“The #1 framework for AI-generated electronics.”
tscircuit is an open-source, code-based EDA framework that allows you to describe schematics and PCBs in React and TypeScript. From the code, the system generates schematic, PCB, 3D, and manufacturing views, among other things. AI assistants can interpret requirements, search for components, and generate the necessary tscircuit code.
tscircuit
The #1 framework for AI-generated music
Location: USA ⓘ tscircuit, Inc., 3106 25th Street, San Francisco, CA 94110, USA
Private Registry Use of a custom npm-compatible registry for internal components, files, and team collaboration.
External AI Providers AI requests can be processed via OpenAI and Anthropic; potential costs and quotas depend on the specific integration.
Target audiences
tscircuit is primarily aimed at electronics developers, makers, embedded teams, hardware startups, and software developers who want to treat hardware like software. The framework is particularly well-suited for users who are already familiar with TypeScript, React, Git, and automated development processes. For traditional designers who are accustomed exclusively to graphical EDA interfaces, some training will be required.
Outstanding features
The key feature is the ability to define complete electronics projects in React and TypeScript. A shared codebase can generate schematics, PCB layouts, 3D views, simulations, and manufacturing files. The official AI skill provides language models with the necessary contextual knowledge to search for components, write code, and iterate on designs. Git-based changes, visual diffs, programmable component libraries, and open data formats set tscircuit apart from traditional desktop EDA systems.
Key Areas of Application
Typical applications include the development of small and medium-sized printed circuit boards, reusable reference designs, rapid hardware prototyping, AI-assisted circuit generation, automated variant creation, and the integration of electronics design into software CI/CD processes. Manufacturing data such as Gerber files, bill of materials, and pick-and-place files can then be exported or used for an integrated prototype order.
Usage & Notes
Projects are primarily written in TypeScript or JSX-like syntax. Despite AI support, the resulting circuits should be reviewed, simulated, and subjected to a design rule and plausibility check by qualified electronics engineers prior to manufacturing. For confidential projects, the local CLI is preferable to an unverified transfer to external AI providers.
| Target audience | Assessment |
|---|---|
| Individuals / Makers | Yes, if you have programming skills—suitable for open-source hardware, prototypes, and your own PCB projects. |
| Self-employed / Freelancers | Yes – useful for rapid electronics prototyping, reusable circuit modules, and AI-assisted PCB development. |
| SMEs | Conditionally yes – of interest for hardware startups and small development teams; governance, data protection, and platform maturity should be evaluated. |
| Large enterprises | To a limited extent – local use and private package registries are possible, but publicly documented enterprise, SSO, or compliance features are lacking. |
| Developers / Hardware Teams | Very well suited – the core target audience is developers who treat electronics like software and want to use version control, TypeScript, React, and AI assistants. |
| Education / Universities | Well-suited – Open source, programmable, and interesting for learning PCB, circuit, and automation workflows. |
| Non-technical users | Not really – Without knowledge of TypeScript, React, or electronics, it is significantly more challenging than traditional graphical EDA programs. |
| Organizations with data protection concerns | To a limited extent – local operation is possible; however, online and AI services are operated in the U.S. and use OpenAI or Anthropic. |
Fact-based AI assessment:
AI tool: Yes, with limitations. AI component: medium. Impact on overall functionality: medium to high.
tscircuit describes itself as a framework for AI-generated electronics and provides a special “skill” integration that allows AI assistants to search for components, write tscircuit code, and iterate on designs. However, the technical core—React/TypeScript components, rendering, SPICE simulation, exports, and autorouting—also functions without generative AI. AI is therefore an important means of creation and operation, but not the sole foundation of the product.
Hosting & Data
1) On-prem / local hosting
Meaning: The company operates the solution on its own hardware or within its own infrastructure. In the strictest sense, not only the application runs locally, but ideally the model as well.
2) Private cloud / data center
Meaning: The solution runs in a dedicated or more clearly separated cloud environment, often with a hosting provider or hyperscaler, but in a German data center or in a particularly controlled environment.
3) EU SaaS / managed
Meaning: The provider operates the solution itself as a service. The company uses the tool as a ready-made cloud service, ideally with EU data residency.
4) Hybrid
Meaning: One part of the processing remains internal / local / in a private cloud, while another part runs in an external cloud or EU SaaS.
5) AVV / DPA
Meaning: This is the data processing agreement or Data Processing Addendum. It governs that the provider processes personal data on behalf of the customer and is bound by the customer's instructions.
6) No training
Meaning: The provider does not use your prompts, uploads, attachments, chat histories, or outputs for training or improving the general model — ideally excluded by contract.
