AI-Powered C API HTML docs from Google Drive headers with GPT-4o and Gmail Generation

Workflow overview

Why this workflow matters

Useful for software delivery and engineering operations. Relevant for managed services and support workflows.

🚀 Overview This AlekSystem workflow automatically generates professional API documentation from C header (.h) files using AI. It scans a Google Drive folder for header files, extracts the source code, sends it to GPT-4o for structured analysis, and generates a beautiful HTML documentation page. The final documentation is uploaded back to Google Drive and a completion email is sent. This workflow is ideal for embedded systems teams, firmware engineers, and SDK developers who want an automated documentation pipeline. ✨ Key Features ⚡ Fully automated documentation generation 📁 Reads .h files directly from Google Drive 🤖 Uses AI to analyze C APIs and extract documentation 📑 Generates clean HTML documentation 📊 Documents functions, types, enums, and constants 🔁 Processes files one-by-one for reliability ☁️ Saves generated documentation back to Google Drive 📧 Sends a completion email notification 🧠 What the AI Extracts The workflow automatically identifies and documents: 📘 Overview of the header file 🔧 Functions Signatures Parameters Return values Usage examples 🧩 Enumerations 🧱 Data Types & Structures 🔢 Constants / Macros 📝 Developer Notes 🖥 Generated Documentation The output is a clean developer-friendly HTML documentation page including: 🧭 Sidebar navigation 📌 Function cards 📊 Parameter tables 💻 Code examples 🎨 Professional developer layout Perfect for: Developer portals SDK documentation Internal engineering documentation Embedded system libraries ⚙️ Workflow Architecture | Step | Node | Purpose | |-----|-----|--------| | 1 | ▶️ Manual Trigger | Starts the workflow | | 2 | 📂 Get all files | Reads files from Google Drive | | 3 | 🔎 Filter .h files | Keeps only header files | | 4 | 🔁 Split in Batches | Processes files sequentially | | 5 | ⬇️ Download file | Downloads the header file | | 6 | 📖 Extract text | Extracts code content | | 7 | 🤖 AI Extraction | AI extracts API structure | | 8 | 🧹 Parse JSON | Cleans AI output | | 9 | 🎨 Generate HTML | Builds documentation page | |10 | ☁️ Upload to Drive | Saves documentation | |11 | 📧 Email notification | Sends completion email | 🔧 Requirements To run this workflow you need: 🔹 Google Drive OAuth2 credentials 🔹 OpenAI API credentials 🔹 Gmail credentials 🛠 Setup Guide 1️⃣ Configure Google Drive Create two folders. Source folder Output folder Update the folder IDs in the nodes: Get all files from folder Save documentation to Google Drive 2️⃣ Configure OpenAI Add an OpenAI credential in AlekSystem. Model used: The model analyzes C header files and returns structured API documentation. 3️⃣ Configure Gmail Add a Gmail OAuth credential. Update the recipient address inside: ▶️ Run the Workflow Click Execute Workflow. The workflow will: 1️⃣ Scan the Google Drive folder 2️⃣ Process each .h file 3️⃣ Generate HTML documentation 4️⃣ Upload documentation to Drive 5️⃣ Send a completion email 🖼 Documentation Preview 💡 Use Cases 🔧 Embedded firmware documentation 📦 SDK documentation generation 🧑‍💻 Developer portal automation 📚 C library documentation ⚙️ Continuous documentation pipelines 🔮 Future Improvements This workflow can be extended with several enhancements: 📄 PDF Documentation Export Add a step to convert the generated HTML documentation into PDF files using tools such as: Puppeteer HTML-to-PDF services AlekSystem community PDF nodes This allows teams to distribute documentation as downloadable reports. 🔐 Local AI for Security (Ollama / Open-Source Models) Instead of using the OpenAI node, the workflow can be modified to run fully locally using AI models such as: Ollama** Open-source LLMs (Llama, Mistral, CodeLlama)** These models can run on your own server, which provides: 🔒 Better data privacy 🏢 No external API calls ⚡ Faster responses on local infrastructure 🛡 Increased security for proprietary source code This can be implemented in AlekSystem using: HTTP Request node → Ollama API** Local AI inference servers Private LLM deployments 📚 Multi-Language Documentation The workflow could also support additional languages such as: .c .cpp .hpp .rs .go

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