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ogimg/ogimg is an open-source Next.js project for creating branded Open Graph images, but its editor is not implemented yet. You can clone and run the project’s landing page locally, inspect or adapt its source, and deploy the Next.js app; you cannot use the documented project today to enter a title, customize a template, and export an OG image. The distinction matters: the README describes that design flow as the intended workflow, while explicitly saying the /editor route is still in progress.

What is the OG Image Generator on GitHub?

ogimg/ogimg is source code for a web-based Open Graph image generator, described by its README as “The OG image generator for everyone. shipped fast.” Its goal is to help people make link-preview images consistent with a brand by choosing a template, adding a title or branding, adjusting colors and fonts, and exporting a PNG.

It is not a packaged desktop application, a ready-to-call image API, or a physical product. The repository contains a Next.js web app. Its present, documented state is a landing page with dark mode; the editor route is linked in the interface but not implemented. Accordingly, treat the design and export steps as a planned product flow, not features you can currently complete in the repository.

The README identifies the stack as Next.js 16 App Router, React 19, TypeScript, Tailwind CSS v4, Radix UI, shadcn/ui, next-themes, motion, and Biome. Framework and dependency versions can change as the repository is updated, so check the current README and package files before setting up a long-lived environment.

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What can you do with it right now?

Run and inspect the landing page

You can install the project dependencies and start its local Next.js development server. That lets you view the landing page and inspect the code. It does not unlock an unfinished editor route or generate a branded image by itself.

Adapt the open-source source code

You can fork or modify the code under the project’s Apache License 2.0. Read the license in the repository and follow its terms when reusing or distributing the project. The license does not change the implementation status: image editing and export are not documented as working features today.

Deploy the app shell

The project README names Vercel as a deployment target and says the standard Next.js app deploys cleanly there. A deployment can make the app available as a website, but hosting the current repository does not make the unimplemented editor functional. Do not promise an image-generation service to users until you have built and verified that capability yourself.

How to install ogimg/ogimg locally

Use Node.js 18 or newer; the project recommends Node.js 20 or newer. Have one supported package manager installed: pnpm, npm, yarn, or bun. The commands below use pnpm or npm, the two package managers named in the README.

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  1. Clone the repository and change into its directory:

    git clone https://github.com/ogimg/ogimg.git
    cd ogimg
  2. Install dependencies with your chosen package manager:

    pnpm install

    Or, if using npm:

    npm install
  3. Start the development server with the same package manager:

    pnpm dev

    Or:

    npm run dev
  4. Open http://localhost:3000 in a browser. You should see the locally served landing page. Seeing a link to /editor does not mean the editor is ready.

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Keep the package manager consistent across install and run commands. If dependencies fail to install, first check the installed Node.js version against the 18+ minimum, then inspect the repository’s current package files and README for any updated setup requirements.

Can you generate a branded Open Graph image from GitHub?

Not with the documented editor flow in the repository’s current state. The README’s intended process is to choose a template, enter a title or branding, adjust colors and fonts, and export a PNG; it also states that the editor route is not implemented yet. There is therefore no documented sequence of working editor controls, no confirmed generated-image output, and no basis for treating the project as a ready-made image-generation API.

If your goal is to publish an OG image today, you need a working image-design or rendering tool, or you need to implement the editor and image-export path yourself. A landing-page deployment alone will not satisfy that requirement. If you are evaluating a contribution, the editor and its rendering/export behavior are the key capabilities to build and test rather than assuming they already exist.

How to build and start a production deployment

The README gives standard Next.js production commands. After installing dependencies, build the app and run the production server locally to check the deployable landing page:

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pnpm build
pnpm start

For npm, use:

npm run build
npm run start

The README identifies Vercel as the deployment target, but does not document a project-specific deployment wizard, environment-variable setup, or a separate image-generation backend. For a deployment, connect or import the repository through your Vercel workflow and verify the resulting build. Confirm what pages and functions actually work before presenting the deployment as an OG image generator; the current documented editor limitation still applies.

How ogimg/ogimg compares with other GitHub OG-image projects

These projects address related needs, but they are not interchangeable. The most useful distinction is whether you need a working editor or generation path now, or source code to customize.

Project What the cited project materials describe Practical distinction
ogimg/ogimg Next.js landing page; editor route linked but not implemented; Apache License 2.0. Useful as an open-source app foundation to inspect or extend, not a ready image editor today.
SavvyCal’s og-image Open-source web service with extensible Tailwind CSS templates, emoji support, caching, and Fly deployment. Its README documents Elixir, Google Chrome, and Node.js 22.x or later, and describes Puppeteer-driven headless-browser screenshots of HTML/CSS templates. Its documented rendering approach and service features differ from ogimg/ogimg’s currently unfinished editor.
OGCOPS The OGCOPS repository’s 2026 snapshot describes a free MIT-licensed generator with 109 templates, 8 platform previews, a URL API returning 1200×630 PNGs, client-side Satori rendering, URL-encoded editor state, and self-hosting on Node.js platforms. Its documented editor, API, and template count are materially different from what ogimg/ogimg currently documents.

For GitHub-based publishing automation rather than a general-purpose editor, a separate GitHub Marketplace listing documents version 3.0.0 (2026 snapshot) for a third-party “Generate OG Image” Action. It runs on pull requests, reads Markdown front matter, and supports settings such as title, subtitle, image URL, background, font color, font size, output path, and ignore patterns. The listing says the action is not certified by GitHub and is governed by separate terms. Check its current listing and terms before adopting it; those details are specific to that third-party action, not ogimg/ogimg.

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When a website screenshot is the task instead

ScreenshotNeo is an alternative to try first when what you need is a screenshot of a live website—not a designed or branded OG image. It is a website screenshot API and MCP server, so it does not supply the unfinished ogimg/ogimg editor or turn a URL into a custom title-and-brand graphic. Its clean-shot process accepts consent banners and removes more than 60 known consent platforms, newsletter popups, and chat widgets before capture; bot checks, blank pages, timeouts, failed loads, and cache hits are not billed, with response headers indicating the page verdict and billing status. AI agents can use its MCP server tools for screenshots, page information, and PDFs.

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Or skip the browser setup

For a website screenshot, one GET request can return an image or PDF. This cURL example saves a WebP screenshot of Stripe; replace the target URL with the page you need and provide your API key:

curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://stripe.com -o shot.webp

See the ScreenshotNeo API documentation for request options. Cookie banners, popups, and chat widgets are removed before the shot; bot checks, blank pages, and failed loads are never billed. An MCP server lets AI agents take screenshots. The free plan includes 1,000 screenshots a month with no card, and paid plans start at $5 for 3,000. Sign up free for ScreenshotNeo.

Troubleshooting local setup

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