Appy Pie AI Granted US Patent for Building Apps Through Natural Language Conversations
Appy Pie AI has been granted U.S. Patent No. 12,737,158 B2 for technology that enables users to create, refine, and deploy applications through conversational voice and text instructions using natural language processing.
The way people interact with technology has changed dramatically over the past few years. We increasingly expect software to understand what we want rather than requiring us to learn precisely how the software works. At Appy Pie AI, that principle has long shaped our approach to no-code development: building software should begin with an idea, not with learning a programming language. That vision has now reached an important milestone.
On September 15, 2026, the United States Patent and Trademark Office granted Appy Pie LLP U.S. Patent No. 12,737,158 B2, titled “Automated No-Code Coding of App-Software Using a Conversational Interface and Natural Language Processing.” The patent names Appy Pie AI founder Abhinav Girdhar as the inventor and Appy Pie LLP as the assignee. The USPTO record confirms that the patent contains 10 claims and stems from an international patent application filed on June 7, 2021. But the more interesting story isn’t simply that a patent was granted.
It’s what the patent describes: a fundamentally more natural way for people to build software.
Table of Contents
- From Learning to Build an App to Describing One
- How the Patented App Building Process Works
- The System Can Learn During the Conversation
- Turning Conversation Into App Features
- Voice Is an Important Part of the Invention
- Accessibility Was Built Into the Conversational Approach
- Why the June 2021 Filing Date Is Significant
- Conversation as the Development Interface
- An Iterative Conversation for App Development
- Why Natural Language Matters for No Code
- From No Code to AI App Creation
- What the Patent Describes
- The Future of Building Software Is Increasingly Conversational
From Learning to Build an App to Describing One
Traditional software development requires users to translate an idea into code. No-code development removed much of that requirement by introducing visual interfaces, templates, configuration panels, drag-and-drop components, and prebuilt features. Conversational app development takes the idea one step further. Instead of asking: “How do I configure the software to build what I want?” the interaction can increasingly become: “Here is what I want to build.” The system then has to understand that request and translate it into something the app builder can act upon.
That relationship between human language and software generation is central to Appy Pie’s patent. The patent describes a platform and system for automated no-code development using a conversational interface powered by Natural Language Understanding (NLU) and Natural Language Processing (NLP). It contemplates the technology operating through a website or standalone application and using a Natural Language Engine to help power the creation and editing of no-code applications. In practical terms, instead of manually navigating through every setting required to create an application, a user can communicate what they want in ordinary language.
The system can then interpret those instructions and translate them into actions within the app-building environment.
How the Patented App Building Process Works
The first independent claim of the patent lays out a clear sequence. A user begins a conversational session by making a request to create an application. The system then uses an NLP engine to identify the user’s intent and relevant entities contained in that request. Based on that understanding, a no-code generation module generates the app software product. The application can then be deployed to a live environment after the user provides confirmation. Conceptually, the process looks like this:
Request → Interpret intent and entities → Generate → Confirm → Deploy
This is an important distinction. The conversational interface isn’t merely functioning as a search box or a help chatbot sitting beside an app builder. According to the claims, natural-language interaction forms part of the actual application-generation workflow. The patent further describes confirming app features with the user through that conversational interface before the application is generated. So the conversation can become part of both creation and confirmation.
The System Can Learn During the Conversation
One particularly interesting element of the patent concerns what happens when the system doesn’t initially interpret the user’s request exactly as intended. Human communication is rarely perfectly structured. A business owner might say:
“I want customers to be able to call us.”
Someone else might describe exactly the same requirement as:
“Add a phone button.”
Another user could simply say:
“Put our number on the app so people can contact us.”
From the user’s perspective, these requests are closely related. From a software system’s perspective, however, the challenge is determining the intent behind the language and mapping it to an appropriate app feature. The patent specifically addresses this problem. Claim 1 states that the NLP model can be continuously updated during the conversational session based on user corrections or confirmations, dynamically improving subsequent intent recognition. Claim 2 further covers refining NLP model weights or keyword mappings in real time based on feedback or clarification during the conversation.
The patent specification provides a practical example around adding a calling feature. A user might ask to “add a phone call” or say that the app needs a way for users to call the business. The Natural Language Understanding system can interpret that language in the context of the available features and translate the request into the relevant action within the app builder. This moves the interaction away from forcing people to learn the platform’s terminology. Instead, the objective is for the platform to increasingly understand the user’s terminology.
