14 posts
Kamai's MCP server is listed in OpenAI's public plugin directory. Install it in ChatGPT to open projects, blueprints, and takeoffs from the conversation.
How a PDF takeoff API automates quantity extraction from construction plans, so estimators stop tracing walls by hand and bid faster.
What construction takeoff APIs do: pull quantities and measurements out of PDF plans automatically so estimating software can skip manual takeoff.
How Kamai's PDF takeoff API turns blueprint sheets into quantities and structured data your estimating tools can read.
What actually matters in a construction takeoff API: format support, AI quantity extraction, structured output, and integrations.
How to feed automated takeoff quantities straight into your estimating software with Kamai's Takeoff API and structured data output.
How Kamai's Takeoff API reads 2D plan sets and returns structured quantities, areas, and counts you can export, query, and push into estimating.
What a takeoff API is, how it pulls quantities straight from your PDFs, and how Kamai folds takeoff into the tools estimators already use.
Kamai's PDF takeoff API returns quantities in seconds: about 30 seconds for residential plans and 2-5 minutes for commercial sets.
When an embedded takeoff API is worth it, where it isn't, and how Kamai's API fits estimating and construction-tech workflows.
A takeoff API that reads PDFs and 2D drawings works across residential, commercial, infrastructure, and renovation. Here is why, and where the limits are.
What it actually takes to integrate Kamai's takeoff API: auth, upload, and structured quantities back from blueprints in days, not months.
Embed plan takeoff in your platform with Kamai's Takeoff API: upload drawings, get structured areas, volumes, and counts back as JSON.
Turn floor plans into structured takeoff data with Kamai's AI Takeoff API: wall lengths, room areas, and counts straight into your estimating tools.
