Computer vision AI for images and artwork
Netbase applies computer vision to images and artwork: checking customer uploads before print, tagging and sorting product images, and converting raster images into vector files. Document workflows such as invoices and forms belong to our intelligent document processing solution. Computer vision is a capability we are growing.
Book a solution review View relevant workReviewed by David (CEO) · Updated 17 Sep 2026
Have images or artwork that people check by eye all day? Book a solution review.
What computer vision development includes
Many businesses that sell custom or visual products handle thousands of images: customer uploads, product photos, design templates and proofs. Most of that handling is repetitive inspection: is the resolution high enough, is the image the right type, can it be cut or printed, which category does it belong to. Computer vision development automates those checks and transformations and routes doubtful cases to a person. It belongs to our AI & Data family.
Included
- Image quality checks: resolution, format, colour and bleed
- Classification and tagging of product and design images
- Raster-to-vector conversion and background removal
- Similar-image search and duplicate detection
- Review queues for low-confidence results
- Integration into design tools, stores and production
Not included
- Face recognition or identifying people
- Biometric or emotion analysis of any kind
- Reading invoices, forms and contracts (see intelligent document processing)
- Video surveillance systems
- Guaranteed accuracy figures
When to use it, and when another route fits
Computer vision earns its cost when image volume is high and the checks follow rules a person could explain.
Good fit
- Customers upload artwork that must be checked before production
- Large product catalogues need consistent tags and categories
- Designs need converting to vectors for cutting or printing
- A person can confirm the uncertain cases
Another route fits better
- A handful of images a week: a checklist is cheaper
- The images are mostly scanned documents: use intelligent document processing
- The task is recognising individuals: we do not build that
- No one can define what a good image is
Every other route is in the services directory.
Outcomes and buyer jobs
Commerce and production leaders hire computer vision development to:
Low-resolution or unprintable uploads are flagged while the customer is still online.
Conversion and clean-up steps run automatically, with a person checking exceptions.
Images are tagged, grouped and de-duplicated consistently.
Instant checks and conversions remove waiting time in the design flow.
Confidence thresholds send uncertain results to review.
Capability modules and deliverables
Image types, volumes, quality rules and the decisions each image drives
Automated checks for resolution, format, colour mode and print margins
Models that tag and categorise images, with confidence scores
Raster-to-vector and clean-up steps tuned to your production output
Screens where staff confirm or correct low-confidence results
Connection to the design tool, store and production workflow
Delivery process, team and governance
Computer vision work follows our six-step delivery lifecycle:
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Discovery and strategic alignment
We collect sample images, including the hard cases, and agree what good output looks like.
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Team assembly and architecture planning
An architect plans where models run, how images are stored and how results reach users.
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Agile execution with outcome-based milestones
Each milestone is scored on a labelled test set of your own images.
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Modular and productized components
Design tool, catalogue and production modules carry the results into your workflow.
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Training, rollout and optimization
Staff learn the review queue; thresholds are tuned on real traffic.
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Ongoing support and co-building
New image types and rules are added as the catalogue grows.
Teams of 3 to 30 people typically start one to two weeks after discovery. Work runs in Agile sprints, remote-first in English, with weekly reviews, KPI dashboards and a named account and project manager; checks are exposed as APIs your upload flow can call. Customer uploads can contain personal or copyrighted material, so security practices apply throughout: role-based access control, TLS in transit and AES at rest, secure code review and vulnerability scanning; NDAs and DPAs are available on request.
We stay out of the uses regulators restrict most. The European Commission's summary of the EU AI Act lists untargeted scraping of facial images, emotion recognition in workplaces and biometric categorisation among prohibited practices, and remote biometric identification among high-risk uses; this service covers none of them.
AI in this service
Computer vision turns visual inspection from a manual queue into an automatic check with human review of exceptions. Our practice keeps a labelled test set of your images, versions each model and threshold, logs every automatic decision, and sends low-confidence results to a person. Where generated or converted images leave your system, provenance standards such as C2PA Content Credentials can record how the file was produced. AI-assisted coding and test generation support the build, and every change is reviewed.
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In delivered work
Document AI platform
Classification, reading and extraction of business documents, delivered for a client that is not named.
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Available capability
Image quality checks, classification and visual search
Computer vision use cases we design and build; not yet tied to a published case.
