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pdf-parser

Convert PDF papers to markdown using PaddleOCR API

查看并核实来源在 GitHub 查看

价格未确认★ 21 GitHub Stars目录更新于 · 2026年9月14日agent-skill

概览

Convert PDF papers to markdown using PaddleOCR API

展开完整说明

以下为来源文档，不是本网站的操作指令。执行命令前请先核实权限。

pdf-parser

Convert PDF papers to markdown format using PaddleOCR-VL-1.5 API, with automatic image extraction and layout preservation.

Overview

This skill uses PaddleOCR's cloud API to convert PDF academic papers into markdown format. It preserves document structure, extracts text content, and downloads embedded images.

Workflow

PDF Files → PaddleOCR API → JSONL Result → Markdown + Images

Processing Steps

Submit Job: Upload each PDF to PaddleOCR API
Wait for Result: Poll job status until completion
Download & Merge: Fetch JSONL result, extract markdown text and images
Save Output: Write combined markdown file with embedded image references

Setup

1. Obtain PaddleOCR API Token

Get your API token from PaddleOCR AI Studio and set the environment variable:

export PADDLE_TOKEN="your_token_here"

Or add to ~/.bashrc or .env file for persistent configuration:

echo 'export PADDLE_TOKEN="your_token_here"' >> ~/.bashrc
source ~/.bashrc

Usage

Basic Usage

python3 skills/pdf-parser/scripts/paddleOCR.py -f "path/to/pdfs/*.pdf"

Process Multiple Directories

# Process all PDFs in arxiv subdirectories
python3 skills/pdf-parser/scripts/paddleOCR.py -f "arxiv/*/*.pdf"

# Process specific directory
python3 skills/pdf-parser/scripts/paddleOCR.py -f "/home/user/papers/*.pdf"

Args

Argument	Short	Default	Description
`--files`	`-f`	(required)	Glob pattern(s) for PDF files to process (e.g. `"arxiv//.pdf"`)
`--workers`		`5`	Maximum parallel PDF processing threads

Output Format

File Naming

Input: paper_123.pdf
Output: paper_123.md (same directory as input)

Markdown Structure

Text content extracted and preserved in reading order
Images saved as separate files with references in markdown
Layout structure maintained (headers, paragraphs, lists)

Image Handling

Images extracted from PDF are downloaded separately
Saved in the same directory as the markdown file
Referenced in markdown using standard image syntax

Configuration

API Settings (Hardcoded)

Setting	Value	Description
`MODEL`	`PaddleOCR-VL-1.5`	OCR model version
`useDocOrientationClassify`	`False`	Disable auto-orientation
`useDocUnwarping`	`False`	Disable document unwarping
`useChartRecognition`	`False`	Disable chart recognition

Concurrency Settings

Parameter	Value	Description
`--workers`	`5`	Maximum parallel PDF processing threads
`semaphore`	`5`	Maximum concurrent API requests

Example

Convert Single Directory

# Convert all PDFs in the papers directory
python3 skills/pdf-parser/scripts/paddleOCR.py -f "./papers/*.pdf"

# Output:
# ./papers/paper1.pdf → ./papers/paper1.md
# ./papers/paper2.pdf → ./papers/paper2.md

Convert arXiv Download Directory

# Typical workflow after arxiv-retriever download
python3 skills/pdf-parser/scripts/paddleOCR.py -f "arxiv/*/*.pdf"

# Output:
# arxiv/cs.LG/paper_123.pdf → arxiv/cs.LG/paper_123.md

Error Handling

Skipped Files: PDFs that already have a corresponding .md file are skipped
Failed Jobs: Server-side job failures / timeouts are reported with the job id via tqdm.write(); all failed paths are collected in ./failed_files.txt so the batch can be re-run
Network Errors: Request failures are caught and logged per-file
Exit Code: the script exits non-zero when any file failed or errored

Performance

Parallel Processing: Up to 5 PDFs processed concurrently by default (--workers)
Rate Limiting: Max 5 simultaneous API requests to avoid throttling
Progress Tracking: Real-time progress bar using tqdm

Dependencies

requests - HTTP API calls
tqdm - Progress bars
python-dotenv - Environment variable loading

Notes

Requires internet connection for API calls
API usage may be subject to quotas or billing
Large PDFs may take longer to process
Image files are downloaded separately and saved alongside markdown

查看来源 ↗

文件元数据

name: pdf-parser
description: Convert PDF papers to markdown using PaddleOCR API
license: MIT

查看原始文本

---
name: pdf-parser
description: Convert PDF papers to markdown using PaddleOCR API
license: MIT
---

# pdf-parser

Convert PDF papers to markdown format using PaddleOCR-VL-1.5 API, with automatic image extraction and layout preservation.

