Submit a PDF
Upload in the dashboard or use plain HTTPS. The service accepts PDFs up to 90 MiB and 200 pages during the pilot.
Source-preserving PDF parsing for search and RAG. Native text and visual OCR remain separate, with page coordinates and explicit conflict records attached.
{
"page": 14,
"sources": ["native", "ocr"],
"state": "conflict",
"action": "block"
}
Upload in the dashboard or use plain HTTPS. The service accepts PDFs up to 90 MiB and 200 pages during the pilot.
Native PDF extraction and CPU OCR read the document. Raw observations stay separate even when they match.
Derived associations reference their source observations. Material disagreement becomes a blocking conflict, not a silent choice.
Page geometry, native observations, OCR observations, associations, and conflicts remain explicit. Markdown and other convenient views stay derived from that evidence.
{
"page": 14,
"nativeObservations": ["..."],
"ocrObservations": ["..."],
"criticalConflicts": ["..."],
"requiresEscalation": true
}
Carry page-level evidence into retrieval instead of indexing bare strings.
Preserve provenance and trust metadata beside searchable content.
Trace extracted values to their source page and exact observation geometry.
This is an invite-only value proof. The dashboard records a placeholder usage estimate; it is not an invoice or a measured per-job cloud bill.
PageSpatial keeps native and OCR evidence separate, associates it without overwriting either source, and exposes material conflicts.
Input PDFs and result objects are retained for up to two days. Download results into your own store.
PDF only, up to 90 MiB and 200 pages. Enrichment is off in the external pilot.
No. A material disagreement is preserved and blocks trusted output instead of being resolved from confidence alone.
No. The deployed parse path uses deterministic native extraction, local OCR, and rule-based association.
The parser scales to zero. The first job after idle can include roughly 70–102 seconds of cold-start time.