Browser-based PDF form fields detection (YOLO-based)
Hey HN! Last week, Joe Barrow released CommonForms [1], a set of open models for automatically detecting form fields in PDFs. He trained two models, FFDNet-S and FFDNet-L, on a dataset of 55k documents. You can read more about his approach in the arXiv paper [2]. As someone who's been searching for reliable models to auto-detect form fields (one of the last hard problems in PDF form filling), I was seriously impressed by the quality of these models. I wanted to give them the attention and distribution they deserve, so I created a fully browser-based implementation that handles both detection…
Browser-based PDF form fields detection (YOLO-based) launched on October 19, 2025 with 26 votes, #511 of 8,178 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
This browser-based tool automatically detects form fields in PDF documents using YOLO-based machine learning models trained on 55,000 documents. It runs entirely in the browser without requiring server-side processing, making it useful for developers and businesses that need to identify and extract form field locations from PDFs. The implementation combines two pre-trained models with post-processing to handle both detection and field addition tasks.
written from the facts on this page · September 2026
From the sources
Automatically detect and add form fields to PDFs using CommonForms AI models. Free browser-based tool using ONNX Runtime - no server upload required.
In the maker’s words, at launch
Hey HN! Last week, Joe Barrow released CommonForms [1], a set of open models for automatically detecting form fields in PDFs. He trained two models, FFDNet-S and FFDNet-L, on a dataset of 55k documents. You can read more about his approach in the arXiv paper [2]. As someone who's been searching for reliable models to…
Does a similar job
all alternatives →- UYUsing YOLO to Detect Office Chairs in 40M Hotel Photos2025 · ▲222
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.
OCR Text Detection Tool2019 · apps.microsoft.com · ▲92Fast and efficient text recognition from any image and PDF
Real-Time YOLO Object Detection in Elixir: Fast, Simple, Extensible2024 · github.com · ▲96A library for object detection and seamless YOLO model integration in Elixir - poeticoding/yolo_elixir
- UDUsing deep learning to detect objects from your webcam2018 · modeldepot.github.io · ▲95
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