#Pdf-parser
Showing 23 of 23 repositories tagged #pdf-parser, ranked by stars
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
A fast, helpful, and open-source document parser
A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files
The official repo for βDolphin: Document Image Parsing via Heterogeneous Anchor Promptingβ, ACL, 2025.
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
Fast Rust library for PDF inspection, classification, and text extraction. Intelligently detects scanned vs text-based PDFs to enable smart routing decisions.
Extract and convert data from any document, images, pdfs, word doc, ppt or URL into multiple formats (Markdown, JSON, CSV, HTML) with intelligent structured data extraction and advanced OCR.
Easily deployable π API to convert PDF to markdown quickly with high accuracy.
The fastest PDF library for Python and Rust. Text extraction, image extraction, markdown conversion, PDF creation & editing. 0.8ms mean, 5Γ faster than industry leaders, 100% pass rate on 3,830 PDFs. MIT/Apache-2.0.
An extension of the traditional PDF standard, allowing multiple files to be stored in a single file via metadata
Analyze PDFs with colors (and YARA)
A package for parsing PDFs and analyzing their content using LLMs.
Parser for Consolidated Account Statements (CAS) generated from CAMS/Karvy/Kfintech
Pure Rust PDF library for AI/RAG: structure-aware chunking, no ML, no C deps.
Research feedback grounded in the papers that define your field
AI-Native document parser: PDF, Office & images β clean Markdown with LaTeX, tables & OCR. Zero-dependency CLI & skill for Claude Code, Cursor & AI agents.
smart-llm-loader is a lightweight yet powerful Python package that transforms any document into LLM-ready chunks. Spend less time on preprocessing headaches and more time building what matters. From RAG systems to chatbots to document Q&A, SmartLLMLoader handles the heavy lifting so you can focus on creating exceptional AI applications.
A Python tool to parse PDF statements from Poste Italiane (Postepay, BancoPosta) and extract data as structured JSON.
Batch-convert pdf to text, extract data from pdf in python
Privacy-first document intelligence engine β parse PDFs, DOCX, PPTX, XLSX & CSV into AI-ready chunks for RAG pipelines. Includes HITL review, 3-layer memory chat, and a production FastAPI server.
εΎζεΉΆθη PDF RAG η³»η»οΌζ―ζηεΌζη₯εεγεΎθ‘¨ζ·±εΊ¦η解δΈη²Ύεθ§θ§ζΊ―ζΊγ Multimodal PDF RAG: Features layout-aware chunking, visual chart understanding, and precise inline image citations.