AI-NATIVE DOCUMENT INFRASTRUCTURE
Turn documents into data your software can use.
StartOCR understands a document, structures the result, and keeps the confidence and source context your workflow needs.
{
"status": "needs_review",
"invoice": {
"number": "INV-1048",
"total": 1843.50
},
"confidence": 0.91
}FROM DOCUMENT TO USABLE DATA
Understand before you automate.
Document → Parse → Understand → Extract → Validate → Deliver.
REAL DOCUMENTS ARE MESSY
Evaluate the difficult files, not a perfect demo.
Use representative scans, multi-column PDFs, mixed text and images, rotated pages, tables, and long documents.
{
"value": 1843.50,
"confidence": 0.91,
"needs_review": true
}STRUCTURED OUTPUT
Ask for the fields you need.
Describe the outcome once, then reuse the same schema across your application and workflows.
curl -X POST https://api.startocr.com/v1/extract -H "Authorization: Bearer $STARTOCR_API_KEY" -F file=@invoice.pdf \ -F schema=@invoice.json
RELIABILITY AND CONTROL
Keep every request observable.
Request IDs, async jobs, retries, webhooks, logs, usage, and field confidence make it easier to understand the production path.
START WITH ONE DIFFICULT DOCUMENT
Try the Playground. Get an API key.
Inspect a real result, define the output your system needs, then integrate the same request.