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Products that do what Recognize license plates using fine-tuned yolov8, OCR and IP camera does
Hey, just a work related project I made, which could be open sourced :D If you're looking for an example on how to use/fine-tune yolov8, I feel like taking a look at this repo and reading the README could help you get up to speed (also linked some nice refs)! This is actually a full rewrite of a proprietary project I made (and documented on my site) like a year ago, will do some finishing touches (write blog post about it, mark the old version deprecated, record a tutorial on how to set it up on an Ubuntu server, etc, etc) in the following month, but felt like sharing it now, cuz I…
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Built this over the last few days, based on a Rust codebase that parses the latest ALPR reports from OpenStreetMaps, calculates navigation statistics from every tagged residential building to nearby amenities, and tests each route for intersection with those ALPR cameras (Flock being the most widespread). These have gotten more controversial in recent months, due to their indiscriminate large scale data collection, with 404 Media publishing many original pieces (https://www.404media.co/tag/flock/) about their adoption and (ab)use across the country. I wanted to use…
Dec 2025 · alpranalysis.com
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This runs YOLOv8 + bytetrack with Tinygrad detections (depending on user config) are saved and can be sent to the companion iOS app along with a notification, all video processing is done locally, all footage is encrypted before leaving your computer, and the sending notifications + videos part is optional. This uses tinygrad, so it runs well on my apple silicon macs and should be able to run on a lot of hardware (or will be able to when I remove other deps).
2025 · github.com
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2020 · github.com
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I used the YOLO object detection library from Ultralytics to scan over 40 million hotel photos and identify images with office chairs. This helped me create a map showing hotels suitable for remote work. Map: https://www.tripoffice.com/maps Yolo: https://www.ultralytics.com/yolo The whole process was done on a home Mac without the use of any LLMs. It's based on traditional object detection technology.
2025
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I built OCR Arena as a free playground for the community to compare leading foundation VLMs and open-source OCR models side-by-side. Upload any doc, measure accuracy, and (optionally) vote for the models on a public leaderboard. It currently has Gemini 3, dots.ocr, DeepSeek, GPT5, olmOCR 2, Qwen, and a few others. If there's any others you'd like included, let me know!
Nov 2025 · ocrarena.ai
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This started as a project to scratch my own itch and has grown from there. Initially I wanted a way to easily see if potential funny license plates were available in a given state, but I've also started using it at car shows when I'm curious which engine or transmission is in a car. It most cases the plate can be matched to a VIN using DMV data, and then some information about the vehicle can be decoded into basic car specs You can also purchase a full vehicle history report which uses data from the NMVTIS and other services to show accident history, previous titles, and salvage issues. The…
2023 · checkanyvin.com
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New York City has this cool program that lets anyone report idling commercial vehicles and get a large cut of the fines [1]. It's been in the news recently [2]. I've filed a few reports, and I found the process frustrating and error-prone. The forms are fiddly, there's way too much information that needs to be copied down from the video by hand, you have to use a third-party app to take a timestamped video and a different app to compress it before uploading, and approximately none of it can be done on your phone — the device you probably used to record your video in the first place. I built…
2025 · apps.apple.com
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2016 · gping.io
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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
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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…
Feb 2026
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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
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2016 · github.com
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2023 · github.com
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This was not supposed to become a product. When PaddleOCR-VL-1.6 dropped, independent benchmarks put it at the top of document parsing models. I had to try it. I needed a provider, but there simply isn't one ready for production that I would trust. So i set one up myself. I assumed that even after getting it running, serving a vision-language model would be expensive. It turns out the opposite is true. Once I had it running properly, the cost was absurdly low. At proper GPU utilization, the cost is only around $1 per 1,000 pages. The nearest competitors are either much lower quality (Azure…
Jul 2026 · openparser.dev
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Search for stuff that's not in the transcripts
May 2026 · goldenretriever.ai
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2024 · visionparser.com
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Built this because people working with large document sets had no free tool that handled batch processing cleanly. Tesseract is free and runs locally. For anything that needs more accuracy — Google Vision, Gemini, or any OpenRouter model — you bring your own API key. No subscription, no markup on your usage. Export as TXT, JSON, XML or PDF. AI engines support custom prompts so you can translate, extract form fields, or get structured output in one step. App: https://onlineocrfree.qzz.io Source: https://github.com/naimurhasan/online-ocr-free
Mar 2026 · onlineocrfree.qzz.io
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