Turning Conversation Into App Features
This translation layer is crucial to conversational software creation. An app builder contains defined capabilities: pages, features, actions, fields, navigation structures and other configurable components. Humans don’t naturally think in those terms. For illustration, a restaurant owner might say: “I want customers to order food from the app.” A gym owner might say: “Let members book their classes.” A retailer might ask: “Can customers get a notification when we launch a sale?” The technical challenge is to determine what the user intends and then map that intent to the capabilities available within the app-building system.
The patent describes a conversational interface capable of mapping natural-language phrases to corresponding features within the app builder, ultimately producing an application that the user can test on a device. That connection between natural language and executable no-code actions represents one of the core ideas behind the invention.
Voice Is an Important Part of the Invention
Conversational computing doesn’t necessarily mean typing into a chat window. The patent goes considerably further by describing voice-based interaction with the app-building environment. The specification describes a Natural-Language Editing Module, including a Natural Language Engine enabling tool and a Voice Recognition & Breakdown Module using Natural Language Understanding. Voice input can be processed into commands that the editing module uses while creating the application. The patent describes three interaction modes. These are descriptions of the patented approach, rather than a statement that every mode is available in every current product configuration:
Blind Mode
Blind Mode is designed as a fully aural experience. The system can communicate information audibly and receive spoken instructions from the user, allowing interaction with the app-building process without relying exclusively on a visual interface.
Voice Enabled Mode
Voice-Enabled Mode combines conventional text input with spoken interaction. A user can therefore interact with the editor through both typing and voice.
Friend Mode
Friend Mode provides a more guided experience using help and automated communications to assist the user through the process. These three modes appear both in the patent specification and its claims. The result is a broader conception of no-code development: removing programming isn’t necessarily enough. The interface itself can also become easier and more natural to navigate.
Accessibility Was Built Into the Conversational Approach
The voice-oriented architecture has another important implication: accessibility. Most traditional development environments—and even many visual no-code environments—depend heavily on screens, menus, icons, panels and visual navigation. The patent describes an alternative interaction model in which app creation can, in one mode, operate using solely aural data. The specification goes into further detail about a solicitation module capable of reading parts of the no-code interface to users and requesting spoken information in return. That means conversational technology can potentially remove more than the coding barrier. It can also reduce reliance on traditional visual interfaces.
For Appy Pie AI, the broader objective is straightforward: technology creation should become accessible to a wider range of people, regardless of their programming knowledge or preferred way of interacting with software.
Why the June 2021 Filing Date Is Significant
One of the most noteworthy parts of the patent’s history is its timeline. The international application underlying the U.S. patent was filed on June 7, 2021, as PCT/IB2021/000388. It was subsequently published as WO2022/259005 on December 15, 2022. The U.S. application entered the national stage on December 7, 2023 and was published as US 2024/0272877 A1 on August 15, 2024. The U.S. patent was ultimately issued on September 15, 2026.
That chronology documents Appy Pie’s work on conversational no-code software development as early as June 2021. It provides context for the September 2026 grant and the approach described in the patent. The underlying idea was already clearly articulated: allow a person to communicate naturally with a system that can interpret those instructions and use them to help create software.
Conversation as the Development Interface
There is an important difference between adding AI chat to a software product and making conversation part of the software-development process itself. A chatbot can answer: “How do I add a contact feature?” A conversational app-building system aims to respond to: “Add a way for my customers to contact me.” Those interactions may sound similar, but technically they are very different. The first provides information. The second requires the system to understand an instruction, determine its intent, map it to an available capability and perform an action within the software-generation environment.
That is why the patent’s combination of NLP, intent recognition, no-code generation, confirmation and deployment is particularly relevant to the direction in which AI software development is moving. The USPTO’s published claim describes receiving the conversational request, parsing it through NLP, identifying intent and entities, generating the application through a no-code module, obtaining confirmation and deploying it to a live environment.
An Iterative Conversation for App Development
Another way to understand the technology is to compare the interaction models. A traditional application-development process might look like:
Requirement → Specification → Design → Coding → Testing → Revision → Deployment
No-code significantly compresses that process. Conversational no-code can potentially make the interaction even more direct:
Describe → Generate → Review → Correct → Confirm → Deploy
And because the patent includes updating the NLP model based on corrections and confirmations during the session, the interaction can become iterative. A user doesn’t necessarily need to formulate the perfect instruction on the first attempt. They can communicate, inspect the result, clarify their intention and continue. That resembles how people naturally collaborate with one another.
