The project documents a hosted browser Studio and hosted API client. Hosted API requests use Samsar credits. A separate Docker-based standalone deployment is documented; its setup uses provider credentials and selected services.

  • The hosted API path requires a Samsar API key; keep it in a server environment.
  • The documented standalone setup requires Git and Docker-based setup; provider credentials and enabled models depend on the chosen configuration.
  • Text-to-video Studio projects are documented for durations up to three minutes.
  • Image-list-to-video supports optional narrator avatar, outro, and call to action.
  • The repository identifies the application as JavaScript and MIT-licensed.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Launch the standalone setup wizard

Start the local setup wizard and use it to configure and start a standalone Samsar deployment.

Before you start

  • Git
  • Linux, macOS, or WSL, or Windows PowerShell or Command Prompt
  • Docker is used by the setup launcher; supported installation or startup behavior depends on platform

Steps

  1. From the repository root, launch ./setup.sh on Linux, macOS, or WSL; on Windows use \.\setup.ps1 in PowerShell or setup.cmd in Command Prompt.

  2. Open the one-time authenticated URL at http://localhost:8089 when the launcher provides it.

  3. Complete the browser flow to write deployment configuration, render runtime environment and model availability, build and start selected Docker Compose profiles, verify the processor API and Studio client, and prepare local login.

  4. Open the local Studio at http://localhost:3000 or the Processor API at http://localhost:3002.

Expected outcome

The setup wizard configures and starts the selected local services, with Studio and Processor API URLs provided for access.

Guide limitations

  • Node.js, npm, and Yarn are not host prerequisites for this standalone setup path.
  • The wizard binds to loopback by default; for remote hosts, use scripts/setup-wizard-remote.sh so access travels through an SSH tunnel.
  • The launcher may install or start Docker only where supported; Docker requirements and bootstrap behavior vary by platform.
Documentation 1 ↗Documentation 2 ↗
Evidence and transparency

Sources & review

Official repository ↗Guide documentation ↗
Source record details
Source availability
Active
Sources checked
13 October 2026
Original website title
samsarone/samsar · Official homepage title · retained in its source language
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