Manual organizational charts are a relic of a bygone era. You know the drill: someone in HR or an admin spends hours in PowerPoint, dragging boxes and connecting lines, only for the entire thing to become obsolete the moment a new employee starts or a role changes. The resulting PDF or JPEG gets emailed around, saved to a shared drive, and promptly forgotten—a static snapshot of a dynamic organization.
There’s a better way. By treating your org chart as code, you can automate its creation, ensure it's always accurate, and generate insightful visualizations on demand.
Welcome to the world of the API-driven corporate directory. Let's explore how you can go from structured data to a clean, clear visual representation of your team—from JSON to JPEG—and why you’ll never go back to the old way.
Traditional methods of creating org charts are fundamentally broken for modern, fast-moving companies. They suffer from several key flaws:
The paradigm shift is to stop thinking of your org chart as a document and start treating it as a living, queryable dataset. When your entire team structure is defined and accessible through a simple API, it becomes a powerful tool for automation and integration.
At its core, each person in your organization can be represented as a data object, typically in JSON format. This object contains their core details and, crucially, their relationships to others.
Here's what a single node in your organizational graph might look like when accessed via a team structure API:
{
"id": "user-1a2b3c",
"name": "Alice Woods",
"title": "Director of Engineering",
"email": "alice.woods@example.com",
"department": "Technology",
"location": "San Francisco",
"manager": {
"id": "user-d4e5f6",
"name": "Charles Davis",
"title": "CTO"
},
"direct_reports": [
{
"id": "user-x7y8z9",
"name": "Bob Smith",
"title": "Lead Software Engineer"
},
{
"id": "user-p1q2r3",
"name": "Diana Prince",
"title": "Lead DevOps Engineer"
}
]
}
This isn’t just a contact card; it’s a piece of a larger puzzle. The manager and direct_reports keys define the structure. With this data available programmatically, you can now build powerful automations, including the on-demand generation of visuals.
So, how do you get from that JSON object to a visual chart? It’s a straightforward, three-step process.
The first step is to make an API call to your employee directory service. You could request data for a specific manager to build a chart of their team, fetch an entire department, or pull the whole company structure. A good API will allow you to run powerful queries, like finding an employee's full management chain ('up the org') to visualize their reporting line.
You can’t just draw JSON. You need to translate this relational data into a format that a visualization tool can understand. The most common and powerful tool for this is Graphviz, an open-source graph visualization software that uses a simple language called DOT.
Your script would parse the JSON and generate a DOT file. The logic would be simple:
For more interactive, web-based charts, you could use JavaScript libraries like D3.js or GoJS to render SVG visuals directly in a browser, perfect for embedding in an intranet or dashboard.
Once you have your graph defined in a language like DOT, the final step is rendering. The Graphviz toolkit can take your DOT file as input and output a clean JPEG, PNG, or SVG file.
dot -Tjpeg my-org-chart.dot -o my-org-chart.jpeg
And just like that, you have a fresh, accurate organizational chart generated directly from your central source of truth. You can run this process as part of a script, a scheduled job, or a web service to generate charts on the fly.
This "as-code" approach unlocks capabilities that are impossible with manual methods:
While you could build an internal API and the corresponding logic from scratch, the reality is that managing organizational data securely and efficiently is a complex task.
That's where directory.do comes in.
We provide the "Structure as a Service" foundation, giving you a robust, secure, and powerful team structure API out of the box. Instead of building the backend, you can focus on what to do with the data.
Stop wasting time with static boxes and lines. It’s time to treat your organizational chart like the critical data asset it is.
Ready to automate your corporate directory and unlock powerful insights? Explore the directory.do API today and start managing your org chart as code.