DebugTool VS mdstill
Compare DebugTool VS mdstill and see what are their differences
AI agents that spec, build, test, and ship code โ with voice chat, deep GitHub integration, and zero LLM markup.
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DebugTool
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mdstill is a document-ingestion tool purpose-built for LLM and RAG workflows. Where generic converters dump messy text, mdstill outputs clean, semantic markdown that preserves tables, headings, and document structure โ the things LLMs actually need to understand context.
What you can do with it:
Prepare documents for RAG pipelines (chunk-ready, semantic boundaries preserved) Feed PDFs, Word files, or spreadsheets into ChatGPT, Claude, or Gemini without losing tables Build knowledge bases in Obsidian, Notion, or Logseq from existing document archives Extract structured context for AI agents and embeddings How it's different: Deep-conversion mode runs layout-aware parsing (tables, OCR, multi-column PDFs) โ not just text dumping. Markdown output is ~40% more token-efficient than raw text, so your LLM costs drop. REST API available for pipeline automation.
Free tier, no signup required for basic use. Competes with markitdown, Unstructured.io, and LlamaParse โ but with a zero-friction web UI.
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mdstill's answer:
mdstill is built specifically for LLM and RAG workflows, not generic file conversion. Drop any of 20+ document formats (PDF, Word, Excel, PowerPoint, EPUB, and more) and get back clean, structure-preserving Markdown that's tuned for ChatGPT, Claude, Gemini context windows and vector-database ingestion. Tables stay intact, headers become linkable anchors, output is ~40% more token-efficient than raw text extraction. Free web tool + REST API โ humans and pipelines use the same engine.
mdstill's answer:
Alternatives fall into two camps: developer libraries that require setup, or enterprise SDKs that require a sales call. mdstill fills the middle: open a browser, drop a file, get Markdown in seconds โ and when you need to scale, the same conversion runs through a REST API. 20+ formats in one tool instead of picking a different parser per format. Tables survive the trip (most tools mangle them). Files are deleted immediately after processing. Free tier, no credit card, no signup for basic use.
mdstill's answer:
Two overlapping groups. Developers building AI features โ engineers feeding documents into ChatGPT, Claude, or Gemini APIs; teams building RAG pipelines and AI agents who need reliable document ingestion. Knowledge workers and researchers โ Obsidian and Notion users importing legacy PDFs, students preparing papers for AI analysis, analysts converting spreadsheets for LLM review. Common thread: anyone who's discovered that pasting raw PDF text into an LLM loses tables and wastes tokens.
mdstill's answer:
mdstill started from a personal frustration: feeding documents into ChatGPT and Claude meant pasting messy PDF text with broken tables and lost structure, or paying for heavyweight enterprise tools just to preprocess a few files. The fix seemed obvious โ Markdown is what LLMs understand best, so the conversion should be a utility anyone can use, not a product you buy. mdstill was built to make high-quality document-to-Markdown preprocessing free and instant for everyone, with an API for teams who need to scale.
mdstill's answer:
mdstill launched publicly in April 2026 and is in the early-adopter phase. Currently used by individual developers, indie AI-tool builders, and small research teams โ customer logos will be added as early adopters opt in to share them.
mdstill's answer:
Python + FastAPI on the backend, Next.js + TypeScript on the frontend.
We work in an agency that develops websites mainly in WordPress, and regularly based on our experience over several years of working with multiple clients, we have discovered that one of the main problems between agency-client is communication, which often sometimes is tedious and fruitless, but now with the visual debugger is easy to point in the screen what needs to be changed and do it quickly. Also, we had a problem calculating how much our will cost our services for the customers according to the time spent on their projects but now with the "Time tracking" function, we can know exactly how much time was dedicated to the project and based on that invoice the client with greater certainty.
I think this is a great solution for web designers that needs to clear all visual bugs of a website fast to deliver in less time and get more jobs quickly.
Webvizio - This free website feedback tool & website review software allows managers and teams to collaborate on website revisions in real time. Join for free now!
Firecrawl - Turn any website into LLM-ready data.