Tersa – A free AI workflow construction platform that allows you to connect workflows via drag – and – drop

AI Tools updated 3w ago dongdong
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What is Tersa

Tersa is a free and open-source AI workflow builder that enables users to quickly create and run AI workflows through a simple and intuitive drag-and-drop interface. It supports up to 77 top-tier AI models, including GPT-4o, Claude 3.5 Sonnet, DALL·E 3, and Whisper, covering a wide range of tasks such as text generation, image and video creation, audio transcription, and code optimization.
Users can easily design complex workflows by dragging and dropping files to generate nodes—no need to write code or have deep technical knowledge.

Tersa – A free AI workflow construction platform that allows you to connect workflows via drag - and - drop


Key Features of Tersa

  • Visual Workflow Builder: Users can create and run workflows by connecting nodes via drag-and-drop, building AI-powered processes using leading models from different domains.

  • Support for Multiple AI Models: The platform supports 77 top AI models, including GPT-4o, Claude 3.5 Sonnet, DALL·E 3, and Whisper, enabling a wide range of tasks such as text generation, image and video creation, audio transcription, and code optimization.

  • File Drag-and-Drop Functionality: Users can drag and drop files to automatically generate nodes, simplifying the design process of complex workflows.


Tersa Official Website


Application Scenarios for Tersa

  • Text Processing: Users can leverage integrated AI models such as GPT-4o and Claude 3.5 Sonnet for preprocessing, analyzing, and summarizing text data.

  • Automated Content Generation: Build automated workflows that generate images, videos, or text content based on input prompts.

  • Code Review and Refactoring: Connect code and text nodes to let AI models analyze codebases, identify areas for improvement, and automatically perform refactoring.

  • Rapid Prototyping: During product development, Tersa helps developers quickly build and test AI functionalities, accelerating iteration cycles.

  • Function Integration: By connecting different AI models, developers can integrate multiple capabilities within a single platform—for example, processing text, images, and audio simultaneously in one application.

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