The LSTM model generates captions for the input images after extracting features from pre-trained VGG-16 model. (Computer Vision, NLP, Deep Learning, Python)
Image Captioning with Keras
File picker with thumbnails, semantic search, and image viewer
Social media caption generator as a Claude skill — turn any text, script, or screenshot into ready-to-post captions for Instagram Reels, Carousel, TikTok, Threads, Facebook, YouTube Shorts. Algorithm-optimized for shares, saves, and completion rate. Built by @roman.knox (280K+ IG).
Your Terminal Companion for the Holy Quran: Read, Listen & Generate Subtitles for Video Editing!
Generate text captions for audio files & youtube video using OpenAI Whisper on Google Colab. Multiple languages support.
Aid for blinds. This AI will describe the surrounding, it will tell who is in front of him (if that person is a known person to AI using Facial Recognition) and it will also help him to know what is written (Optical Character Recognition)
ComfyUI nodes for Batch Image Captioning + various Vision-Language (VL) models, including InternVL3.5, Xiaomi MiMo-VL, LiquidAI LFM2-VL, Kwai Keye-VL, AIDC-AI Ovis2.5 and Ovis-U1. Models: Ovis2.5-2B, Ovis2.5-9B, Keye-VL-8B-Preview, MiMo-VL-7B-RL-GGUF, LFM2-VL-450M, LFM2-VL-1.6B, Ovis-U1-3B, Ovis2.5-2B, Ovis2.5-9B, InternVL3_5-1B/2B/4B/8B/14B/38B
This is a repo providing same stable diffusion experiments, regarding textual inversion task and captioning task
Automatically generate Alt Text for images and other objects in Powerpoint presentations using MLLM/VLM
caption generator using lavis and argostranslate
Context-Aware Image Captioning with BLIP-2
Free, open-source AI video caption generator. Add trending animated subtitles to any video — 6 styles (Hormozi, MrBeast, Karaoke), word-level animation, 100+ languages. Powered by Whisper + FFmpeg. Self-hosted with Docker.
Image Caption Generator using CNN and LSTM
Generate creative, human-like, and SEO-optimized Instagram captions for your images using state-of-the-art AI models (BLIP + Google Gemini/Gemma). This is the Next.js frontend that connects to a FastAPI backend to upload images and display multiple caption styles.
A multilingual realtime system-wide audio captioning tool for Windows. Built with JavaFX and Python, utilizing Qwen-ASR models with ZeroMQ socket communication for low-latency speech-to-text transcription.
Automatic Caption Generation for YT shorts and raw videos.
Generate creative, human-like, and SEO-optimized Instagram captions for your images using state-of-the-art AI models (BLIP + Google Gemini/Gemma). This project provides a FastAPI backend that accepts image uploads and returns a variety of engaging captions in multiple styles, perfect for boosting your Instagram presence.
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