Markdown Converter - Free Online Tool

You can convert PDF, Word (.docx and .doc), PowerPoint (.pptx and .ppt), Excel (.xlsx and .xls), HTML pages, EPUB books, images (via OCR), and plain-text formats like .txt, .csv, .json, and .xml. You can also paste a web page or YouTube URL, or paste raw HTML and text directly.

Yes. The Markdown Converter is completely free to use with no account, no trial, and no credit card. It is part of a free tools collection on rohansurve.in supported by unobtrusive ads, so you can convert as much as you need.

No. Your file or text is sent to the conversion server, processed in memory, and the Markdown is returned to your browser. The original file is not saved or logged, and the tool keeps only a tiny local history (format and word count) in your own browser — never the document contents.

The limit is 50MB per file. That comfortably covers most documents, slide decks, and spreadsheets. If you hit the limit, split the document into smaller parts or export a lighter version and convert each piece.

The converter runs on a free-tier host that puts the server to sleep after a period of inactivity. The first request has to wake it back up, which takes about 30–50 seconds. Every conversion after that is quick until the server goes idle again. The progress bar shows a "waking up" message so you know what is happening.

Yes. Paste a YouTube URL in the URL tab and the converter pulls the available transcript and returns it as Markdown. This works when the video has captions or a transcript available; videos without any captions cannot be transcribed.

Tables are converted to Markdown tables where the source structure is clear, and image references are kept as Markdown image links. Very complex tables or multi-column layouts may need a little manual cleanup, so check the Preview tab before you use the output.

Plain text throws away structure — you lose the headings, lists, and tables that tell a reader (or an AI model) how the document is organised. Markdown keeps that structure in a lightweight, human-readable form, so the meaning and hierarchy survive while the file stays small and easy to edit.

Absolutely — that is one of the main reasons people use it. Converting a document to Markdown before pasting it into ChatGPT or Claude gives the model cleaner structure and uses fewer tokens than raw HTML or a messy copy-paste, which means better answers and lower cost.

Scanned or image-only PDFs rely on optical character recognition (OCR). Accuracy is good for clean, high-resolution scans but drops with low quality, handwriting, or unusual fonts. For the best results, use a text-based PDF when one is available, and proofread OCR output before relying on it.

The tool converts one file at a time so you can review each result. To handle several documents, convert them one after another — the server stays warm between conversions, so each one after the first is fast.

No. Encrypted or password-protected PDFs cannot be read by the converter. Remove the password or export an unlocked copy first, then convert that file.

Copy-pasting from a PDF usually mangles the layout: line breaks land in the wrong places, columns merge, headings lose their meaning, and tables fall apart. The converter reconstructs the document structure into proper Markdown headings, lists, and tables, giving you a clean result instead of a wall of broken text.

Yes. Copy the Markdown output and paste it into a Notion page, or download the .md file and use Notion’s Markdown import. Headings, lists, and basic formatting carry over so you do not have to rebuild the page by hand.

Yes. Obsidian is built on Markdown, so the output drops straight into your vault. Download the .md file into your vault folder, or paste the Markdown into a new note, and it renders immediately with links and formatting intact.

The conversion is powered by a hosted API, and this page is a free front end for it. If you need programmatic access for your own project, get in touch through the contact page and we can talk about access.

Large language models bill and limit input by tokens, not words. The token estimates for GPT-4, Claude, and Gemini tell you roughly how much of a model’s context window your converted text will use, so you can decide whether to send it whole or split it up before pasting it into a prompt.

It is built on the same idea — extracting clean Markdown from many document formats — but this is a ready-to-use web tool, not a command-line library. You get drag-and-drop file upload, URL and text input, a live preview, copy and download buttons, and token estimates without installing anything or writing code.