3 projects for "python code editor" with 2 filters applied:

  • Enterprise AI Agents for Every Customer Moment Icon
    Enterprise AI Agents for Every Customer Moment

    For enterprise companies looking for AI Agents

    From chat to voice to SMS, every conversation gets a smart, personalized response powered by your policies, tone, and data.
    Learn More
  • QA Wolf | We Write, Run and Maintain Tests Icon
    QA Wolf | We Write, Run and Maintain Tests

    For developer teams searching for a testing software

    QA Wolf is an AI-native service that delivers 80% automated E2E test coverage for web & mobile apps in weeks not years.
    Learn More
  • 1
    GLM-OCR

    GLM-OCR

    Accurate × Fast × Comprehensive

    GLM-OCR is an open-source multimodal optical character recognition (OCR) model built on a GLM-V encoder–decoder foundation that brings robust, accurate document understanding to complex real-world layouts and modalities. Designed to handle text recognition, table parsing, formula extraction, and general information retrieval from documents containing mixed content, GLM-OCR excels across major benchmarks while remaining highly efficient with a relatively compact parameter size (~0.9B),...
    Downloads: 23 This Week
    Last Update:
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  • 2
    DeepSeek-OCR 2

    DeepSeek-OCR 2

    Visual Causal Flow

    DeepSeek-OCR-2 is the second-generation optical character recognition system developed to improve document understanding by introducing a “visual causal flow” mechanism, enabling the encoder to reorder visual tokens in a way that better reflects semantic structure rather than strict raster scan order. It is designed to handle complex layouts and noisy documents by giving the model causal reasoning capabilities that mimic human visual scanning behavior, enhancing OCR performance on documents...
    Downloads: 7 This Week
    Last Update:
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  • 3
    dots.ocr

    dots.ocr

    Multilingual Document Layout Parsing in a Single Vision-Language Model

    dots.ocr is a cutting-edge multilingual document parsing system built on a unified vision-language model that combines layout detection, text recognition, and structural understanding into a single architecture. Unlike traditional OCR pipelines that rely on multiple specialized components, dots.ocr integrates these processes end-to-end, reducing error propagation and improving consistency across tasks. The model is designed to recognize virtually any human script, making it highly effective...
    Downloads: 0 This Week
    Last Update:
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