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pierre
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9 ms
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Markdown Comes to Liteparse
(llamaindex.ai)
5 points
by
pierre
3mo ago
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1 comments
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by
pierre
3mo ago
Liteparse now support markdown, beat markitdown in speed and accuracy, fully open source https://github.com/run-llama/liteparse
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Show HN: LiteParse v2, now in Rust 100x faster
(github.com)
15 points
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pierre
4mo ago
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0 comments
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Extract PDF text in the browser with LiteParse for the web
(simonwillison.net)
1 points
by
pierre
5mo ago
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0 comments
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Parsebench open leaderboard for PDF parsing
(huggingface.co)
1 points
by
pierre
5mo ago
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0 comments
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The Problem Isn't the Model, It's What It's Reading
(ryanmcdonough.co.uk)
1 points
by
pierre
5mo ago
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0 comments
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HuggingFace Papers
(huggingface.co)
2 points
by
pierre
5mo ago
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0 comments
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by
pierre
5mo ago
Yes, it evaluate using frontier model for parsing from all 3 major provider (google, anthropic and openai). It is also easy to extend to evaluaye new model (code/dataset is available)
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pierre
5mo ago
Build a benchmark to evaluate how good document parser work on a dataset of 2000 PDFs manually annotated, trying to evaluate accross multiple dimensions: charts, tables, text styling, text correctness, and attribution. The benchmark evaluat
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Show HN: ParseBench – Document parsing benchmark for AI agents
(parsebench.ai)
9 points
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pierre
5mo ago
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5 comments
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Show HN: Git why – log your agent reasoning trace along your code
(hexapode.github.io)
11 points
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pierre
5mo ago
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1 comments
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Liteparse
(github.com)
9 points
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pierre
6mo ago
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1 comments
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by
pierre
6mo ago
A fast and open source spatial text parser
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LiteParse: Local document parsing for AI agents (Open source)
(llamaindex.ai)
2 points
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pierre
6mo ago
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2 comments
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by
pierre
6mo ago
A new document (including PDF) parser that outperform traditional tool such as PyPDF or MuTools. Link to open source repo: https://github.com/run-llama/liteparse
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by
pierre
6mo ago
Contributor here, happy to answer any questions!
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Show HN: Liteparse, an OSS universal fast document parser by LlamaParse team
(github.com)
2 points
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pierre
6mo ago
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1 comments
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OlmOCR 2
(github.com)
5 points
by
pierre
11mo ago
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1 comments
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by
pierre
11mo ago
Demo: https://olmocr.allenai.org/ Paper: https://arxiv.org/abs/2510.19817
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DeepSeek OCR
(github.com)
1003 points
by
pierre
11mo ago
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244 comments
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by
pierre
1y ago
Main issue is that token are not equivalent across provider / models. With huge disparity inside provider beyond the tokenizer model: - An image will take 10x token on gpt-4o-mini vs gpt-4. - On gemini 2.5 pro output token are token ex
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Show HN: Worflows.py, the best way to build agents
(github.com)
3 points
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pierre
1y ago
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0 comments
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SmolDocling, an OSS 256M end to end OCR to Markdown model
(huggingface.co)
1 points
by
pierre
2y ago
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0 comments
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by
pierre
2y ago
LlamaIndex | Senior/Staff Software Engineer (LlamaParse) | San-Francisco, CA | Remote | Full-time | $100K – $300K + Equity | https://www.llamaindex.ai/careers LlamaIndex is building a platform for AI agents that can fi
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by
pierre
2y ago
If you want to try agentic parsing we added support for sonnet-3.7 agentic parse and gemini 2.0 in llamaParse. cloud.llamaindex.ai/parse (select advanced options / parse with agent then a model) However this come at a high cost in
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Vdr-2B-multi-v1 a multilingual embedding model for visual document retrieval
(huggingface.co)
2 points
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pierre
2y ago
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0 comments
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by
pierre
2y ago
I read the output header, and see the Artifex (mutools / gs team) headers
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by
pierre
2y ago
This is a nice UI for end users, however it seems to be a seems wrapper on top of mutool, which is distributed as AGPL. If you want to process PDF locally, legally and safely you should use their CLI instead.
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by
pierre
2y ago
Parsing docs using LVM is the way forward (also see OCR2 paper released last week, people are having ablot of success parsing with fine tunned Qwen2). The hard part is to prevent the model ignoring some part of the page and halucinations (s
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by
pierre
2y ago
yes, you can pass an array of path to the extract function.
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