DeepTagger is a no-code platform that makes your judgment scalable. It uses your annotations as an example to extract information from new documents. Highlight what matters to you once, and let DeepTagger handle the rest with precision. API access included.
Really impressed with how easy it is to turn unstructured documents into structured data. The interactive labeling feels very intuitive!
DeepTagger
@thanh_th_o_le Thank you Sunny!
Scrumball
I can sense that there are many scenarios where it can be used. Do you support Notion?
DeepTagger
@alex_chu821 Well, we support Markdown, so effectively we do support Notion. Right now we have only API public, as our MCP is still in alpha, but absolutely this can be plugged into Notion, or any other document provider.
Scrumball
@avloss The Notion integration possibility is interesting. API-first approach is smart - gives you flexibility to plug into different workflows.
How's the alpha MCP performing so far? Any timeline for when it might be ready for broader testing?
DeepTagger
@alex_chu821 MCP is working in principle, but there are still some limitations. As discussed here with @sentry_co, we need to ensure secure file passing to DeepTagger – right now it’s text-based, which really only makes sense for shorter `txt` or `md` files. We’re aiming to launch it in beta within the next month. Would love to get your feedback once it’s live. Initially we weren’t 100% sure which integrations to prioritise, but based on the Product Hunt discussions, MCP integration is now our top focus.