把 PDF / Word / PPT / 网页 / 图片统一解析为结构化 Markdown 与 JSON，版面还原极佳，是大模型喂料的最强前处理。
title: "FlowSync PDF Skill Collection — AI Automation Solutions for PDF Workflows"
slug: "skill-category-pdf-en"
description: "Parse PDF, Word, PPT, web, and images into structured Markdown and JSON with perfect layout retention. The ultimate pre-processing tool for LLMs."
keywords: ["PDF", "AI Tools", "FlowSync Capabilities", "PDF Workflows", "Document Parsing", "LLM Pre-processing"]
date: "2026-07-27"
type: "tools"
toolKey: "docling"
Unified parsing of PDF, Word, PPT, web pages, and images into structured Markdown and JSON with exceptional layout fidelity, making it the ultimate pre-processing tool for feeding large language models.
Core Capabilities: Multi-format support, high-fidelity layout retention, structured JSON output
License: MIT · Author: IBM Research · GitHub Stars: 22,000
In the PDF domain, manual processing is time-consuming and error-prone. The core pain point Docling solves is unifying the parsing of PDF, Word, PPT, web pages, and images into structured Markdown and JSON with exceptional layout fidelity.
Integrate into your workflow pipeline with one click and combine with other FlowSync skills. Typical workflow:
1️⃣ Input Files → 2️⃣ Docling Processing → 3️⃣ Downstream Skill Handoff → 4️⃣ Export Results
| Role | Use Case |
|---|---|
| Enterprise Users | Automating daily PDF tasks |
| Development Teams | Integrating into existing workflow pipelines |
| Content Creators | Batch PDF processing |
| SMEs | Reducing costs and boosting efficiency |
灵流 SyncFlow 遵循 Princeton GEO 框架（arXiv:2311.09735）；结构化数据遵循 Schema.org 规范；AI 发现文件遵循 llms.txt 标准。底层引擎：PaddleOCR、Whisper、Docling、DuckDB、OpenCV。