Chandas-identification is a simple application that helps you recognize Sanskrit poetic meters just by typing or pasting Devanagari text. Sanskrit poetry often uses specific rhythm patterns called meters or chandas. This tool uses artificial intelligence to find these patterns quickly and explain how it makes its decision.
You do not need any programming skills to use it.
This guide will help you download, install, and use Chandas-identification on your computer. We cover everything step-by-step to make the process smooth.
To get started, visit the official release page to download the application:
Download Chandas-identification here
Click the link above or the big blue button at the top to open the releases page. Inside, look for the latest version suitable for your computer's operating system.
You will find installers or files for:
- Windows (e.g.,
.exefile) - MacOS (e.g.,
.dmgfile) - Linux (e.g.,
.AppImageor.debfile)
Choose the one that matches your system.
- Download the
.exeinstaller from the releases page. - Double-click the downloaded file.
- Follow the on-screen prompts to install.
- Once installed, find the Chandas-identification icon on your desktop or start menu.
- Double-click to open the application.
For other operating systems, the process will be similar: download the file, open it, and follow instructions.
To run Chandas-identification smoothly, your device should meet these minimum requirements:
- Operating System: Windows 10+, MacOS 10.13+, or modern Linux distro
- RAM: 4 GB or more
- CPU: 1.5 GHz dual-core or faster
- Disk Space: 100 MB free space
- Internet: Required only for downloading (no constant connection needed)
The app runs offline once installed, so you do not need an active internet connection to use it.
Here are the key features you will find in Chandas-identification:
- Supports recognition of 10 common Sanskrit meters including Anuแนฃแนญubh, Indravajrฤ, Mandฤkrฤntฤ, and Vasantatilakฤ.
- Fast and reliable real-time meter identification from Devanagari text.
- Displays probabilities or confidence scores to help you understand how certain the software is.
- Provides alternative meter possibilities, so you can see other patterns that might fit.
- Uses SHAP explainability to show which parts of the text affect the decision.
- Has a clean user interface designed for easy use.
- Includes error handling for common input mistakes or unsupported text.
Here is an example of the application in use. You type or paste your Sanskrit text, and the system analyzes it instantly.
The display shows:
- Predicted meter name with confidence score
- Alternative meter suggestions with respective scores
- Explanation based on text features influencing the prediction
- Open the installed application.
- In the main window, find the input box.
- Type or paste Sanskrit text written in Devanagari script.
- Click the "Analyze" or "Identify Meter" button.
- Wait a moment while the machine learning system processes the input.
- View the results below the input box.
- Explore the confidence levels and explanations to better understand the output.
Try entering familiar verses or your own Sanskrit poetry to see meters identified instantly.
For users with some technical knowledge, the app also offers:
- A REST API for integration with other applications or websites.
- Export options to save results in formats like CSV or JSON.
- Configuration settings to adjust feature display or switch between meters.
These are optional and the default user interface caters well to most users.
- Make sure you input text in Devanagari script for best results.
- If the app cannot identify the meter, check spelling or try shorter poetry lines.
- Restart the app if it becomes unresponsive.
- Check your system date and time are correct; this can affect downloaded licenses.
- Refer to the help or about section inside the app for more tips.
- Visit the GitHub repository releases page to download updates or report issues.
- Check the README or documentation files in the download folder for user guides.
- Use the "contact" or "support" link on the GitHub page to submit questions.
This project is free to use under the terms specified in the GitHub repository. Check the LICENSE file for details.