Design and diagrams decision
PatentFig
A competent developer can build a useful, smaller patent-figure generator for personal or small-firm use within a week and modest monthly cloud/model costs, but reproducing the vendor's proprietary model quality, enterprise guarantees, and compliance assurances is not realistic.
Visit website↗$50/mo
$600/yr
Read off the official pricing page.
$100one-off40 h to build
$125/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 3 seats.
Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All PatentFig alternatives, with the arithmetic →
What a replacement has to do
- Upload reference image or enter description → run image-to-line/figure generation model → vectorize/clean output → apply office-export templates and download SVG/TIFF/PDF.
What it still won’t have
- Proprietary generation quality and ongoing model improvements provided by the vendor
- Contractual security, DPA/NDA and Trust Center assurances out of the box
- Enterprise features such as team pipelines, high-volume throughput guarantees and SLA-backed support
- Polished UX and built-in multi-office compliance testing/certification workflows
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 3 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal self-hosted PatentFig-like web service using Next.js for the frontend, Node/Express for the API, PostgreSQL for metadata, and S3-compatible storage (DigitalOcean Spaces or AWS S3). Use a hosted GPU instance (or managed inference endpoint) to run an image-to-line or image-to-figure model (or call a hosted image-inference API) and implement a raster-to-vector step using an open-source tracer (e.g., potrace via node bindings). Core features in scope: file upload, authenticated user account, one-project workspace, synchronous POST /generate that returns SVG/PNG, versioning (V1, V1.1), simple chat-to-edit flow that accepts textual edits and triggers a regeneration, and export endpoints producing SVG/PDF/TIFF at configurable DPI. Out of scope: training new models, enterprise multi-team billing, legal DPA/NDA contracts, and certified multi-office compliance testing. Include error handling, idempotent request keys, automated tests for upload/generation/export flows, and deployment scripts (Docker + Terraform or DigitalOcean App Platform).
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 5 cited sources+3
- Price verified on pricing page+3
- Evidence score63
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 5
Every page the run actually retrieved.
- official productPatentFig AI
- official pricingPatentFig AI Pricing — Plans for USPTO-Compliant Drawings
- official docsPatentFig AI Docs — Quick Start
- open sourcejgraph/drawio-desktop
- open sourcejgraph/drawio
Integrity checks
What held up, and what did not.