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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
    2. Developers
    3. BIT-DataLab

    BIT-DataLab

    BIT DataLab is a research group at the School of Computer Science, Beijing Institute of Technology, focused on data management, database systems, data-centric AI, large language models, data lakes, graph and spatio-temporal data, distributed processing, and intelligent data analysis. It builds practical systems, open-source tools, datasets, and benchmarks; Edit-Banana/EditFigure applies that research to converting static figures and visual content into editable assets.

    Visit Website

    At a Glance

    1Tool Listed
    2Products
    10Capabilities
    Discussions
    Beijing Institute of Technology, BeijingHeadquarters
    Focus Areas
    Design Resources
    Image
    Content Generation
    Connect
    Latest News
    Latest recorded Edit-Banana repository commit added uploaded files; online service is presented as EditFigure with SAM 3 and multimodal-LLM processing.Sep 23, 2026
    README revised with faculty-section formatting and links.Jun 28, 2026
    Markets
    • Researchers and academic writers
    • Teachers and course creators
    • Developers and product managers
    • Technical-documentation and training-materials teams
    • +1 more

    AI Tools by BIT-DataLab

    (1)
    View Edit Banana
    Edit Banana tool icon

    Edit Banana

    Image to Editable Diagram Converter

    Design ResourcesImageContent Generation

    Discussions

    No discussions yet

    Be the first to start a discussion about BIT-DataLab

    Latest News

    09/23/2026

    Latest recorded Edit-Banana repository commit added uploaded files; online service is presented as EditFigure with SAM 3 and multimodal-LLM processing.

    github.com
    06/28/2026

    README revised with faculty-section formatting and links.

    github.com
    06/05/2026

    Chinese README updated.

    github.com
    03/13/2026

    Documentation and setup update added SAM3 setup, setup scripts, PaddleOCR option, and configuration improvements.

    github.com

    Products & Services

    2
    Edit-Banana
    February 5, 2026

    Open-source framework that converts static figures, diagrams, formulas, images, and PDFs into editable DrawIO XML, SVG, or PPTX content.

    EditFigure

    Web service at editbanana.net for uploading images and reconstructing editable diagrams. It offers an all-elements-editable mode and a text-editable mode, with high-definition export.

    Market Position

    BIT DataLab positions Edit-Banana/EditFigure as an open-source, research-driven universal content re-editor rather than a conventional drawing tool: it combines fine-tuned SAM3 segmentation, multimodal-LLM scanning, OCR, and reconstruction to produce independently editable diagram elements. Comparable work in the editable-figure/illustration space includes Paper2Any, PaperBanana, and AutoFigure-Edit; Edit-Banana differentiates around static-image/PDF-to-DrawIO/SVG/PPTX reconstruction and an available self-hostable open-source core.

    Leadership

    Executive Team

    GW

    Guoren Wang

    Professor and doctoral supervisor; Edit-Banana lab leader

    Beijing Institute of Technology professor whose listed research areas include database systems, uncertain data management, multimedia data management, and distributed query processing.

    YY

    Ye Yuan

    Professor and doctoral supervisor; Edit-Banana lab leader

    Beijing Institute of Technology professor whose listed research areas include big-data management, graph data management, spatio-temporal data, and distributed computing.

    Founding Story

    The project was started to address the problem that charts, diagrams, formulas, and other content embedded in static images or PDFs cannot be directly edited. Its initial vision was a universal content re-editor that uses segmentation, multimodal model scanning, and OCR to reconstruct the original layout and relationships in editable DrawIO, SVG, or PPTX formats.

    Business Model

    Revenue Model

    The online service uses a credit-based, pay-per-use model: users can try recognition/editing without signing in, while signing in and spending credits is required for exporting. The repository README says registration provides 10 free credits and that usage-based billing is intended to prevent resource abuse.

    Pricing Tiers

    Guest trial
    Free to try

    Upload an image or choose a sample without signing in; the homepage says export requires sign-in and credits.

    Credit-based processing
    100 credits per processing mode shown on the homepage

    The homepage lists All Elements Editable and Text Editable modes as consuming 100 credits; no currency price list was published in the fetched sources.

    Target Markets

    Industries & Segments
    • Researchers and academic writers
    • Teachers and course creators
    • Developers and product managers
    • Technical-documentation and training-materials teams
    • Learners and researchers interested in SAM, multimodal VLMs, OCR, and editable graphics
    Use Cases
    • Making figures from research papers and reports editable
    • Converting flowcharts, architecture diagrams, technical schematics, and formula diagrams into DrawIO, SVG, or PPTX
    • Converting PDF lecture notes or other PDFs into editable presentation slides
    • Unifying textbook and lecture diagrams into reusable styles and templates
    • Turning design mockups or screenshots into editable diagrams
    • Maintaining technical documentation and training materials

    Quick Facts

    Headquarters
    School of Computer Science, Beijing Institute of Technology, Beijing, China
    Entity Type
    University research group
    Office Locations
    School of Computer Science

    History & Milestones

    February 5, 2026

    The Edit-Banana repository records its initial commit, establishing the algorithm pipeline for image-to-DrawIO conversion.

    February 28, 2026

    The repository added its LICENSE file and documents the project under the GNU Affero General Public License v3.0 on GitHub's rendered license page; the README separately describes the project as Apache License 2.0, indicating a license-documentation inconsistency.

    March 13, 2026

    Documentation and setup materials were expanded to cover SAM3 setup, setup scripts, a PaddleOCR option, configuration, and deployment improvements.

    June 28, 2026

    The project README was revised, including faculty-section formatting and links.

    September 23, 2026

    The GitHub repository records a latest commit adding uploaded files; the online service presents the product under the EditFigure name with SAM 3 and multimodal-LLM capabilities.

    Key Capabilities

    10
    Fine-tuned SAM 3 segmentation for diagram-element masks
    Fixed multi-round scanning guided by multimodal LLMs such as Qwen-VL and GPT-4V
    OCR and formula recognition, including LaTeX conversion
    Azure Document Intelligence/OCR with VLM fallback in the documented service pipeline
    Crop-guided high-resolution recognition for text and formula regions
    Preservation of layout logic, color matching, element hierarchy, shape stroke/fill, and arrow styles

    Integrations & Partnerships

    Platform Integrations

    • Web application at https://www.editbanana.net/
    • GitHub repository and self-hosted local deployment
    • DrawIO XML and native DrawIO editing workflows
    • SVG and PPTX export in the current web-service description
    • React frontend and FastAPI backend
    • CLI via main.py for local or batch processing
    • Azure OCR/Document Intelligence, with multimodal VLM options including Qwen-VL, GPT-4V, and Mistral Vision described in the project materials

    Connect

    Website
    editbanana.net
    GitHub
    BIT-DataLab

    AI Topics

    3

    BIT-DataLab focuses on these topics:

    Design Resources(1)
    Image(1)
    Content Generation(1)
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