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4 months ago
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Oomol Studio makes it easy to connect code snippets and API services through intuitive visual interactions
Use Case
OOMOL enables flexible construction of structured and unstructured data workflows through free node combination.
Structured Data
Data Science
OOMOL natively supports Python/JS for data processing and chart generation, featuring built-in AI function nodes and large model APIs for creating modern AI analytics workflows.
Unstructured Data
Media Processing
OOMOL allows developers to create customizable video processing nodes, enabling content creators to automate tasks like multilingual subtitling through drag-and-drop workflows.
Features
Easy drag-and-drop workflows, professional code editor, and elegant data visualization.
Intuitive interaction
Easily build workflows, flexibly configure nodes, and preview data.
Developer-friendly
Built-in Python & Node.js, VSCode-based with AI and clear logs.
Pre-installed environment
No installation needed; OOMOL uses containers for seamless workflow sharing.
Community sharing
Publish as source code for easy secondary development by others.
Block sharing
Publish as a block for easy use by others, like the npm community.
Start With A Project
Explore the Community to find a workflow that fits your needs.
Video TranslaterTranslate and add subtitles
PDF CraftOOMOL Starter with pdf-craft
FFmpegVideo processing with FFmpeg
Data LabData analysis with pandas & plotly.
Stock AnalysisStock analysis and backtesting.
TransformCommon data conversion.
Tiny PNGImages Compression
Voice RecognitionConvert PDFs to machine-readable formats.
WhisperRecognizes voices from audio.
SiliconFlowVarious feature sets of the SiliconFlow platform
V2EX LotteryUsed for the V2EX lottery
Manga TranslatorTranslate Manga pics & PDF
Built-in LLM Module
Built-in LLM blocks for improved AI workflow efficiency.
Ready to get started?
Oomol Studio makes it easy to build workflows by visually connecting code and APIs.
