MessyData – turn messy data into clean tables/CSV
Useful for quick cleanup, but JinaAI and LLMs already handle this natively.

Catches silent data failures (schema drift, type mismatches) before pipelines break.
Data engineers, backend developers, data analysts working with structured files
Great Expectations · Soda · Dataedo
I often work with CSV and JSON files that are a bit messy - duplicates, inconsistent formatting, or just hard to inspect.
I usually end up jumping between Excel, scripts, and random online tools.
So I started building a small browser-based tool to make this easier.
Right now it lets you:
- Convert between JSON, CSV, Excel formats
- Remove duplicates quickly
- Filter and reshape data visually
- Inspect basic issues in the file
and few more.
Everything runs in the browser - no uploads to a server.
It’s still early, but I’d love to know your experience and thoughts about the product.
Maybe I am missing something or thinking wrong, your response will really matter. So looking forward for your feedback.
I would like to ask:
- what is that thing in your data workflows or data tasks, that feels like slowing you or like giving a sharp pain regularly?
Useful for quick cleanup, but JinaAI and LLMs already handle this natively.
Agent-guided compilation handles merged cells and multi-level headers LLMs choke on.
Better table extraction than Unstructured for RAG pipelines.
Client-side data tools without signup, but Papaparse and a dozen alternatives already solve this.
Yet another CSV cleaner competing with OpenRefine and Trifacta.
Multi-language literal generator when quicktype already handles JSON-to-code conversion.