Dev tools · alternatives · 2026

24 alternatives to OpenCode Senses, An insanely fast and highly accurate vision plugin

The vision plugin for OpenCode that truly understands images. Inspect, read, and reason about any screenshot or picture with deeper understanding than any other plugin — fully local, private, and free. Normally, it takes 300ms to analyse one image on my laptop, which is pretty fast for a local vision model. I use moondream2 as my vision model, you can set your custom model like moondream3.1 if you have a good GPU (for comparison I have currently have an RTX 3050). It works cross-platform. Just follow the README. If you like my work, you leave me a tip as an act for supporting open source!!…

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

1
DeepSeek-VL2▲503
MoE vision-language, now easier to access
2025 · github.com · its alternatives →
2
DeepSeek-OCR▲350
Advanced visual-text compression technology
2025 · huggingface.co · its alternatives →
3
A Dalle-3 and GPT4-Vision feedback loop▲587
I used to enjoy Translation Party, and over the weekend I realized that we can build the same feedback loop with DALLE-3 and GPT4-Vision. Start with a text prompt, let DALLE-3 generate an image, then GPT-4 Vision turns that image back into a text prompt, DALLE-3 creates another image, and so on. You need to bring your own OpenAI API key (costs about $0.10/run) Some prompts are very stable, others go wild. If you bias GPT4's prompting by telling it to "make it weird" you can get crazy results. Here's a few of my favorites: - Gnomes: https://dalle.party/?party=k4eeMQ6I -…
2023 · dalle.party · its alternatives →
4
Moondream, a small vision language model that runs on 8GB of RAM▲9
I've been working on training this small vision language model for the last month - excited to release the first prototype today! It is based on SigLIP (image encoder), Phi-1.5 (text model) and trained using the LLaVa-1.5 training dataset. It runs reasonably fast on CPU with ~8GB of RAM in full 32-bit precision. There's plenty of room to speed it up and reduce memory consumption by quantizing the model. I posted a video of it running on my M2 Macbook Air (on CPU not MPS, so performance should be comparable on other hardware) on Twitter to demonstrate inference speed:…
2023 · github.com · its alternatives →
5
DeepSeek-V4▲387
The open-source era of 1M context intelligence
Apr 2026 · huggingface.co · its alternatives →
6
Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3▲316
I wanted to share our new speech to text model, and the library to use them effectively. We're a small startup (six people, sub-$100k monthly GPU budget) so I'm proud of the work the team has done to create streaming STT models with lower word-error rates than OpenAI's largest Whisper model. Admittedly Large v3 is a couple of years old, but we're near the top the HF OpenASR leaderboard, even up against Nvidia's Parakeet family. Anyway, I'd love to get feedback on the models and software, and hear about what people might build with it.
Feb 2026 · github.com · its alternatives →
7
I run a vision model on every screenshot, locally, on a 4GB GPU▲36
AI-powered screen memory — captures, analyzes, and lets you search/chat your screen history. Powered by Gemma 4 . 100% local, 100% private. - ayushh0110/ScreenMind
Jun 2026 · github.com · its alternatives →
8BV
Benchmarking VLMs vs. Traditional OCR▲146
Vision models have been gaining popularity as a replacement for traditional OCR. Especially with Gemini 2.0 becoming cost competitive with the cloud platforms. We've been continuously evaluating different models since we released the Zerox package last year (https://github.com/getomni-ai/zerox). And we wanted to put some numbers behind it. So we’re open sourcing our internal OCR benchmark + evaluation datasets. Full writeup + data explorer here: https://getomni.ai/ocr-benchmark Github: https://github.com/getomni-ai/benchmark Huggingface:…
2025 · getomni.ai · its alternatives →
9
Manot▲232
Get insights into your computer vision model’s blind spots
2023 · its alternatives →
10
Hacky Meta Glasses GPT4 Vision Integration▲226
v1.0.0: https://github.com/dcrebbin/meta-vision-api/releases/tag/1.0... The previous implementation was very very hacky and used a bookmarklet alongside uglified messenger classes from 2 years ago to monitor a chat, it was also only for image messages. The new release is a browser extension for chrome & firefox that you run on an alt facebook account on messenger that can monitor for new chat & image messages + video monitoring if in a call. You can create a group chat and use a special method (instructions in the readme) to force the Glasses to be aware of…
2023 · github.com · its alternatives →
11
LLaVaVision: An AI "Be My Eyes"-like web app with a llama.cpp backend▲154
