Alternatives
Products that do what Irpapers – Visual embeddings vs. OCR trade-offs in scientific PDFs does
Hey HN, we are releasing IRPAPERS to answer a highly pragmatic question: when building a RAG pipeline over PDFs, should you OCR the text or just embed the raw page images? Processing PDFs in production usually involves stringing together brittle OCR heuristics. While recent multimodal embeddings (like ColModernVBERT or ColPali) allow you to skip OCR entirely and retrieve directly from visual layouts, we wanted to measure if the computational overhead is actually worth the utility. The short answer: Transformer-based image pipelines won't be perfect for every use-case, but they fix exactly…
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2024 · pdf.darefail.com
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2016 · github.com
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In modern document question answering (QA) systems, Optical Character Recognition (OCR) serves an important role by converting PDF pages into text that can be processed by Large Language Models (LLMs). The resulting text can provide contextual input that enables LLMs to perform question answering over document content. Traditional OCR systems typically use a two-stage process that first detects the layout of a PDF — dividing it into text, tables, and images — and then recognizes and converts these elements into plain text. With the rise of vision-language models (VLMs) (such as Qwen-VL and…
Oct 2025 · github.com
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Hey HN, I built a PDF reader that can generate interactive visualizations right inside the document. The goal is to reduce the “intuition gap” when reading dense papers: select a concept, click Visualize, and it tries to produce a solid visual interactive app where you can rotate/zoom/step through (not just a text explanation). Upload any PDF, select text, click Visualize. Demo (no signup): https://zerodistract.com/try/pdf/67cdee74-810b-4f1b-af7d-010... Product link: https://zerodistract.com I’d love feedback, especially on what feels useful vs.…
Feb 2026 · zerodistract.com
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I built this because I often need clean Markdown from PDFs for writing, documentation, and LLM workflows. Most existing tools either flatten everything into text or rely purely on OCR. I wanted something that preserves structure and is actually usable in Markdown. Feedback welcome.
Jan 2026 · pdftomarkdown.pro
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Jul 2026 · github.com
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Nov 2025 · texocr.netlify.app
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2021 · chrome.google.com
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Most of the document parsers fail on real world challenges like complex tables, handwritten documents, historical document scans, equations, multi-column layouts, complex reading order, etc. We built Unsiloed Parser to handle exactly these cases. Our latest parser v3.1 achieved #1 rank and scored 88.0 strict pass-rate on olmOCR-Bench. We ran the evaluation across 1,403 PDFs and 8,413 unit tests using the unmodified upstream Allen AI scorer (olmocr==0.4.27) and found Unsiloed beats 18 other OCR services, including GPT-5.5, Claude Opus 4.7, LlamaParse, Reducto, Azure Document Intelligence, AWS…
May 2026
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May 2026 · github.com
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I’ve been frustrated with PDFs and found arXiv HTML lacking, so I built a fully interactive paper reader. Features: • Hover references, citations, equations • Light/dark mode • Auto-generated dependency graphs for definitions/lemmas/theorems • Table of contents that syncs with scroll • Highlighting + annotations • “Copy raw LaTeX” anywhere Featured paper: Video models are zero-shot learners and reasoners (Veo 3) https://www.sciencestack.ai/arxiv/2509.20328v2
Nov 2025 · sciencestack.ai
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Hey everyone, I was wondering if a Poincaré disk would be able to usefully show the local structure of a graph while showing most of one I used a collection of ML papers to explore this
Mar 2026 · paperverse.net
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Jul 2026 · github.com
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Hi HN, We've been building out a PDF viewer to help support various tasks in the Architectural, Engineering, and Construction space. We use it primarily for steel estimation right now, but are exploring how it might be useful across other engineering disciplines! From a tech perspective, the AI PDF viewers we've ran into use mostly PDF metadata/text, so they dont work well on engineering schematics which are mostly visual. So we put an agent in there that has tool abilities to see both text and image modalities, and its been much better for our tasks. Hope its interesting to play with…
Dec 2025 · alkali.engineering
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