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Meme Search

Meme Search gives you AI-powered meme search engine. Automatically extracts descriptions from images using on your own infrastructure.

Apache-2.0 Free neonwatty/meme-search · 643 github.com HTML 3 deploy options Webhooks

Overview

The open source Meme Search Engine and Finder. Free and built to self-host locally with Python, Ruby, and Docker. The open source Meme Search Engine and Finder. Free and built to self-host locally with Python, Ruby, and Docker. - neonwatty/meme-search The project has 643 GitHub stars and is licensed under Apache-2.0.

Key Features

Source: GitHub README

  • Multiple Image-to-Text Models
  • Florence-2-base - a popular series of small vision language models built by Microsoft, including a 250 Million (base) and a 700 Million (large) parameter variant. *This is the default model used in Meme Search*.
  • Florence-2-large - the 700 Million parameter vision language model variant of the Florence-2 series
  • SmolVLM-256 - a 256 Million parameter vision language model built by Hugging Face
  • SmolVLM-500 - a 500 Million parameter vision language model built by Hugging Face
  • Moondream2 - a 2 Billion parameter vision language model used for image captioning / extracting image text
  • Moondream2-INT8 - INT8 quantized version of Moondream2 for memory-constrained hardware. Reduces memory from ~5GB to ~1.5-2GB with minimal quality loss. Ideal for CPU-only machines.
  • Auto-Generate Meme Descriptions
  • Manual Meme Description Editing
  • Fast Vector Search

Getting Started

Source: GitHub README

docker compose up
http://localhost:3000

Normalized Features

Source: tool-features-normalized.json

brew, docker, docker compose, postgresql, webhooks.

Deploy

Docker

Self-host with Docker Compose

Coolify

One-click via Coolify panel
elestio

Elestio

Managed hosting from $9/mo
pikapods

PikaPods

Simple managed hosting

Features

Integrations & APIs

  • Webhooks

Category

Databases & Data Tools (122) Search Engines (17)

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