This repository provides a collection of practical examples and guides for utilizing the VLM Run Platform, targeting developers and researchers who need to extract structured data from visual content. It showcases real-world applications of Vision Language Models (VLMs) for tasks like document analysis, video transcription, and image search, enabling efficient and structured visual understanding.

How It Works

The cookbook demonstrates the VLM Run Platform's capabilities through a series of Colab notebooks. These examples leverage VLMs to process images, videos, and documents, extracting specific information based on user-defined schemas or common use cases. The platform's approach focuses on structured visual understanding, allowing for precise data extraction and analysis across diverse domains.

Quick Start & Requirements

• Examples are provided as Colab notebooks, accessible via direct links within the repository.
• Requires an account and API access to the VLM Run Platform.
• No local installation is strictly necessary to run the provided examples.
• Relevant links: VLM Run Cookbook Website, Platform, Hub, Docs, Blog.

Highlighted Details

• Comprehensive collection of Colab notebooks demonstrating real-world applications.
• Examples cover diverse domains including financial documents, TV news, and fashion.
• Features include API quickstarts, schema showcases, visual grounding, and video inference.
• Ready-to-use code and documentation for easy adaptation.

Maintenance & Community

• Support is available via email at support@vlm.run and a Discord server.
• Updates are shared on Twitter and LinkedIn.
• Links: Discord, Twitter, LinkedIn.

Licensing & Compatibility

• The repository itself appears to be open-source, but the underlying VLM Run Platform's licensing and compatibility for commercial use or closed-source linking are not detailed in the README.

Limitations & Caveats

The primary limitation is the dependency on the proprietary VLM Run Platform, requiring API access and potentially incurring costs. The README does not specify the underlying VLM models used or their specific performance characteristics.