Recognition
is not
comprehension.
The only REST API that reads engineering drawings — not just sees them.
Vision models recognize patterns. The PDF Intelligence API extracts typed vector geometry — every line, arc, polygon, and text label with real-world coordinates, layer names, and color attributes. Structured JSON. One API call.
One click on pink.
Every Metro stop — highlighted.
We ran the Obama inauguration route map — a public PDF from the National Archives — through the PDF Intelligence API. Here is what came back versus what a vision model sees.
When you click the pink swatch in the color panel — every Metro stop illuminates simultaneously. Not because we told the system what Metro stops look like. Because the cartographer used pink consistently, and the API surfaces color as a queryable semantic signal.
Each stop is a compound object: the M symbol, the text label, and the individual station entrances — nested together, extracted as a group. This is not recognition. This is comprehension.
✓ Queryable by color, type, or layer
✓ Compound objects identified as groups
Three endpoints. Complete intelligence.
The API reads native PDF operators using the same geometry the original CAD system wrote. No rasterization. No OCR. The document’s actual structure, returned as JSON.
Vector object extraction
POST any PDF. Receive every vector object as structured JSON.
-F “[email protected]”
Format conversion
Convert to DXF, DWG, SVG, PNG and 14 more formats.
-F “profile=cad-layered”
AI drawing intelligence
Geometry-grounded AI summaries. Every claim traceable.
-F “[email protected]”
Built on 30 years of PDF R&D.
Read the technical brief.
Architecture, extraction methodology, and benchmark comparisons — for engineering and technical due diligence teams.
No sales calls. We’ll send the PDF and follow up only if you ask.