A simple mobile web app inspired by Fuzzy-Search/realtime-bakllava that uses llama.cpp server backend with multimodal mode to describe and narrate what the phone camera sees. I built this thing in a few hours using a single ChatGPT thread to generate most things for me and iterate on this project. Here's the workflow: https://chat.openai.com/share/ea84ec69-5617-45e8-8772-ac2dcf...
2023 · github.com · its alternatives →
12
Real-Time YOLO Object Detection in Elixir: Fast, Simple, Extensible▲96
A library for object detection and seamless YOLO model integration in Elixir - poeticoding/yolo_elixir
2024 · github.com · its alternatives →
13
Hawk Vision – WordPress Plugin▲75
Image analyzing tool powered by Google Cloud Vision AI
2022 · its alternatives →
14
PerceptPixel 2.0▲203
Canva and Cloudinary on a jetplane to Milan
2024 · perceptpixel.com · its alternatives →
15
VisionScript, abstract programming language for computer vision▲93
Hello! I'm James and I am working on VisionScript. With VisionScript, I want to empower people -- including everyone without any prior programming experience -- to build cool apps with vision. This weekend, I recorded a demo for VisionScript, in which I made apps that count how many cats are in an image and hides people in a video. Each app was < 10 lines of code. https://vimeo.com/856043804 VisionScript is built for the 10 year old inside of me who would have loved more visual programming languages with which to play. I want to show people the potential of programming and how…
2023 · github.com · its alternatives →
16
Copilot Vision▲187
The AI companion that sees what you see on Windows
2025 · its alternatives →
17
Meta Perception Encoder▲122
Vision encoder setting new standards in image & video tasks
2025 · ai.meta.com · its alternatives →
18
I created a PoC for live descriptions of the surroundings for the blind▲73
The difference in cost between products that are developed as accessibility tools compared to consumer products is huge. One example is camera glasses where the accessibility product costs ~$3000 (Envision Glasses), and the consumer product costs ~$300 (Ray-Ban Meta). In this case the Ray-Ban Meta is getting accessibility features. The functionality is promising according to reviews, but requires the user to say "Hey meta what am I looking at" every time a scene is to be described. The battery life seem underwhelming as well. It would be nice to have an cheap and open source alternative to…
2025 · github.com · its alternatives →
19
Visual Search using features extracted from Tensor Flow inception model▲75
2016 · github.com · its alternatives →
20
Supersense▲132
Computer vision for the blind from an MIT-spinoff startup
2020 · its alternatives →
21
Viso Now▲103
Viso Now helps businesses and technical teams quickly turn computer vision ideas into working applications. Operations, quality, safety, and maintenance teams can identify bottlenecks, automate visual inspections, detect hazards, and spot equipment issues earlier. Engineers and A
Aug 2026 · viso.ai · its alternatives →
22
Pip install inference, open source computer vision deployment▲71
Deploying vision models is time consuming and tedious. Setting up dependencies. Fixing conflicts. Configuring TRT acceleration. Flashing (and re-flashing) NVIDIA Jetsons. A streamlined, developer-friendly solution for inference is needed. We, the Roboflow team, have been hard at work open sourcing Inference, an open source vision deployment solution. Our solution is designed with developers in mind, offering a HTTP-based interface. Run models on your hardware without having to write architecture-specific inference code. Here's a demo showing how to go from a model to GPU inference on a video…
2023 · github.com · its alternatives →
23
Build an open-source computer vision model in seconds using text▲64
Hello HN! I want to share something me and a few friends have been working on for a while now — Zeroshot, a web tool that builds image classifiers using text-image models and autolabeling. What does this mean in practice? You can put together an image classifier in about 30 seconds that’s faster and more accurate than CLIP, but that you can deploy yourself however you’d like. It’s open source, commercially licensed, and doesn’t require you to pay anyone per API call. Here's a 2 minute video that shows it off: https://www.youtube.com/watch?v=S4R1gtmM-Lo How/why does it…
2023 · usezeroshot.com · its alternatives →
24
DeepDream for Video with Temporal Consistency▲72
I forked a PyTorch DeepDream implementation and added video support with temporal consistency. It produces smooth DeepDream videos with minimal flickering, and is highly flexible including many parameters and supports multiple pretrained image classifiers including GoogLeNet. Check out the repo for sample videos! Features: - Optical flow warps previous hallucinations into the current frame - Occlusion masking prevents ghosting and hallucination transfer when objects move - Advanced parameters (layers, octaves, iterations) still work - Works on GPU, CPU, and Apple Silicon
Jan 2026 · github.com · its alternatives →

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