Indexé dans Registry
pdf-parser
Convert PDF papers to markdown using PaddleOCR API
Vue d’ensemble
Convert PDF papers to markdown using PaddleOCR API
Lire la documentation complète
Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.
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
.mdfile 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.txtso 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 callstqdm- Progress barspython-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
Métadonnées du fichier
name: pdf-parser description: Convert PDF papers to markdown using PaddleOCR API license: MIT
Voir le texte 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
Examiner la source
Prix et coûts d’utilisation
- Obtenir le skill
- Prix non confirmé
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- Prérequis non confirmés. Consultez les frais d’agent, d’API et de services à la source.
- Licence
- MIT
- Prix non confirmé
- Le prix n’est pas confirmé. Les liens existants vers les sources et l’installation restent disponibles.
Gratuit à obtenir ne signifie pas gratuit à utiliser. Le prix ne constitue pas une évaluation de sécurité. Soumettre un prix →
Source du skill enregistrée
Un chemin vers les instructions est enregistré. Cela ne constitue pas un test, une garantie de sécurité ou de compatibilité.
Réviser avant installation: Éviter l’installation automatique
Licence: 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
Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.
Commencer par une petite tâche
- 1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
- 2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
- 3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.
Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.
Source et conseils d’utilisation
Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.
- Dépôt source
- PKUfudawei/arxiv-skills
- Licence
- MIT
- Version
- Unknown
- Dernier push GitHub
- 3 sept. 2026
- Registre mis à jour
- 14 sept. 2026
- Chemin des instructions
- skills/pdf-parser/SKILL.md @ de2c82d2c30f
Version déclarée dans le registre ; vérifiez les versions de la source.
Qualité
57/100
Prometteur
Confiance
43/100
Do not auto-install
Audit
67/100
Revue nécessaire
- 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
- —
- Résultats
- —
Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.
Accès agent
L’API Registry fournit les signaux de décision, confiance, audit, cas d’usage et installation sans analyser l’interface.
Plus de détails
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"slug": "pkufudawei-pdf-parser",
"name": "pdf-parser",
"description": "Convert PDF papers to markdown using PaddleOCR API",
"category": "document-processing",
"url": "https://www.openagentskill.com/skills/pkufudawei-pdf-parser",
"repository": "https://github.com/PKUfudawei/arxiv-skills/tree/master/skills/pdf-parser",
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"license": "MIT",
"repository": "https://github.com/PKUfudawei/arxiv-skills/tree/master/skills/pdf-parser",
"install": "npx skills add PKUfudawei/arxiv-skills --skill pdf-parser",
"installSafety": "standard package or runtime install path",
"permissionSurface": "secrets or environment access, shell or command execution",
"documentation": "Usable metadata, review docs",
"agentOutcomes": "No agent outcome data yet"
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"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
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"Image paths from API response are not sanitized; could write outside output directory if API returns malicious paths."
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"Audit: 67/100 Needs review",
"Safety: 27/100 Avoid automatic install",
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"manifest": "https://www.openagentskill.com/api/registry/manifest/pkufudawei-pdf-parser"
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}Pour le créateur
Source de la fiche
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- Créateur
- PKUfudawei
- Source
- PKUfudawei/arxiv-skills
- Indexé par
- Index communautaire OpenAgentSkill
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Revendiquer ce skillRevendication du propriétaire
Revendiquer cette fiche de skill
Cette fiche Indexé par Registry est attribuée à PKUfudawei, mais n’est pas encore marquée officielle. Revendiquez-la pour ajouter un signal de propriétaire vérifié et rendre les futures mises à jour de lancement, d’installation et d’audit plus fiables.
Kit de partage
Kit de backlinks créateur
Ajoutez les badges de preuve à votre README
Affichez la fiche canonique, les signaux actuels de confiance et d’audit, ainsi que de vraies preuves Agent-Proven là où les développeurs évaluent le dépôt.
[](https://www.openagentskill.com/skills/pkufudawei-pdf-parser?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/pkufudawei-pdf-parser?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/pkufudawei-pdf-parser/audit)
[](https://www.openagentskill.com/skills/pkufudawei-pdf-parser?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Signal de communauté
Indiquez si ce skill semble utile à votre workflow Agent. Les retours agrégés améliorent le classement au fil du temps.
