rowfill

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开源电子表格平台，把文档解析、OCR 和大模型接入表格，方便做深度研究与批量文档处理。

Open-source spreadsheets platform for deep research and document processing

v0.1.1-alpha发布于 2025-01-21 10:58 UTC364star22fork同步于 2026-11-07 07:31 UTC

文档解析 OCR 电子表格深度研究大模型

对比 GitHub 官网 document document-extraction document-parsing image-ocr langgraph

怎么上手

由 README 提炼，执行前请确认

原文

git clone <repo>
docker compose up

硬件要求按 README 说明

README 未说明具体显存或 GPU 型号要求；支持本地 LLM（Llama、Mistral）或 OpenAI 视觉模型，本地运行需自行准备模型环境。

有 Docker 镜像

下载：源码 zip·GitHub Releases（安装包）本站不镜像安装包

项目说明

由 README 自动翻译提炼

没人工点评？写下你的经验

开源智能表格平台，用 AI 代理从文档和多源数据中自动提取、研究并整理成结构化表格

开源电子表格平台，把文档解析、OCR 和大模型接入表格，方便做深度研究与批量文档处理。

核心能力

用 AI 代理表格理解上下文并推理数据
从文档、PDF、图片、网页和数据库多源提取
自动检测数据结构并整理为表格
支持跨源交叉引用与信息验证
可接本地 Llama/Mistral 或 OpenAI 视觉模型

容易踩的坑

需按 mockenv 文件自行配置环境变量；本地 LLM 模式需额外准备并运行 Llama/Mistral 等模型；项目处于活跃开发中，功能可能变动。

内容由模型根据 README 生成，可能不完整或不准确，以官方文档为准。看原文 README

用户点评

登录用户的真实使用记录，可按版本和硬件筛选

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README 原文

未翻译

在 GitHub 打开

👋 Welcome to Rowfill

Rowfill is an open-source platform that transforms how you work with data through agentic tables. It combines powerful document extraction, deep research capabilities, and intelligent data processing to help you uncover insights from any data source.

✨ Features

🤖 Agentic Tables

AI-Powered Analysis: Tables that understand context and can reason about your data
Autonomous Research: Automatically extract, analyze, and synthesize information from multiple sources
Dynamic Insights: Real-time data enrichment and intelligent suggestions as you work

📚 Deep Research & Extraction

Multi-Source Processing: Extract data from documents, PDFs, images, web content, and databases
Semantic Understanding: Advanced AI models that comprehend document context and relationships
Structured Output: Automatically organize extracted information into meaningful table structures
Cross-Reference Analysis: Connect and verify information across multiple sources

🔄 Data Processing

Intelligent Schema Detection: Automatically adapt to and understand different data structures
Custom Workflows: Create sophisticated data processing pipelines with AI assistance
Version Control: Track changes and maintain data lineage
Export & Integration: Seamlessly export to various formats and integrate with your tools

🔒 Privacy & Security

Local LLM Support: Run with Local LLMs like Llama and Mistral, or use OpenAI vision models
Data Sovereignty: Keep sensitive data within your infrastructure
Open Source: AGPLv3 licensed for transparency and customization

🚀 Getting Started

Clone the repository
Run the docker compose file
Configure environment variables (see mockenv file)
Start exploring your data with agentic tables!

📚 Documentation

Visit our documentation for:

Comprehensive guides and tutorials
API reference
Advanced features documentation
Integration examples
Best practices for data analysis

🤝 Contributing

We welcome contributions! Here's how you can help:

Fork the repository
Create your feature branch (git checkout -b feature/AmazingFeature)
Commit your changes (git commit -m 'Add some AmazingFeature')
Push to the branch (git push origin feature/AmazingFeature)
Open a Pull Request

📝 License

This project is licensed under the AGPLV3 License - see the LICENSE file for details.

💬 Community & Support

Join our growing community:

🖥 Cloud Version

Try Rowfill Cloud (Alpha) at Rowfill Cloud

For early access, contact us

Note: This project is under active development. While core features are stable, we're continuously adding new capabilities and improvements.