PDF and Document Parsers for RAG
Converters like Docling, MinerU and Marker turn PDFs, Office files and scans into clean Markdown or into chunks ready for RAG.
A local OCR model converts PDFs and images into structured text with layout details, handwriting recognition and HuggingFace or vLLM backends.
12.7KUpdated 3 weeks agoApache-2.0
Docker · Web#Batch processing#Hugging Face integration#Multilingual
Chandra OCR converts document images and PDFs into text that retains page structure. It's for people processing scans, handwritten records or documents whose tables and forms need to survive extraction.
Document Parsing for LLMsOCR and Document Scanning+0
An open-source Python document parser prepares PDFs, Word files and images for LLM applications and runs locally or in Docker under Apache 2.0.
15.7KUpdated 21 hours agoApache-2.0
macOS · Windows · Linux · Docker#Multilingual
Unstructured is a document processing library for developers preparing files for LLM applications. It turns text documents and images into structured output that applications can work with.
Document Parsing for LLMsLLM Libraries and SDKsOCR and Document Scanning+0
A self-hosted web crawler extracts Markdown and JSON for AI workflows, with Python and Docker options plus a hosted API.
87.3KUpdated 1 week agoApache-2.0
Docker#Browser automation#Structured output
Crawl4AI is a web crawler and scraper for developers feeding websites into AI agents, RAG systems and data pipelines. It can extract useful page content without requiring an LLM.
Document Parsing for LLMsWeb Scraping for AI+0
An open-source LLM data preparation system that generates, cleans, and evaluates datasets with reusable pipelines and a visual workspace.
8.6KUpdated 2 days agoApache-2.0
Web#Visual workflows
DataFlow is a Python system for researchers and teams preparing data for LLM training or RAG. It turns noisy PDFs, plain text, and question-answer datasets into data suited to a specific domain or training task.
AI Workflow AutomationDatasets and Synthetic DataDocument Parsing for LLMs+0
A local, open-source Python tool converts docs, code and media into AI skills and RAG data for Claude, Cursor and LangChain.
15.3KUpdated 1 month agoMIT
#Agent Skills#MCP#Multimodal input
Skill Seekers prepares documentation and code for AI assistants. It's for developers and teams who want reusable skills, coding context or retrieval-augmented generation (RAG) data without preparing the same sources separately for each tool.
Document Parsing for LLMsMCP Servers and Agent SkillsRAG Frameworks and PipelinesWeb Scraping for AI+0
A self-hosted multimodal retrieval engine that searches visual documents with ColPali and connects to AI applications through an API or MCP.
3.7KUpdated 3 weeks ago
Docker · Web#MCP#Multi-user access#Multimodal input
Morphik Core is a retrieval engine for developers building AI applications around documents whose meaning depends on charts, diagrams, or page layout. It brings document search and structured extraction into one platform.
Chat With Your DocumentsDocument Parsing for LLMsMCP Servers and Agent SkillsRAG Frameworks and Pipelines+0
A self-hosted web extraction API converts pages and documents to Markdown or JSON for LLMs, with Apache 2.0 code, Docker and a hosted service.
12.3KUpdated 6 months agoApache-2.0
Docker#Multimodal input#Structured output
Jina Reader is a web extraction API for developers building AI agents, search tools and systems that answer questions from retrieved documents. It turns page content into Markdown or JSON instead of passing raw HTML to an LLM.
Document Parsing for LLMsWeb Scraping for AI+0
An open-source AI development toolkit for OCR, computer vision and time-series models, with local CPU or GPU inference and self-hosted deployment.
6.3KUpdated 5 months agoApache-2.0
Windows · Linux · Docker#Multilingual#ONNX
PaddleX is a low-code toolkit for developers building AI applications with PaddlePaddle models. It brings pretrained pipelines and model training into one tool for applications that process documents, images or time-series data.
Document Parsing for LLMsInference Libraries and BindingsOCR and Document ScanningTraining Frameworks+0
A Python library extracts structured data from text with source links and visual review, using local models through Ollama or cloud models.
39.3KUpdated 5 days agoApache-2.0
Windows · Docker#Ollama integration#OpenAI-compatible API#Source citations
LangExtract is a Python library for developers who need to turn notes, reports or other text into structured data. It links extracted details to their original passages so people can check the results against the document.
Document Parsing for LLMsLLM Libraries and SDKs+0
A local AI resume scoring tool ranks PDF applications with editable role rubrics and evidence for each score, using Ollama or cloud models.
7.4KUpdated 1 month agoMIT
macOS · Windows · Linux#Ollama integration#OpenAI-compatible API#Structured output
Hiring Agent helps hiring teams rank resume PDFs to decide which applications to review first. HackerRank built it for intern applications, with human reviewers making the hiring decisions.
Document Parsing for LLMsDocuments, Writing and Research+0
Local OCR software extracts multilingual text, page layouts and tables from documents on CPU, Apple Silicon or NVIDIA GPUs.
21.6KUpdated 2 days agoApache-2.0
macOS · Web#Batch processing#llama.cpp backend#Multilingual
Surya is a local OCR toolkit for developers who need text and page structure from document images. It handles multilingual documents and preserves reading order for use in document-processing applications.
Document Parsing for LLMsOCR and Document ScanningVision-Language Models+0
A self-hosted RAG framework answers questions about your documents using NVIDIA NIM models, with multimodal extraction and optional agentic search.
823Updated 2 weeks agoApache-2.0
Docker · Web#Agent Skills#Guardrails#Hybrid search
NVIDIA RAG Blueprint is a reference framework for developers building AI question answering over enterprise data. It retrieves relevant material from your documents to ground answers and can cite the retrieved sources.
Chat With Your DocumentsDocument Parsing for LLMsRAG Frameworks and Pipelines+0
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