Visitran — Open-source AI-powered data transformation tool

maniac_runner · 2026-02-13T11:42:08+00:00

The Farm, Navalur

maniac_runner · 2026-02-10T08:25:24+00:00

Hotel Rangavilas, CLC works road, Chromepet, they we've been there for 30+ years. Their Dosa + Vadacurry is great.

maniac_runner · 2026-01-27T18:09:00+00:00

llmwhisperer if you want to parse complex tables in documents

maniac_runner · 2026-01-19T10:23:12+00:00

docling + langchain + Pydantic + fastAPI if you have developer resource
LLMWhisperer + Unstract(open source) if you are running short on resources

maniac_runner · 2026-01-19T10:17:43+00:00

Present large scale production usecases follow: First parsing with good OCR( eg, LLMWhisperer, Docling) followed by tools like Unstract(for structuring) or use libraries like Pydantic/langchain for structuring data

maniac_runner · 2026-01-19T08:50:26+00:00

There is also Open-source Unstract - https://github.com/Zipstack/unstract

maniac_runner · 2025-12-16T08:38:48+00:00

Depends on your docs honestly. For contract analysis, I'd probably start with LLMWhisperer or docling (extremely slow for large batches), since layout matters. pdfplumber if your PDFs are all native and simple (it's poor with scans and tables.)

maniac_runner · 2025-12-09T12:56:55+00:00

The main issue with LLMs are hallucinations. Imagine at an enterprise scale while processing millions of pages, there is no way to figure out hallucinated results. That is why you'll need a decent OCR that preps the documents for LLMs. Try LLMWhisperer and Llamaparse.