Edit Banana: The Open-Source AI That Transforms Screenshots Into Editable Diagrams

A new open-source AI tool is poised to revolutionize how professionals work with technical diagrams, flowcharts, and architectural schematics. Called Edit Banana, this innovative application allows users to upload a screenshot of any diagram and receive a fully editable DrawIO XML file within seconds—preserving every shape, arrow, icon, and text element with remarkable accuracy.

How Edit Banana Works

According to developer announcements, Edit Banana employs a sophisticated multi-stage AI pipeline to achieve its transformative results. The process begins when a user uploads a screenshot of any flowchart, architecture diagram, or technical schematic.

The system first utilizes SAM 3 (Segment Anything Model 3) to perform pixel-perfect segmentation of every visual element in the image. This foundational computer vision model identifies and isolates each shape, arrow, and icon with precision that reportedly exceeds traditional detection methods.

Next, multimodal large language models scan the segmented image in four distinct passes to ensure no element is overlooked. This layered approach addresses the common problem of AI systems missing subtle or overlapping components in complex diagrams.

Simultaneously, optical character recognition (OCR) technology extracts all text from the image. Notably, Edit Banana goes beyond basic text recognition by converting mathematical formulas into LaTeX format—a crucial feature for technical and scientific documentation.

The final output is a native .drawio XML file where every element remains draggable and editable, essentially recreating the original diagram in a professional diagramming tool format without any loss of editability.

The Problem It Solves

For years, professionals across software development, engineering, academia, and business have struggled with a common workflow bottleneck: encountering a useful diagram in documentation, presentations, or research papers that they need to adapt or build upon, only to find it's trapped in an uneditable image format.

The traditional solution has been manual recreation—a tedious process of redrawing shapes, reconnecting arrows, and retyping text that can consume hours for complex diagrams. Alternative approaches like screenshotting diagrams inevitably sacrifice editability, creating downstream limitations for collaboration and iteration.

Edit Banana directly addresses this pain point by automating the conversion process while maintaining the structural integrity and editability of the original visual content.

Technical Significance

Several technical aspects make Edit Banana particularly noteworthy. The integration of SAM 3 represents a practical application of Meta's advanced segmentation research in a production-ready tool. The four-pass multimodal LLM scanning approach suggests sophisticated error-correction mechanisms that likely reduce the hallucination and omission problems common in single-pass AI vision systems.

The LaTeX conversion capability indicates specialized training for technical and scientific contexts, while the DrawIO XML output demonstrates thoughtful consideration of real-world workflow integration. DrawIO (now diagrams.net) is a popular, free diagramming tool used by millions, making the output immediately usable without proprietary software dependencies.

Open-Source Advantage

Perhaps most significantly, Edit Banana is released under the Apache 2.0 license and has already garnered 566 stars on its repository (as reported in the source material). This open-source approach has several implications:

1. Accessibility: Anyone can use, modify, and distribute the tool without licensing fees
2. Transparency: The entire AI pipeline is inspectable, addressing growing concerns about black-box AI systems
3. Community Development: Developers can contribute improvements, adapt the tool for specific use cases, or integrate it into larger systems
4. Enterprise Adoption: The permissive license removes barriers for corporate implementation

The open-source model also facilitates rapid iteration and improvement as the community identifies edge cases and develops enhancements.

Potential Applications

Edit Banana's utility spans numerous domains:

• Software Development: Converting architecture diagrams from documentation into editable formats for modification
• Academic Research: Extracting and modifying methodology flowcharts from published papers
• Business Process: Editing organizational charts and workflow diagrams from presentations
• Engineering: Adapting technical schematics for new projects
• Education: Creating interactive, modifiable versions of textbook diagrams for teaching materials

Limitations and Considerations

While the technology appears promising, several questions remain unanswered in the initial announcement. The accuracy rate across different diagram types and complexities hasn't been quantified. Performance with handwritten diagrams or low-quality screenshots may present challenges. The computational requirements for running the tool locally versus through a service haven't been specified.

Additionally, copyright considerations deserve attention when converting diagrams from published materials, though the tool itself is format-agnostic regarding source legitimacy.

The Future of AI-Assisted Diagramming

Edit Banana represents a significant step toward seamless human-AI collaboration in visual documentation. By bridging the gap between static images and editable vector graphics, it demonstrates how specialized AI tools can eliminate tedious manual work while preserving creative control.

As the tool evolves, potential enhancements might include support for additional output formats (Visio, Lucidchart, Miro), integration with screenshot tools and browsers, and collaborative features for team diagram editing.

The development also highlights a broader trend toward purpose-built AI tools that solve specific professional problems rather than attempting generalized intelligence. This focused approach often yields more immediately useful results than broader AI systems.

Source: Based on announcements from developer @hasantoxr on X/Twitter regarding the Edit Banana open-source project.