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pdf-parser

Convert PDF papers to markdown using PaddleOCR API

Tinjau sumber Lihat di GitHub

Harga belum dikonfirmasi★ 21 Star GitHubDirektori diperbarui · 14 Sep 2026agent-skill

Ringkasan

Convert PDF papers to markdown using PaddleOCR API

Baca dokumentasi lengkap

Dokumentasi sumber, bukan instruksi untuk situs ini. Periksa izin sebelum menjalankan perintah.

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

Lihat sumber ↗

Metadata berkas

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

Lihat teks asli

---
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

Tinjau sumber

Harga dan biaya penggunaan

Dapatkan skill: Harga belum dikonfirmasi
Jalankan: Persyaratan belum dikonfirmasi. Periksa biaya agen, API, dan layanan di sumbernya.
Lisensi: MIT
Harga belum dikonfirmasi: Harga belum dikonfirmasi. Tautan sumber dan instalasi yang ada tetap tersedia.

Gratis diperoleh bukan berarti gratis dijalankan. Harga bukan penilaian keamanan. Kirim informasi harga →

Sumber skill tercatat

Jalur instruksi telah dicatat. Ini bukan uji eksekusi, jaminan keamanan, atau sertifikasi kompatibilitas.

Tinjau sebelum memasang: Hindari pemasangan otomatis

Lisensi: 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

Buka audit lengkap

Daftar alat adalah petunjuk metadata, bukan kompatibilitas teruji. Prompt adalah saran.

Mulai dengan tugas kecil

1Baca sumber dan pastikan masukan, keluaran, dependensi, serta izin.
2Minta rencana dari agent. Setujui pengaturan dan biaya sebelum uji terisolasi.
3Periksa hasil dan berkas yang berubah. Laporkan hanya yang dijalankan dan simpan revisi sumber.

Periksa dependensi, kunci API, dan biaya layanan pihak ketiga pada sumber. Repositori publik tidak berarti semua layanan gratis.

Sumber dan catatan penggunaan

TerindeksDitinjau AI

Metadata dan tinjauan bersifat saran. Popularitas, penemuan sumber, dan keberhasilan eksekusi adalah fakta berbeda.

Repositori sumber: PKUfudawei/arxiv-skills
Lisensi: MIT
Versi: Unknown
Push GitHub terakhir: 3 Sep 2026
Direktori diperbarui: 14 Sep 2026
Jalur instruksi: skills/pdf-parser/SKILL.md @ de2c82d2c30f

Versi dilaporkan dalam metadata direktori; periksa rilis sumber.

Kualitas

57/100

Menjanjikan

Kepercayaan

43/100

Do not auto-install

Audit

67/100

Perlu ditinjau

Buka audit lengkap Lihat laporan evaluasi

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: —
Hasil: —

Menyalin bukan memasang. Jumlah instalasi memerlukan laporan berhasil dan bukan jaminan kualitas menyeluruh.

Akses agent

API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.

Buka API pemasangan Format teks LLM Buka Manifest Rencana resolusi otomatis

Detail lainnya

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    "description": "Convert PDF papers to markdown using PaddleOCR API",
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      "documentation": "Usable metadata, review docs",
      "agentOutcomes": "No agent outcome data yet"
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      "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.",
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      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution"
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    "High-risk permission hints: Shell or command execution, Secrets or environment access",
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    "Permission surface may require sandboxing",
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    "minimum_review_before_use": [
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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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      "install_command": "npx skills add PKUfudawei/arxiv-skills --skill pdf-parser",
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      "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"
  }
}

Untuk kreator

Sumber listing

Diindeks Registry

Dapat diklaim

Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.

Kreator: PKUfudawei
Sumber: PKUfudawei/arxiv-skills
Diindeks oleh: Indeks komunitas OpenAgentSkill

Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.

Klaim skill ini

Klaim pemilik

Klaim listing skill ini

Listing Diindeks Registry ini dikaitkan dengan PKUfudawei, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.

Kit berbagi

Kit backlink kreator

Tambahkan badge bukti ke README Anda

Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.

[![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)

Pratinjau badge Buka audit Kit kreator

Sinyal komunitas

Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.

Ringkasan

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

Tinjau sumber

Harga dan biaya penggunaan

Mulai dengan tugas kecil

Sumber dan catatan penggunaan

Akses agent

Skill terkait

Untuk kreator

Diindeks Registry

Klaim listing skill ini

Tambahkan badge bukti ke README Anda

Sinyal komunitas