01
Upload the image
Start with the screenshot, scan, whiteboard capture, or formula image that contains the content you need.
MD Intelligence
This route handles source material that is already trapped inside an image. Upload the screenshot, give the model a hint, and convert the visible content into Markdown for editing and reuse.
What you get
AI extraction
Why this page exists
Sometimes the source is a screenshot from a chat, a scanned handwritten note, a formula capture from a slide, or a table embedded in an image. Traditional conversion tools cannot help until that visual content becomes text again.
This page gives that harder input type its own workflow. Upload the image, tell the extractor what matters, and get back Markdown that can be edited, organized, and reused like the rest of your writing material.
How it works
01
Start with the screenshot, scan, whiteboard capture, or formula image that contains the content you need.
02
Add a short hint when formulas, tables, or a specific structure deserve extra attention.
03
Review the extracted Markdown, copy it, download it, or continue refining it in JustMarkdown.
Best for
Recover math-heavy notes or slides into Markdown plus LaTeX instead of leaving them trapped in screenshots.
Extract a readable table and supporting notes from a screenshot when the original spreadsheet is unavailable.
Turn visual notes into editable Markdown so they can enter a real writing workflow.
FAQ
The route is best for screenshots, slides, whiteboard captures, scanned notes, and images where the content is mostly text, formulas, or structured layout rather than pure photography.
Yes, when they are legible enough. The extraction prompt asks the model to use LaTeX for formulas and Markdown tables when the table structure is readable.
The page will still load, but extraction requests will fail with a clear configuration error until `OPENAI_API_KEY` is available on the deployment.
Continue with
People rarely stop at one conversion. These adjacent pages pick up the next task in the same workflow.
Summarize the extracted Markdown after the image has been converted into text.
Clean up the extracted Markdown once OCR and structure recovery are complete.
Use deterministic HTML conversion when the source is a webpage instead of an image.
Continue refining the extracted Markdown in the main writing workspace.