GERMANY VIDEO REVIEW · CONTROL MAKER AI
The Control Makers Are In Too: HEIDENHAIN vTNC7's Feature-Based Programming and AI Chat Assistant
01What this official video is about
HEIDENHAIN's TNC-series controls hold a place in the mold and high-end milling world roughly like Swiss watches do in watchmaking. In September 2025 at EMO Hannover, its official channel published this video: the world premiere (Weltpremiere) of the vTNC7 programming system[1].
The claim in the official description boils down to one line: "From design to the first good part, noticeably faster." There are three means: Feature Based Programming, the Klartext Converter (program-compatibility conversion), and a KI-Chatbot that supports the whole process[1].
02Feature-based programming: straight from CAD to a Klartext program
Per the official description, vTNC7's workflow is: the user extracts holes and milling contours directly from the part's CAD data, overlays machining strategies on the extracted geometry, and the system generates Klartext (HEIDENHAIN's conversational program format)—described officially as "simple, fast, process-reliable"[1]. This is exactly a control-side implementation of the "design–manufacturing bridge" that CAPP research defines: letting geometric information reach the program without manual translation[2].
Two accompanying pieces are worth noting:
- Klartext Converter: the generated program can be converted to run on older-generation TNC controls without the corresponding option[1]—German makers are very pragmatic about the reality that "old machines don't get scrapped," and new programming capability isn't tied to new hardware.
- KI-Chatbot: every task is supported by an AI chatbot, and the company stresses "completely without jargon"[1]—folding learning cost into the product design too, exactly the same direction as the "democratizing programming" line in our Japan piece Mazak SmoothAi.
Set against the history of G-code (the address-word format defined by ISO 6983 has been unchanged for half a century[4]), the direction control makers have always evolved in isn't to change the language, but to take "writing the language" off the human's to-do list[3].
03Reading the signal: why a major control maker builds this
Readers who have followed this series to here will spot a pattern: Japan's Nakamura-Tome (machine-tool maker), Mazak (control + machine), the US's CloudNC (software vendor), and now Germany's HEIDENHAIN (control maker)—every position in the value chain is doing the same thing: compressing the manual "geometry → program" step and using AI to lower the operating barrier.
When competing major makers across countries bet on the same direction in unison, this is no longer trend forecasting—it's an accomplished fact. What it means for users: the question is no longer "whether to use AI-assisted programming," but "from which entry point"—control built-in (close to the machine), a CAM plug-in (close to the software), or a prep chain starting from the drawing (close to the order-intake workflow).
04The takeaway for Taiwan shops: the starting point decides the tool
vTNC7's starting point is CAD data—which fits Europe's industrial structure: design and manufacturing are mostly within the same system, and 3D data is readily available. The reality of Taiwan's job shops is different: what the customer sends is often a 2D drawing (DWG, PDF, even a photo), and the 3D model has to be built in-house—however fast feature programming is, you first need geometry to extract from.
| Entry point | Starting point | Best-fit scenario |
|---|---|---|
| Control built-in (vTNC7 etc.) | 3D CAD data | Single-control ecosystem, complete design data |
| CAM plug-in (CAM Assist etc.) | 3D model | Shops with a mature CAM workflow already |
| AI prep chain (BestAI CAM) | 2D drawings | Order intake: start the moment you receive the drawing—read the drawing → model → generate code per the shop's tool library and each machine's limits → simulate → dimensional cross-check |
The three aren't mutually exclusive—what a mixed-brand Taiwan shop most lacks is exactly that drawing-as-starting-point stage (see The Complete Guide to CNC Auto-Programming). And vTNC7's AI chat assistant teaches every tool vendor a lesson: lowering the barrier to use is itself a feature—which is also why we built the cutting simulation in the browser and made the verification report a format people can actually read. HEIDENHAIN users, keep an eye out for vTNC7's formal availability details; whichever entry point you end up choosing, the direction is the same one.
05FAQ
What is vTNC7's Feature Based Programming?
Per the official description: the user extracts features such as holes and milling contours directly from the part's CAD data, overlays machining strategies on them, and the system automatically generates a Klartext conversational program—removing the manual translation step of "reading the drawing to write the program." Paired with the Klartext Converter, the generated program can even be converted to run on older-generation controls that lack the corresponding option.
How do you choose between a control's built-in feature programming and a standalone AI CAM tool?
It depends on the starting point and the shop's structure: for a single-control ecosystem with complete 3D design data, the control's built-in solution sits closest to the machine; for a mixed-brand shop where customers mostly provide 2D drawings, you need a machine-neutral prep chain that starts from reading the drawing. The two can coexist—the front stage uses AI to read the drawing, model and generate code, outputting programs matched to each machine.
Why are major makers in every country building AI-assisted programming?
Because a consensus on the bottleneck has formed: machine capability is in surplus while programming talent is scarce, and the manual "geometry → program" step has become a double bottleneck on both output and talent. Japanese machine-tool makers, US software vendors and German control makers are attacking the same problem from their own positions—for users, the question has shifted from "whether to use it" to "from which entry point."
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START FROM THE DRAWING
Europe starts from CAD, Taiwan starts from the 2D drawing
AI reads DWG/PDF drawings, builds the 3D model, generates code for your shop's machines, then simulates and dimension-verifies—walk the same direction from your own order-intake starting point.
Contact an onboarding consultant Training courses06References
- HEIDENHAIN (YouTube). EMO 2025 in Hannover: Weltpremiere für das Programmiersystem vTNC7 von HEIDENHAIN (published 2025-09-25). youtube.com/watch?v=ERWDxr-yEyU
- Xu, X., Wang, L., & Newman, S. T. (2011). Computer-aided process planning — A critical review of recent developments and future trends. International Journal of Computer Integrated Manufacturing, 24(1), 1–31.
- Xu, X. W., & Newman, S. T. (2006). Making CNC machine tools more open, interoperable and intelligent — a review of the technologies. Computers in Industry, 57(2), 141–152.
- ISO 6983-1:2009. Automation systems and integration — Numerical control of machines — Program format and definitions of address words. ISO.