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Things You Should Never Do, Part I
https://www.reddit.com/r/programming/comments/1ksi96i/things_you_should_never_do_part_i/

<!-- SC_OFF -->I feel like, if this got shared without a timestamp and references to the technologies changed, nobody would notice ... it is 25 years old. <!-- SC_ON --> submitted by /u/esiy0676 (https://www.reddit.com/user/esiy0676)
[link] (https://www.joelonsoftware.com/2000/04/06/things-you-should-never-do-part-i/) [comments] (https://www.reddit.com/r/programming/comments/1ksi96i/things_you_should_never_do_part_i/)
Google Lens Result Scraper + AI Image Analysis Pipeline + FastAPI end-to-end service
https://www.reddit.com/r/programming/comments/1ksmq8j/google_lens_result_scraper_ai_image_analysis/

<!-- SC_OFF -->Hi everyone, I recently released an open-source project that builds an end-to-end pipeline combining Google Lens result scraping and LLM-based analysis for images. What My Project Does : The idea is simple: given an image, it uploads it to Google Lens, collects the associated page links, scrapes the textual content from those pages, and sends it to a language model of your choice (OpenAI-compatible, including OpenRouter or even local models like Ollama) to generate a concise description or summary. You can use the scraper without using the analyser and any of the LLM part The project includes: Automated Google Lens scraping using Selenium LLM-based analysis of the aggregated context A lightweight FastAPI server to run the full process via HTTP (just send base64 images and get back analysis) You can control every parameter by modifying the configuration, and you can use the scraper separately from the LLM analysis. Target Audience : It’s basically an open-source, unlimited, no-local-compute "image to text" service — assuming you have a free online LLM provider or a local model. Everyone dealing with AI, images or LLM could be interrested. I figured it might be useful for anyone working on dataset creation, automated image annotation, or quick content analysis based on visual input. Comparison :
I didn't found any working Google Lens scraper and its combined with a long process data pipeline and AI analys. Repo: https://github.com/shanedonnelly/OpenLens Feedback is welcome. Contact me to contribute <!-- SC_ON --> submitted by /u/shaned34 (https://www.reddit.com/user/shaned34)
[link] (https://github.com/shanedonnelly/OpenLens) [comments] (https://www.reddit.com/r/programming/comments/1ksmq8j/google_lens_result_scraper_ai_image_analysis/)