Most tools for checking plagiarism or AI-generated content share a few drawbacks:
- they require uploading your text to a website
- they are often paywalled or rate-limited
- they lack transparency in how results are generated
I ran into this problem a few times and wanted a simpler alternative I could run locally.
So I built dokimos — a lightweight Python CLI for checking:
- text similarity (potential plagiarism)
- AI-likeness signals
What It Looks Like
```bash id="k29sdf"
$ dokimos check essay.txt
Plagiarism risk: Low (12%)
AI-likeness: Medium (0.63)
The goal is not to replace large commercial tools, but to provide something that is:
* fast
* minimal
* scriptable
* privacy-friendly (no text leaves your machine)
## Why I Built This
I wanted a tool that could:
* quickly validate content before submitting or sharing
* integrate into scripts or developer workflows
* work entirely offline
Many existing solutions feel heavy or opaque. This is intentionally simple and local-first.
## How It Works (High-Level)
At the moment, dokimos focuses on:
* similarity checks to flag potentially copied content
* heuristic-based indicators to estimate AI-generated patterns
It is still an early-stage project, and the results should be treated as signals rather than definitive conclusions.
## Target Use Cases
* developers who prefer CLI-based tools
* students and writers who want a quick local check
* teams looking for simple automation hooks
## Roadmap
Planned improvements include:
* better detection accuracy
* clearer explanations for scores
* structured output (e.g., JSON) for integration
* deeper similarity insights
## Repository
https://github.com/Thavarshan/dokimos
## Feedback
This is an early project, so feedback is very valuable.
If you have suggestions around accuracy, usability, or features, I would appreciate hearing your perspective.
DE
Source
This article was originally published by DEV Community and written by Jerome Thayananthajothy.
Read original article on DEV Community