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pdf-parser

Convert PDF papers to markdown using PaddleOCR API

Revisar el código fuente Ver en GitHub

Precio sin confirmar★ 21 Estrellas de GitHubRegistro actualizado · 14 sept 2026agent-skill

Resumen

Convert PDF papers to markdown using PaddleOCR API

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Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

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

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Metadatos del archivo

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

Ver texto original

---
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

Revisar el código fuente

Precio y costes de ejecución

Obtener el skill: Precio sin confirmar
Ejecutarlo: Requisitos sin confirmar. Consulta los costes del agente, API y servicios en la fuente.
Licencia: MIT
Precio sin confirmar: No hemos confirmado el precio. Los enlaces existentes al código y a la instalación siguen disponibles.

Obtener gratis no significa ejecutar gratis. El precio no es una evaluación de seguridad. Enviar información de precio →

Fuente del skill registrada

La ruta de instrucciones está registrada. No implica pruebas de ejecución, seguridad ni compatibilidad.

Revisar antes de instalar: Evitar instalación automática

Licencia: 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

Abrir auditoría completa

Las herramientas son indicios de metadatos, no compatibilidad probada. Los prompts son sugerencias.

Empieza con una tarea pequeña

1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.

Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.

Fuente y notas de uso

IndexadoRevisado por IA

Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.

Repositorio fuente: PKUfudawei/arxiv-skills
Licencia: MIT
Versión: Unknown
Último push de GitHub: 3 sept 2026
Registro actualizado: 14 sept 2026
Ruta de instrucciones: skills/pdf-parser/SKILL.md @ de2c82d2c30f

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

57/100

Prometedor

Confianza

43/100

Do not auto-install

Auditoría

67/100

Requiere revisión

Abrir auditoría completa Ver informe de evaluación

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: —
Resultados: —

Copiar no es instalar. Los recuentos requieren un informe de instalación correcta, no garantizan calidad general.

Acceso para agentes

La API Registry expone señales de decisión, confianza, auditoría, casos de uso e instalación sin raspar la interfaz.

Abrir API de instalación Formato de texto LLM Abrir Manifest Plan de resolución automática

Más detalles

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      "The script writes failed_files.txt in the current working directory, which may be unexpected if the user runs from a different location.",
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      "Quality score needs review",
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    "Permission surface may require sandboxing",
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      "Audit: 67/100 Needs review",
      "Safety: 27/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
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  "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"
  }
}

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Creador: PKUfudawei
Fuente: PKUfudawei/arxiv-skills
Indexado por: Índice comunitario de OpenAgentSkill

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[![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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Resumen

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

Revisar el código fuente

Precio y costes de ejecución

Empieza con una tarea pequeña

Fuente y notas de uso

Acceso para agentes

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