This product was not featured by Product Hunt yet.
It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).

Product Thumbnail

PDF2Markdown

Parse PDF and images to Markdown in seconds

Visit WebsiteSee on Product Hunt

Hunted byLEI QINLEI QIN

PDF to Markdown — convert PDF and image documents to clean Markdown. Built for developers: REST API for docs, content migration, and pipelines. Handles text and image-based PDFs (scans, faxes) with layout-aware parsing. Returns Markdown and structured JSON. Sync and async endpoints. Official JS SDK and CLI. Skills for Cursor, Claude Code, Codex, Windsurf, and other AI agents so they can “convert this PDF” directly from chat.

Comment highlights

About PDF2Markdown on Product Hunt

Parse PDF and images to Markdown in seconds

PDF2Markdown was submitted on Product Hunt and earned 2 upvotes and 3 comments, placing #151 on the daily leaderboard. PDF to Markdown — convert PDF and image documents to clean Markdown. Built for developers: REST API for docs, content migration, and pipelines. Handles text and image-based PDFs (scans, faxes) with layout-aware parsing. Returns Markdown and structured JSON. Sync and async endpoints. Official JS SDK and CLI. Skills for Cursor, Claude Code, Codex, Windsurf, and other AI agents so they can “convert this PDF” directly from chat.

Who hunted PDF2Markdown?

PDF2Markdown was hunted by LEI QIN. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Want to see how PDF2Markdown stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.