I taught GPT-OSS-120B to see using Google Lens and OpenCV
I built an MCP server that gives any local LLM real Google search and now vision capabilities - no API keys needed. The latest feature: google_lens_detect uses OpenCV to find objects in an image, crops each one, and sends them to Google Lens for identification. GPT-OSS-120B, a text-only model with zero vision support, correctly identified an NVIDIA DGX Spark and a SanDisk USB drive from a desk photo. Also includes Google Search, News, Shopping, Scholar, Maps, Finance, Weather, Flights, Hotels, Translate, Images, Trends, and more. 17 tools total. Two commands: pip install…
In plain words
This is an MCP server that adds Google search and vision capabilities to local language models without requiring API keys. It includes 17 tools covering Google Search, News, Shopping, Scholar, Maps, Finance, Weather, Flights, Hotels, Translate, Images, and Trends. The standout feature uses OpenCV to detect objects in images, crop them individually, and send each to Google Lens for identification, enabling vision capabilities on text-only models. Installation requires two commands and Chromium via Playwright.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
I built an MCP server that gives any local LLM real Google search and now vision capabilities - no API keys needed. The latest feature: google_lens_detect uses OpenCV to find objects in an image, crops each one, and sends them to Google Lens for identification. GPT-OSS-120B, a text-only model with zero vision support, correctly identified an NVIDIA DGX Spark and a SanDisk USB drive from a desk photo. Also includes Google Search, News, Shopping, Scholar, Maps, Finance, Weather, Flights, Hotels, Translate, Images, Trends, and more. 17 tools total. Two commands: pip install noapi-google-search-mcp && playwright install chromium GitHub: https://github.com/VincentKaufmann/noapi-google-search-mcp PyPI: https://pypi.org/project/noapi-google-search-mcp/ Booyah!
Does the same job
all alternatives →- ADA Dalle-3 and GPT4-Vision feedback loop2023 · dalle.party · ▲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 -…
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I've developed a Python API service that uses GPT-4o for OCR on PDFs. It features parallel processing and batch handling for improved performance. Not only does it convert PDF to markdown, but it also describes the images within the PDF using captions like `[Image: This picture shows 4 people waving]`. In testing with NASA's Apollo 17 flight documents, it successfully converted complex, multi-oriented pages into well-structured Markdown. The project is open-source and available on GitHub. Feedback is welcome.
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