Turn complex documents into structured data
We deploy computer vision models trained on your documents to find, count, and label all symbols, tables, and text. The custom output flows directly into your existing workflow.

COUNTED IN THIS VIEW
We deploy computer vision models trained on your documents to find, count, and label all symbols, tables, and text. The custom output flows directly into your existing workflow.

COUNTED IN THIS VIEW


*Logo was developed by the U.S. Department of Energy to indicate receipt of DOE funding. Not an endorsement by DOE.
*Logo was developed by the U.S. Department of Energy to indicate receipt of DOE funding. Not an endorsement by DOE.
We can digitize your entire backlog in one project, or deploy your custom computer vision model to process documents as they come in.



Clear an entire archive in a single project, or have us deploy a custom model that reliably handles documents as they come in.


AI models trained specifically on the documents you actually work with. Reliably recognizes symbols, labels, text, and context, even in complex layouts that basic parsing software misses.


Count every field, table, and label without manual annotation or box-drawing.


Generate clean, structured data in the exact format and file type that you need.


Set up your labels once and use them across every file.


Every value links back to the original document, so reviews and audits are quick.
Average time savings on data extraction and structuring.
Data traceability for audit and compliance.
Increased throughput per engineer or analyst.
Replace hours of manual counting.

Built for secure, scalable deployments in regulated industries
Designed for sensitive infrastructure and proprietary designs. Your data is encrypted and only your team can access it.
Cloud, private VPC, or on-premises deployment options available.
Designed to support industry, customer, and regulatory compliance requirements.
Available for enterprise customers.
Send us a few of your documents and see what OpenDrawing can extract from them.
