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@kanto-labs

Kanto Labs

@kanto-labs·Joined September 2026

Practical tutorials on web data, RAG document prep and SEO tooling.

About

Kanto Labs builds small, reliable tools for web data, document-to-Markdown for RAG, and SEO audits. Find our tools at apify.com/kantolabs.

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Kanto Labs's blogs

Kanto Labskanto-labs.hashnode.dev2 posts

About

Kanto Labs builds small, reliable tools for web data, document-to-Markdown for RAG, and SEO audits. Find our tools at apify.com/kantolabs.

Available for

Nothing here yet.

Kanto Labs's blogs

Kanto Labskanto-labs.hashnode.dev2 posts

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KLKanto Labsinkanto-labs.hashnode.dev·2d ago · 10 min read

LTX-2.5 in ComfyUI on a 20 GB GPU: Draft → Learned x2 Upscale → Refine (What Actually Matters)

Short answer: on a 20 GB card, run LTX-2.5 as three stages, not one: Draft at half the final resolution, 8 steps, distilled model at cfg 1.0. Upscale the latent x2 with LTX's learned spatial upscaler

KLKanto Labsinkanto-labs.hashnode.dev·3d ago · 6 min read

How to Convert PDF to Markdown for LLMs in Python (3 Free Libraries Tested)

Short answer: To keep headings and tables, use pymupdf4llm.to_markdown("file.pdf"), but check that its AGPL licence suits you. For raw speed with correct word spacing, use pypdfium2 and add your own