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pierre

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Markdown Comes to Liteparse

llamaindex.ai
5 points·by pierre·23 hari yang lalu·1 comments

Show HN: LiteParse v2, now in Rust 100x faster

github.com
15 points·by pierre·bulan lalu·0 comments

Extract PDF text in the browser with LiteParse for the web

simonwillison.net
1 points·by pierre·3 bulan yang lalu·0 comments

Parsebench open leaderboard for PDF parsing

huggingface.co
1 points·by pierre·3 bulan yang lalu·0 comments

The Problem Isn't the Model, It's What It's Reading

ryanmcdonough.co.uk
1 points·by pierre·3 bulan yang lalu·0 comments

HuggingFace Papers

huggingface.co
2 points·by pierre·3 bulan yang lalu·0 comments

Show HN: ParseBench – Document parsing benchmark for AI agents

parsebench.ai
9 points·by pierre·3 bulan yang lalu·5 comments

Show HN: Git why – log your agent reasoning trace along your code

hexapode.github.io
11 points·by pierre·3 bulan yang lalu·1 comments

Liteparse

github.com
9 points·by pierre·3 bulan yang lalu·1 comments

LiteParse: Local document parsing for AI agents (Open source)

llamaindex.ai
2 points·by pierre·4 bulan yang lalu·2 comments

Show HN: Liteparse, an OSS universal fast document parser by LlamaParse team

github.com
2 points·by pierre·4 bulan yang lalu·1 comments

OlmOCR 2

github.com
5 points·by pierre·9 bulan yang lalu·1 comments

DeepSeek OCR

github.com
1,003 points·by pierre·9 bulan yang lalu·244 comments

comments

pierre
·23 hari yang lalu·discuss
Liteparse now support markdown, beat markitdown in speed and accuracy, fully open source https://github.com/run-llama/liteparse
pierre
·3 bulan yang lalu·discuss
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)
pierre
·3 bulan yang lalu·discuss
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 evaluate performance on full page (not selected part of the pages), and evaluaye different OSS / crobtier model / commercial approach.

For transparency it is available as a HF leaderbaord.

Paper: https://arxiv.org/abs/2604.08538
pierre
·3 bulan yang lalu·discuss
A fast and open source spatial text parser
pierre
·4 bulan yang lalu·discuss
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
pierre
·4 bulan yang lalu·discuss
Contributor here, happy to answer any questions!
pierre
·9 bulan yang lalu·discuss
Demo: https://olmocr.allenai.org/ Paper: https://arxiv.org/abs/2510.19817