Computer Vision & OCR

Turn images and documents into structured, usable data.

From detecting products on shelves to extracting fields from scanned invoices, Trodas builds vision pipelines that work in messy real-world conditions. The studio has experience supporting Fortune 500 computer-vision programs — including the data preparation and quality control that production-grade visual AI depends on.

F500

computer-vision programs supported

40%

dataset preparation time saved via processing automation

99%+

extraction accuracy achievable on structured documents

What you get

Deliverables, not deliverable-shaped promises.

  • OCR pipelines — invoices, labels, IDs, and handwritten forms
  • Object detection and image classification systems
  • Image preprocessing and augmentation pipelines for ML training
  • Label detection and cropping automation for dataset preparation
  • Quality-control vision systems for manufacturing and retail
  • Integration with your existing ML stack

Stack we typically use

OpenCVTesseractPaddleOCRPythonPillowNumPyFastAPI

Not sure if this fits your problem? Bring it to a discovery call — we'll tell you honestly, including when the answer is “you don't need us for this.”

Book free call
FAQ

Common questions about this service.

How accurate will OCR be on our documents?

Accuracy depends on scan quality and document structure — which is why every engagement starts with a free benchmark on a sample of your real documents before you commit.

Do you train custom models?

Where needed, yes — but Trodas always evaluates whether existing models plus smart preprocessing solve the problem first. Custom training is a cost you should only pay when justified.