Document & Text Extraction
Reading information from scanned documents, forms and images so it can flow into your systems.
- Optical character recognition (OCR)
- Field and table extraction
- Validation and review steps
Intelligent Systems
Turn Images and Video into Useful Information.
We help organizations explore and build computer vision capabilities, from reading documents to detecting objects and checking quality, designed around your environment and privacy needs.
Where It Helps
Common Situations We Help With.
Computer vision can help wherever people currently look at images, documents or video to find or record information.
-
Staff re-key information from scanned documents or photos
We extract fields and tables from documents and route uncertain results to a person for checking.
Document & Text Extraction -
Visual checks are repetitive and hard to keep consistent
We help flag items that may need a closer look, while people make the final call.
Visual Quality Inspection -
You want to understand activity or conditions captured on camera
We train and test models to identify and count the items or events that matter to you.
Object Detection & Classification -
An image-based process needs an audit trail
We design where models run and how results are recorded, with privacy requirements in mind.
Deployment Options
Capabilities
What We Can Help You Deliver.
Solutions are designed around your cameras, documents and privacy requirements rather than a fixed product.
Object Detection & Classification
Identifying and counting items, events or conditions in images and video.
- Labelled data preparation
- Model training and testing
- Accuracy review
Visual Quality Inspection
Supporting inspection tasks by flagging items that may need a closer look.
- Defect and exception flagging
- Integration with existing workflows
- Human confirmation
Deployment Options
Running vision models in the cloud or closer to cameras and devices, depending on your needs.
- Cloud or edge deployment
- Privacy-conscious design
- Performance monitoring
How We Work
How an Engagement Comes Together.
Vision projects depend on representative images, so data collection and labelling are planned from the start.
-
Phase 01
Define the Visual Task
We agree what needs to be detected or read, and under what conditions.
OutcomeA clear task definition and acceptance criteria
-
Phase 02
Plan Data & Labelling
We collect sample images or documents and plan how they will be labelled.
OutcomeA representative, labelled dataset
-
Phase 03
Prototype & Evaluate
We train an initial model and review its results with your team.
OutcomeMeasured results on your own examples
-
Phase 04
Deploy & Monitor
We run the model in the agreed environment and set up review of unusual cases.
OutcomeA working solution with human review where needed
Related Services
Often Combined With.
Do we need special cameras or equipment?
Not always. Many tasks work with existing cameras, scanners or phone images. We review sample material early to see whether it is suitable or whether changes would help.
How are privacy concerns handled with images and video?
Privacy is considered from the design stage, including what is captured, where it is processed, how long it is kept and who can access it, in line with your policies.
Will computer vision replace manual checks entirely?
Usually it supports people rather than replacing them, by flagging items for review or extracting information for confirmation. The right balance is agreed with you.
Intelligent Systems
Have Images or Documents to Make Sense Of?
Describe the visual task and the material involved, and we can discuss a practical first test.