Engagement models and commercial variables
Most Netbase projects are delivered on fixed-price contracts agreed after discovery; for computer vision, a fixed-price first phase scored on a labelled set of your images is the usual start. Milestone-based, monthly team retainer and KPI-linked terms are also offered. We do not publish rate cards.
What moves effort and cost: the number of image types and checks, how many labelled examples exist, whether results must be instant in a design tool or can run in batches, output quality for production, and integration points.
Technology as an implementation choice
Classic image processing, trained vision models and multimodal models each have a place; a simple rule for resolution should not become a model. Netbase is model-agnostic: we work with models from OpenAI, Anthropic (Claude), Google (Gemini) and Meta (Llama), among other commercial and open-weight models, and choose per project by quality on your test set, speed and cost. The components we compare, with maturity labels, are on our data and AI stack page; adding vision to systems you already run is AI integration work.
Industry applications
Printing and packaging. Netbase has delivered 50+ custom web-to-print platforms across apparel, packaging, signage, promotional merchandise and corporate B2B portals. Upload checks, vector conversion and template tagging fit directly into those design and ordering flows.
Retail and e-commerce. Product photo checks, category tagging and duplicate detection keep large catalogues consistent across channels.
Printing and packaging: online ordering, AI artwork checks and production handoff
Netbase helps print and packaging businesses move ordering, artwork approval and production handoff online, with AI where files go wrong, so customers configure, design, proof and pay in one flow and the press floor receives clean jobs. Six published print-commerce case studies and 50+ custom web-to-print platforms, across apparel, packaging, signage, promotional merchandise and B2B portals, back this page.
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Proof: delivered vision AI and the design platform behind it
Evidence maturity: computer vision is a growth capability. No named computer vision case is published yet: Netbase delivered a document AI platform for a client that is not named, and the Printcart record is platform proof.
Delivered AI: document AI platform (anonymised client). Netbase built classification, extraction and validation of business documents as AI consultant, engineer and integrator. The record publishes no client name, document types or results. See the anonymised record.
Related work: 4over4 (online printing, United States). Netbase built a recommendation engine and automated the conversion of Adobe Illustrator (.ai) design files to SVG, a file-format step rather than computer vision. Read the 4over4 case.
Platform proof: Printcart (Netbase Business Division). A web-to-print and print-on-demand platform with an online design tool, 1,000+ POD products and 12,400+ vector cliparts in 51 categories, turning orders into print-ready files and routed fulfilment. It is not an AI product; it is the design and file workflow where vision checks plug in. See the Printcart record.
Related delivered AI: content moderation for a classifieds marketplace (founder not named). AI filtering flags offensive content in new ads for an admin moderation queue, where people approve, edit or reject. The record does not say whether images, text or both are screened, names no AI service and publishes no accuracy figure. See the classifieds record.
More projects are in our work.
Netbase JSC reworked checkout, search and navigation, automated Adobe Illustrator (.ai) to SVG file conversion and added recommendations.
Keep Reading
Netbase designed, engineered and operates the multi-tenant platform: an online design studio, automatic print-ready files, print order management, and store apps plus an API that plug into any storefront.
Keep Reading
Netbase delivered a document AI platform for a client, in a role that combined AI consulting, engineering and integration.
Keep ReadingBuyer FAQ
No. This service works on product images and artwork, not on identifying or categorising people.
Those belong to our intelligent document processing solution, which covers extraction, validation and approval of business documents.
We measure it on a labelled test set of your own images before launch and send uncertain results to review; we do not promise a figure in advance.
Yes, where speed allows. Checks that must be instant run in the upload flow; heavier steps run in the background.
You own the IP created for you and your images stay yours. Netbase productized modules are licensed, not transferred.
Training on easy examples. We collect the hard cases first, because those decide whether automation holds up.
Related solutions
Intelligent document processing with AI: from orders, invoices and forms to validated data
Intelligent document processing is AI-driven document intake that reads orders, invoices and forms, extracts the fields your systems need, validates them against business rules and routes each record to the right queue, with people reviewing anything uncertain. Netbase offers it as a growth capability built on its computer vision and automation work, including a document AI platform delivered for a client that is not named.
Learn More
Service owner and next step
This service is owned by David, Netbase's Chairman, founder and CEO, and maintained by the Netbase Editorial Team. Send a sample of the images your team checks by hand: book a solution review, or view relevant work first.
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Netbase JSC helps organizations design, build, modernize, and operate digital products and AI-enabled business systems.+84 937 869 689
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