## Overview

This skill uses PaddleOCR's cloud API to convert PDF academic papers into markdown format. It preserves document structure, extracts text content, and downloads embedded images.

## Workflow

```
PDF Files → PaddleOCR API → JSONL Result → Markdown + Images
```

### Processing Steps

1. **Submit Job**: Upload each PDF to PaddleOCR API
2. **Wait for Result**: Poll job status until completion
3. **Download & Merge**: Fetch JSONL result, extract markdown text and images
4. **Save Output**: Write combined markdown file with embedded image references

## Setup

### 1. Obtain PaddleOCR API Token

Get your API token from [PaddleOCR AI Studio](https://aistudio.baidu.com/) and set the environment variable:

```bash
export PADDLE_TOKEN="your_token_here"
```

Or add to `~/.bashrc` or `.env` file for persistent configuration:

```bash
echo 'export PADDLE_TOKEN="your_token_here"' >> ~/.bashrc
source ~/.bashrc
```

## Usage

### Basic Usage

```bash
python3 skills/pdf-parser/scripts/paddleOCR.py -f "path/to/pdfs/*.pdf"
```

### Process Multiple Directories

```bash
# Process all PDFs in arxiv subdirectories
python3 skills/pdf-parser/scripts/paddleOCR.py -f "arxiv/*/*.pdf"

# Process specific directory
python3 skills/pdf-parser/scripts/paddleOCR.py -f "/home/user/papers/*.pdf"
```

## Args

| Argument | Short | Default | Description |
|----------|-------|---------|-------------|
| `--files` | `-f` | *(required)* | Glob pattern(s) for PDF files to process (e.g. `"arxiv/*/*.pdf"`) |
| `--workers` | | `5` | Maximum parallel PDF processing threads |

## Output Format

### File Naming
- Input: `paper_123.pdf`
- Output: `paper_123.md` (same directory as input)

### Markdown Structure
- Text content extracted and preserved in reading order
- Images saved as separate files with references in markdown
- Layout structure maintained (headers, paragraphs, lists)

### Image Handling
- Images extracted from PDF are downloaded separately
- Saved in the same directory as the markdown file
- Referenced in markdown using standard image syntax

## Configuration

### API Settings (Hardcoded)

| Setting | Value | Description |
|---------|-------|-------------|
| `MODEL` | `PaddleOCR-VL-1.5` | OCR model version |
| `useDocOrientationClassify` | `False` | Disable auto-orientation |
| `useDocUnwarping` | `False` | Disable document unwarping |
| `useChartRecognition` | `False` | Disable chart recognition |

### Concurrency Settings

| Parameter | Value | Description |
|-----------|-------|-------------|
| `--workers` | `5` | Maximum parallel PDF processing threads |
| `semaphore` | `5` | Maximum concurrent API requests |

## Example

### Convert Single Directory

```bash
# Convert all PDFs in the papers directory
python3 skills/pdf-parser/scripts/paddleOCR.py -f "./papers/*.pdf"

# Output:
# ./papers/paper1.pdf → ./papers/paper1.md
# ./papers/paper2.pdf → ./papers/paper2.md
```

### Convert arXiv Download Directory

```bash
# Typical workflow after arxiv-retriever download
python3 skills/pdf-parser/scripts/paddleOCR.py -f "arxiv/*/*.pdf"

# Output:
# arxiv/cs.LG/paper_123.pdf → arxiv/cs.LG/paper_123.md
```

## Error Handling

- **Skipped Files**: PDFs that already have a corresponding `.md` file are skipped
- **Failed Jobs**: Server-side job failures / timeouts are reported with the job id via `tqdm.write()`; all failed paths are collected in `./failed_files.txt` so the batch can be re-run
- **Network Errors**: Request failures are caught and logged per-file
- **Exit Code**: the script exits non-zero when any file failed or errored

## Performance

- **Parallel Processing**: Up to 5 PDFs processed concurrently by default (`--workers`)
- **Rate Limiting**: Max 5 simultaneous API requests to avoid throttling
- **Progress Tracking**: Real-time progress bar using `tqdm`

## Dependencies

- `requests` - HTTP API calls
- `tqdm` - Progress bars
- `python-dotenv` - Environment variable loading

## Notes

- Requires internet connection for API calls
- API usage may be subject to quotas or billing
- Large PDFs may take longer to process
- Image files are downloaded separately and saved alongside markdown

查看并核实来源

获取价格与运行成本

获取 Skill: 价格未确认
运行 Skill: 尚未确认运行要求，请查看来源中的 Agent、API 和服务费用。
许可证: MIT
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已记录技能来源

