GitHub - iamarunbrahma/vision-parse: Parse PDFs into markdown using Vision LLMs

Vision Parse is a tool designed to convert PDF documents into well-formatted markdown content using advanced Vision Language Models. It offers features such as smart content extraction, content formatting that maintains document hierarchy and styling, support for multiple Vision LLM providers (including OpenAI, LLama, and Gemini), and the ability to handle multi-page PDFs by converting them into byte64 encoded images. Additionally, it supports local model hosting through Ollama for secure and offline document processing.

To use Vision Parse, users need Python 3.9 or higher, and optionally, Ollama for local models or API keys for OpenAI or Google Gemini. The package can be installed via pip, with optional dependencies for specific models. Users can configure PDF processing settings and choose from supported models like OpenAI's GPT-4o, Google's Gemini, and Meta's Llama and LLava. The project is open-source, licensed under the MIT License.

Key takeaways:

Vision Parse utilizes Vision Language Models to efficiently convert PDF documents into markdown format, maintaining content hierarchy and styling.
The tool supports multiple Vision LLM providers, including OpenAI, LLama, and Google Gemini, offering flexibility in model selection for accuracy and speed.
It allows for local model hosting using Ollama, ensuring secure and offline document processing.
Vision Parse requires Python 3.9 or higher and offers optional dependencies for OpenAI and Google Gemini integration.

GitHub - iamarunbrahma/vision-parse: Parse PDFs into markdown using Vision LLMs

Key takeaways:

Comments (0)

Newsletter