AiCadGen vs TAT.ink

AiCadGen and TAT.ink are both design tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

AiCadGen

The core workflow is prompt-in, parametric-geometry-out: the vendor states the AI writes parametric code, runs it in a sandbox, and produces STEP, STL, DXF, OBJ, or PDF output — not a mesh render pretending to be CAD. Chat refinement handles incremental edits without reopening a feature tree. The system covers parts, multi-part assemblies with per-part STEP files and a mate-intent manifest, and floor plans with MEP overlays to AS1100, ISO, and ASME standards. The free tier runs on a credit pool, so complex or repeated generations will exhaust credits before a project is production-ready. Teams with high iteration volume hit the credit ceiling and move to a paid tier or reconsider the workflow entirely.

TAT.ink

The platform generates tattoo designs from text prompts across more than 20 style categories — realism, dotwork, trash polka, watercolor, and others — and lets you overlay the result on a body photo to check scale and placement before committing. The font generator handles name and quote tattoos across 20+ lettering styles with curve-and-placement simulation, which saves a round-trip conversation with your artist on typography alone. The idea explorer surfaces trending concepts by theme, mood, and placement, useful when a client knows they want something but cannot articulate what. The wall appears when you need fine-grained revision: prompt tweaking gets you variation, not surgical control, so complex multi-element compositions require repeated generation cycles with no guarantee of convergence.

Attribute	AiCadGen	TAT.ink
Pricing	Paid	Paid
Price	from $12/mo	$8.79/mo
Free trial	No	No
Open source	No	No
Has API	Yes	No
Self-hosted option	No	No
Platforms	Web	Web (browser-based)
Pros	Five export formats (STEP, STL, DXF, OBJ, PDF) from a single generation, so a maker can send the STL to a slicer and the STEP to a machine shop without a conversion step in between. Chat-based iteration updates geometry in plain English rather than requiring feature-tree edits, which means a design revision that previously cost thirty minutes of sketch debugging resolves in seconds. Multi-part assembly output includes a mate-intent manifest alongside per-part STEP files, so the exported package carries structural intent rather than forcing the receiving engineer to reconstruct relationships manually. MEP overlay generation works from an uploaded PDF or photo of an existing plan, which means architects and drafters can layer HVAC, electrical, or structural services onto a scanned drawing instead of redrawing from scratch. A free credit tier with no card requirement lets students and makers validate the tool against a real design brief before committing, which avoids the common trap of paying for a seat to discover the output quality doesn't match the use case.	Text-to-design generation across 20+ style categories, so a client can produce a concrete visual reference before the consultation rather than describing a concept from memory. Unlimited redraws with prompt tweaking, which means style exploration costs time but not additional budget — useful when a client is still deciding between tribal and blackwork. AR try-on overlay with scale, rotate, and opacity controls, so placement decisions get made on an actual body photo instead of being deferred to the appointment itself. Dedicated font generator with 20+ lettering styles and curve simulation, so name and quote tattoos skip the back-and-forth typography conversation with the artist entirely. Freemium access with daily limits, so occasional or first-time users can test the full generation and try-on workflow without a paid commitment before they know if the tool fits their process.
Cons	The free tier runs on a shared credit pool: iterating on a mechanical assembly across multiple refinement rounds consumes credits fast, and a hardware startup prototyping several variants of a bracket in one session will hit the ceiling before the design is final — the path forward is a paid tier or rationing generations. Exported STEP geometry arrives as a dumb solid inside SolidWorks, Fusion 360, or Creo — the parametric code that generated it stays inside AiCadGen's sandbox and does not export, so any team that needs an editable feature tree in their existing CAD environment rebuilds the part from scratch; at that point AiCadGen is a sketch reference, not a workflow accelerator. The platform is cloud-only with no self-hosted option, which disqualifies it for any team under a data residency policy, a defense contract with export-control requirements, or an enterprise IT policy that prohibits sending proprietary geometry to third-party cloud services — those teams route to self-hosted open-source CAD generation alternatives instead. Standards-aware drawing output targets AS1100, ISO, and ASME, but the vendor page does not describe a drawing validation or tolerance checking step — a mechanical engineer submitting to a contract manufacturer needs to audit every generated drawing before it becomes a purchase order, adding a manual review gate that the tool's speed advantage does not eliminate.	Prompt iteration is the only revision mechanism — there are no layer controls, element-selection tools, or surgical edit modes. When a design is 80% right but one element is wrong, you redraw the whole image. Teams with clients who have precise compositional requirements abandon this workflow and move to a human illustrator or a generative tool with inpainting support. The try-on engine works on uploaded photos but the vendor page describes no body-mesh detection or automatic skin-tone matching, meaning realistic integration depends on photo quality and manual opacity adjustment. For darker skin tones or low-contrast photos, the overlay preview degrades — artists report needing to describe the discrepancy to clients rather than relying on the preview as a decision tool. There is no API and no self-hosted option, so tattoo studios that want to embed design generation inside their own booking or client portal cannot do so without building a separate screen-scraping layer — at which point the integration maintenance cost makes a custom model deployment more defensible.

Bottom line

Only AiCadGen exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between AiCadGen and TAT.ink?

AiCadGen is Paid, while TAT.ink is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is AiCadGen better than TAT.ink?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.