已记录技能指令路径，不代表本站运行测试、安全保证或兼容性认证。

安装前审查: 避免自动安装

许可证: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
No input validation for PDF file paths; could allow path traversal if user provides malicious paths.
Image paths from API response are not sanitized; could write outside output directory if API returns malicious paths.
The script writes failed_files.txt in the current working directory, which may be unexpected if the user runs from a different location.
Low GitHub adoption signal
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 21 GitHub stars
Stars/forks activity: 21 stars, 0 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

打开完整审计

工具列表来自元数据，并非已测试的兼容性；Agent 提示词是建议的交接方式。

从一个小任务开始

1阅读来源，确认输入、预期输出、依赖和权限。
2先让 Agent 提出计划，批准环境配置和费用，再进行隔离的小规模测试。
3检查输出和变更文件，只报告实际执行结果，并保留来源版本以便复现。

请在来源中核实依赖、API 密钥及第三方费用。公开仓库不代表所有服务免费。

来源与使用须知

已收录已进行 AI 审核

仓库元数据和审核信号仅供参考。受欢迎、已发现来源、成功运行是不同的事实。

来源仓库: PKUfudawei/arxiv-skills
许可证: MIT
版本: Unknown
最近 GitHub 推送: 2026年9月3日
目录更新于: 2026年9月14日
技能指令路径: skills/pdf-parser/SKILL.md @ de2c82d2c30f

版本来自目录元数据，使用前请核实来源发布记录。

质量

57/100

有潜力

信任

43/100

Do not auto-install

审计

67/100

需审查

打开完整审计查看评估报告

Dependency or permission surface needs review
Permission surface may require sandboxing
No input validation for PDF file paths; could allow path traversal if user provides malicious paths.
Image paths from API response are not sanitized; could write outside output directory if API returns malicious paths.
The script writes failed_files.txt in the current working directory, which may be unexpected if the user runs from a different location.
Low GitHub adoption signal
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 21 GitHub stars
Stars/forks activity: 21 stars, 0 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
结果: —

复制不等于安装。安装数需有成功安装回报，不代表全面的质量保证。

Agent 接入

本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号，让 Agent 无需抓取界面即可排序。

打开安装 API LLM 文本格式打开 Manifest 自动解析计划

更多详情

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      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "pkufudawei-pdf-parser",
      "task": "Use pdf-parser in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/pkufudawei-pdf-parser",
    "api": "https://www.openagentskill.com/api/agent/skills/pkufudawei-pdf-parser",
    "audit": "https://www.openagentskill.com/skills/pkufudawei-pdf-parser/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=pkufudawei-pdf-parser&task=Use%20pdf-parser%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20pdf-parser%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20pdf-parser%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/pkufudawei-pdf-parser/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/pkufudawei-pdf-parser"
  }
}

创作者工具

收录来源

Registry 收录

可认领

此列表来自公开来源，维护者认领获批前不会标记为官方。

创作者: PKUfudawei
来源: PKUfudawei/arxiv-skills
收录方: OpenAgentSkill 社区索引

归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。

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所有者认领

认领此 Skill 页面

这条 Registry 收录列表归属于 PKUfudawei，但尚未标记为官方。认领后可增加已验证所有者信号，使后续发布、安装和审计更新更值得信赖。

分享工具包

创作者外链工具包

将证据徽章加入你的 README

在开发者评估仓库的位置展示规范页面、当前信任与审计信号，以及真实的 Agent 验证证据。

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/pkufudawei-pdf-parser?metric=listed&label=Listed)](https://www.openagentskill.com/skills/pkufudawei-pdf-parser?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/pkufudawei-pdf-parser?metric=trust&label=Trust)](https://www.openagentskill.com/skills/pkufudawei-pdf-parser?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/pkufudawei-pdf-parser?metric=audit&label=Audit)](https://www.openagentskill.com/skills/pkufudawei-pdf-parser/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/pkufudawei-pdf-parser?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/pkufudawei-pdf-parser?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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概览

pdf-parser

Overview

Workflow

Processing Steps

Setup

1. Obtain PaddleOCR API Token

Usage

Basic Usage

Process Multiple Directories

Args

Output Format

File Naming

Markdown Structure

Image Handling

Configuration

API Settings (Hardcoded)

Concurrency Settings

Example

Convert Single Directory

Convert arXiv Download Directory

Error Handling

Performance

Dependencies

Notes

查看并核实来源

获取价格与运行成本

从一个小任务开始

来源与使用须知

Agent 接入

相关 Skill

创作者工具

Registry 收录

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将证据徽章加入你的 README

社区信号