Convert images to Markdown

The OCR engine detects layout structure first, then maps it to Markdown syntax: section titles become # and ## headings, bullet points become - lists, numbered lists keep their order, and tables become fenced | | pipe tables that render correctly in GitHub, Notion and Obsidian. Inline code stays wrapped in backticks and longer snippets are placed in triple-backtick blocks.

Yes. Snap or upload the rendered README, blog post or docs page and the tool reconstructs a clean Markdown source. This is helpful when migrating a rendered page back to a CMS, importing competitor docs into a knowledge base, or rescuing content from a site whose source you no longer have access to.

The output is GitHub-Flavored Markdown (GFM) by default, which is also valid CommonMark for the most part. Tables, task lists, fenced code blocks and strikethrough work in every modern Markdown editor including VS Code, Notion, Obsidian, Bear, Logseq and the GitHub web UI.

Yes. The Markdown is plain text that you can paste directly into any editor. Notion auto-converts the pipe tables and headings into native blocks; Obsidian and VS Code render it as-is. Use the Copy button for clipboard paste, or download the .md file to drag into your vault or repository.

Code blocks are detected from monospaced fonts in your screenshot and wrapped in triple backticks. You can manually add a language hint (```js, ```python) after the conversion for syntax highlighting. Inline code is preserved with single backticks, so command names and variables stay distinguished from prose.

Uploads are auto-deleted within 24 hours — unless you explicitly share a result, which keeps it at a public link anyone who has it can open for up to 30 days — and never reused for training. The Markdown output has no watermark, no attribution comment and no tracking pixel — it is plain text that you fully own. This makes the tool safe for client documentation, technical writing and internal knowledge-base imports.

Use the Engine dropdown in Settings — Default handles most screenshots and photos well, while Engine 1 or Engine 2 can recover more accurate results on stylised fonts or unusual table borders. Click Re-run extraction after switching to regenerate the Markdown output.

Yes — the Language picker lets you select the script your image contains (English by default), which improves recognition of accented characters, non-Latin alphabets and locale-specific punctuation. Only languages supported by the currently selected engine are listed, so switching engines may reset an unsupported choice back to English.

Yes — the result appears in an editable textarea, so you can fix a misread heading, correct a table cell, or tidy up list formatting right there before hitting Copy Markdown or downloading the .md file.

Set the Language picker to the page's language, try Engine 2 first since documentation often uses monospaced or stylised fonts, and proofread the fenced code blocks and tables in the editable output textarea before copying — that combination recovers the most structurally accurate Markdown.

Yes — Pixoate supports batch and bulk processing. Switch to Batch mode, add up to 60 images on Premium or 200 on Pro, set your options once, and every image is processed with the same settings before you download a single ZIP. Bulk processing is a Premium feature; the output uses the same quality and settings as single mode.

Yes — with bulk processing you configure the settings a single time and they apply to every item in the batch — up to 60 images on Premium or 200 on Pro. There is no need to repeat the setup per item, and Temporary uploaded and generated files are processed securely and deleted automatically.