Parse Multi Format Rag Inputs With Omniparse

Name: Parse Multi Format Rag Inputs With Omniparse
Author: agentskillexchange

ASecurity

Run OmniParse locally or as an API service to turn documents, images, audio, video, and web pages into structured Markdown-ready inputs for agent and RAG workflows.

36 stars
0 votes
0 copies
1 view
Added September 2, 2026

ai-agentspythongodockergitapisecuritydocumentation

Works with

Security analysis

A92/100

mediumInstalls packages at runtime which could introduce malicious dependencies

Pro shows the line behind each finding and how to fix it

Scanned September 2, 2026

npx -y skills add agentskillexchange/skills --skill parse-multi-format-rag-inputs-with-omniparse --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Parse Multi Format Rag Inputs With Omniparse?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Parse Multi Format Rag Inputs With Omniparse

[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/agentskillexchange-parse-multi-format-rag-inputs-with-omniparse/badge)](https://www.skillsdirectory.com/skills/agentskillexchange-parse-multi-format-rag-inputs-with-omniparse)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro

SKILL.md

---
name: "Parse multi-format RAG inputs with OmniParse"
slug: "parse-multi-format-rag-inputs-with-omniparse"
description: "Run OmniParse locally or as an API service to turn documents, images, audio, video, and web pages into structured Markdown-ready inputs for agent and RAG workflows."
github_stars: 7613
verification: "security_reviewed"
source: "https://github.com/adithya-s-k/omniparse"
author: "adithya-s-k"
publisher_type: "individual"
category: "Data Extraction & Transformation"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "adithya-s-k/omniparse"
  github_stars: 7613
---

# Parse multi-format RAG inputs with OmniParse

Run OmniParse locally or as an API service to turn documents, images, audio, video, and web pages into structured Markdown-ready inputs for agent and RAG workflows.

## Prerequisites

Linux, Python 3.10, Conda or virtualenv, Docker optional, GPU recommended for heavier parsing workloads

## Installation

Use the upstream install or setup path that matches your environment:
- git clone https://github.com/adithya-s-k/omniparse
- conda create -n omniparse-venv python=3.10
- conda activate omniparse-venv
- pip install -e .

Requirements and caveats from upstream:
- ✅ Easily deployable using Docker and Skypilot \
- To use OmniParse with Docker, execute the following commands:

Basic usage or getting-started notes:
- [!IMPORTANT]
- The server only works on Linux-based systems. This is due to certain dependencies and system-specific configurations that are not compatible with Windows or macOS.
- cd omniparse

- Source: https://github.com/adithya-s-k/omniparse
- Extracted from upstream docs: https://raw.githubusercontent.com/adithya-s-k/omniparse/HEAD/README.md

## Documentation

- https://omniparse.cognitivelab.in/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/parse-multi-format-rag-inputs-with-omniparse/)