Why Natural Language Matters for No Code
No-code platforms have already removed one major barrier to software development: programming syntax. But interfaces themselves can still require learning. Users may need to understand which feature to choose, where a setting is located, what a particular field means or which sequence of steps will produce the result they want. Natural-language interfaces offer a different possibility. Instead of learning the structure of the software first, users can begin with the outcome they want to achieve. The platform takes on more of the responsibility for translating that outcome into configuration and functionality.
This represents a natural extension of the no-code philosophy. First, software development moved from:
code → visual interfaces
Now AI increasingly enables the next transition:
visual interfaces → conversational interfaces
The objective is not simply to make programming faster. It is to make the underlying complexity increasingly invisible to the person with the idea.
From No Code to AI App Creation
For Appy Pie AI, conversational development is part of a broader evolution of no-code. The company has progressively incorporated AI into the process of turning user ideas into applications. The newly issued patent documents foundational concepts around conversational interfaces, natural-language understanding, voice interaction, app generation, confirmation and deployment. The goal is increasingly simple from the user’s perspective: Describe what you want to build and allow AI and no-code technology to handle more of the technical work required to create it. That can change who is able to participate in software creation.
An entrepreneur doesn’t necessarily need to become a programmer before testing an idea. A restaurant doesn’t need an internal engineering team simply to explore a mobile experience for customers. A teacher shouldn’t need to understand software architecture before experimenting with an educational application. And a small business owner shouldn’t have to translate every business requirement into technical terminology before attempting to build software. Their expertise lies in understanding their business and their customers. The development platform’s job is increasingly to understand them.
What the Patent Describes
U.S. Patent No. 12,737,158 B2 contains 10 claims covering method and system implementations of conversational app generation. Across the independent and dependent claims, the patent describes the following elements in combination:
- receiving a request to create an application through a conversational interface;
- using NLP to identify the user’s intent and entities;
- generating an application through a no-code generation module;
- confirming features conversationally;
- deploying the resulting application after receiving confirmation;
- updating the NLP model during the conversation based on corrections and confirmations;
- refining model weights or keyword mappings based on feedback; and
- supporting Blind, Voice-Enabled and Friend interaction modes.
Together, these claims describe a system where natural language is not merely used to explain software development—it becomes an interface through which software can actually be generated.
The Future of Building Software Is Increasingly Conversational
For decades, creating software meant learning how computers communicate. Programming languages provided the vocabulary. Development environments provided the interface. Frameworks provided the structure. No-code changed that relationship by making software development more visual. Artificial intelligence is now changing it again. The computer can increasingly be expected to understand how humans communicate. That shift has implications far beyond app development. It points toward a world where the distance between an idea and working software becomes progressively smaller. Instead of asking users to understand the mechanics of software creation, the platform can ask a much simpler question:
What would you like to build? The user explains. The system interprets. The application takes shape. And the conversation continues until the result reflects what the user intended. That is the future Appy Pie AI has been working toward—and U.S. Patent No. 12,737,158 B2 represents an important milestone in that journey.
Building Technology for Everyone
Appy Pie AI was built around the idea that technological creation should not be limited to people who know how to code. AI is allowing that principle to go considerably further. Removing code was one step. Reducing the need to learn complex interfaces is another. Making software creation as intuitive as describing an idea may be the next. As conversational AI continues to evolve, Appy Pie AI will continue working toward a world where the ability to create technology is limited less by technical knowledge and more by imagination.
Because ultimately, creating an app should start with the most natural interface humans have ever had: a conversation.
Patent Source
Patent details were checked against the supplied grant PDF, appypie-patent (2).pdf: US 12,737,158 B2, issued September 15, 2026. Bibliographic details appear on the patent front page; the conversational and voice architecture is described in columns 17–22; the ten granted claims appear in columns 22–24. Business examples in this article illustrate the approach described in the patent.
Aasif Khan
Head of SEO and Growth Marketing Lead at Appy Pie AI with 17+ years in digital marketing, AI-powered optimization, and scalable growth strategies.
Abhinav Girdhar
Founder and CEO of Appy Pie AI. Builder of one of the world’s largest no-code and AI platforms, with 10M+ apps and websites created.