Chart Cloud using JavaScript
Try our API using this user interface will give a sample output. Moreover, it will also help you to evaluate the results.
Building an automatic cloud-based solution using Vanilla JavaScript, specifically with XMLHttpRequest and the Fetch API, to extract charts from spreadsheet files and convert them into image formats like PNG, JPG, or BMP, offers a streamlined and accessible approach to data visualization within modern software workflows. This solution is ideal for lightweight web applications, client-side integrations, and environments where minimizing dependencies is essential. Spreadsheet files often contain embedded charts that are critical for reporting, presentations, or dashboards. By leveraging native JavaScript capabilities, developers can create a responsive, browser-compatible system that extracts and renders chart visuals in real time-without relying on external libraries or server-heavy logic.
In essence, this Vanilla JavaScript solution provides a nimble, cloud-compatible method for automating the extraction of charts from spreadsheet files. It empowers developers to build fast, secure, and scalable visualization workflows using only native browser technologies. Whether embedded in a web portal, integrated into a SaaS platform, or used as a standalone tool, this system ensures that spreadsheet charts are accessible, shareable, and presentation-ready-without the manual effort.
Key Features
A key feature of this automatic cloud solution is its use of Vanilla JavaScript, specifically XMLHttpRequest and the Fetch API, to interact directly with remote APIs-without relying on wrappers, SDKs, or third-party drivers. This approach ensures lightweight, browser-native execution that's easy to embed into any web-based workflow. With Fetch, developers can send spreadsheet files as Blob or FormData objects to cloud endpoints for chart extraction, then handle the response asynchronously using Promises or async/await. For environments requiring legacy support or synchronous control, XMLHttpRequest provides a robust alternative, allowing fine-grained control over request headers, response types, and event listeners. This dual capability ensures compatibility across modern and older platforms while maintaining full transparency over how data is transmitted and received.
The solution supports a wide range of spreadsheet formats-including CSV, TSV, Excel, and Apple Numbers-by routing each file type through a tailored processing pipeline. Embedded charts are detected and extracted using cloud-based rendering engines, then exported to image formats like PNG, JPG, or BMP. This modular design allows the system to handle diverse formats without installing external libraries or drivers. Combined with real-time feedback, secure file validation, and seamless integration into broader workflows, the solution offers a fast, scalable, and dependency-free method for automating chart extraction.
Live Demos
You can try the API using the Javascript app