7) Open-source / transparency path
Meaning: There is a path toward greater technical transparency and sovereignty, for example through:
- open models
- documented components
- self-hostable parts
- traceable architecture
- export / switching options
| On-prem / local hosting | ✅ |
| Private cloud / data center | ⚠️ |
| EU SaaS / Managed | ❓ |
| Hybrid | ✅ |
| DPA / AVV | ❓ |
| No training on customer data | ❓ |
| Open source / transparency path | ✅ |
Overall assessment:
A flexible open-source model featuring local operation, an online editor, a component registry, and external AI integration. tsCircuit can be installed locally and used as an open-source toolchain. Additionally, an online editor, a component registry, hosting and ordering functions, as well as AI-assisted electronics development are available. The project is MIT-licensed; designs are created as React/TypeScript code and can be managed in version control systems.
Data Processing: During online operation, account, contact, device, IP, payment, and project data may be processed. For payments, tsCircuit lists Stripe and Lemon Squeezy. For AI functions, prompts, outputs, and associated personal data may be transmitted to OpenAI or Anthropic. An explicit non-training commitment from the involved AI providers for all tsCircuit uses is not publicly documented: No verified information available.
Local and private operation: The open-source toolchain can be run locally. Additionally, tsCircuit supports npm-compatible private registries, allowing internal components and files to be managed outside the public registry. Full on-premise hosting of the official web platform or a documented enterprise air-gap mode is not documented.
Conclusion:
The most privacy-friendly use is local deployment with a private repository and without an external AI chat. Public online operation is simpler but involves US hosting and external AI data flows.
| On-prem / local hosting | ✅ |
| Private cloud / data center | ⚠️ |
| EU SaaS / Managed | ❓ |
| Hybrid | ✅ |
| DPA / AVV | ❓ |
| No training on customer data | ❓ |
| Open source / transparency path | ✅ |
Overall assessment:
A flexible open-source model featuring local operation, an online editor, a component registry, and external AI integration. tsCircuit can be installed locally and used as an open-source toolchain. Additionally, an online editor, a component registry, hosting and ordering functions, as well as AI-assisted electronics development are available. The project is MIT-licensed; designs are created as React/TypeScript code and can be managed in version control systems.
Data Processing: During online operation, account, contact, device, IP, payment, and project data may be processed. For payments, tsCircuit lists Stripe and Lemon Squeezy. For AI functions, prompts, outputs, and associated personal data may be transmitted to OpenAI or Anthropic. An explicit non-training commitment from the involved AI providers for all tsCircuit uses is not publicly documented: No verified information available.
Local and private operation: The open-source toolchain can be run locally. Additionally, tsCircuit supports npm-compatible private registries, allowing internal components and files to be managed outside the public registry. Full on-premise hosting of the official web platform or a documented enterprise air-gap mode is not documented.
Conclusion:
The most privacy-friendly use is local deployment with a private repository and without an external AI chat. Public online operation is simpler but involves US hosting and external AI data flows.
Strengths & weaknesses at a glance
| Strengths | Weaknesses |
|---|---|
| • Open-source core licensed under the MIT License | • Code-based operation requires a working knowledge of TypeScript and React. |
| • Highly versionable hardware definitions | • The workflow is unfamiliar to traditional EDA users. |
| • Suitable for agent-based and AI-driven development | • The level of maturity and the ecosystem are less developed than those of long-established EDA suites. |
| • Local CLI usage supported | • AI results must be verified from an electrical engineering perspective. |
| • Reusable circuits as software packages | • There is a lack of public information regarding commercial platform pricing, SLAs, support tiers, and enterprise contracts. |
| • Simulation, manufacturing export, and component search in a single toolchain | • When using the hosted AI features, data is processed with OpenAI or Anthropic, according to the privacy policy. |
| • Good integration with developer and Git workflows |
Reviews
0 reviews in total
There are no confirmed reviews for this tool yet.
Submit review
Your review will only become visible after email confirmation. This protects the portal against abuse.
Report review
Please select the reason why this review should be checked.
GDPR-compliant usage possible?
Overall assessment:
On the positive side, tsCircuit has published a detailed privacy policy that outlines the legal basis for EU users, data subject rights, account deletion, and technical and organizational security measures. Personal data is generally only stored for as long as an active account exists or as required by legal obligations. Users can request access, correction, or deletion via a dedicated privacy form.
On the negative side, tsCircuit Inc. is headquartered in San Francisco, and according to the Terms of Service, the services are hosted in the U.S. When using the AI features, inputs, outputs, and, where applicable, personal data are shared with external AI service providers. The privacy policy explicitly names OpenAI and Anthropic as AI service providers. Additionally, cloud, storage, analytics, authentication, and payment service providers may be used.
Server location: USA for the hosted services. A publicly available DPA for European business customers, EU data residency, standard contractual clauses, or a complete list of subprocessors by name were not found: No reliable information available.
Conclusion: tsCircuit is well-suited for public open-source projects and non-confidential electronic designs. For proprietary circuits or personal data, it is preferable to work locally, use a private package registry, and review the external AI integration separately. Confidential project details should not be transmitted to the integrated AI chat without prior review.