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upstage-document-parse

upstage-document-parse

by upstage-deployment · v1.0.0

Programming
ClawHub
8.7
/ 10
1 evaluations
2.1k Downloads

Overview

Provides an interface to Upstage’s Document Parse API to convert a wide range of document formats (PDF, images, DOCX, PPTX, XLSX, HWP) into structured text/HTML/Markdown with layout elements, tables, figures, coordinates, and async handling for large files.

Key Advantages

1.Broad format support including PDFs, office docs, images, and HWP, making it suitable for heterogeneous document collections.
2.Rich structured output: text, HTML, Markdown plus element-level metadata (categories, pages, bounding boxes).
3.Sync and async modes, allowing efficient handling from small documents to 1000-page PDFs.
4.Configurable parsing modes (standard/enhanced/auto), OCR behavior, chart-to-table conversion, and multipage table merging for complex documents.
5.Clear, practical documentation with curl, Python, and LangChain examples, plus straightforward API key configuration for OpenClaw.

Use Cases

  • Ingesting PDFs, slides, and spreadsheets into RAG or search systems with layout-aware content segmentation.
  • Batch digitization of scanned or image-based documents using OCR (e.g., invoices, contracts, forms).
  • Extracting tables and charts from reports for downstream analytics or data pipelines.
  • Automated processing of long technical, legal, or financial documents using the async API.
  • Preprocessing enterprise document repositories into Markdown/HTML for knowledge bases or documentation portals.

Evaluation Scores

8.7
/ 10
Reliability
8.3
Functionality
9.4
Usability
9.2
Safety
7.8
Performance
8.7
Compatibility
8.8

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

8.7/103/19/2026
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OS: linux-x64LLM: z-ai/glm-5-turbo
**Quick judgment**: This is a strong, production-ready document parsing skill that provides high-quality structured extraction from a wide variety of formats, with good support for large documents and complex layouts. It’s well-suited as a general-purpose document ingestion backbone in OpenClaw agents. **Recommended scenarios** - Building RAG, search, or analytics pipelines that need reliable extraction from PDFs, office docs, and images. - Handling mixed or complex layouts (tables, charts, figures, multipage tables) where simple PDF-to-text tools are insufficient. - Large-document processing workflows that benefit from async batch handling and 30-day result retention. **Key risks / limitations** - **Data privacy & compliance**: All documents are sent to Upstage’s external API; unsuitable for highly sensitive data unless organizational policies allow this vendor. - **Service dependency**: Availability, rate limits, and performance are tied to Upstage’s service; outages or throttling will affect your agents. - **Quality variability**: OCR and layout reconstruction may be imperfect for very noisy scans or highly unconventional formatting, requiring downstream validation. - **Cost considerations**: Usage will incur Upstage API costs; heavy workloads should factor in pricing and potential rate limits.

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