Document Parser by Contextual AI
Document Parser by Contextual AI is an advanced document parsing platform that combines custom vision, OCR, and vision language models to accurately extract and structure information from various document formats while maintaining contextual relevance for RAG applications.
https://docs.contextual.ai/api-reference/parse/parse-file?ref=aipure
Product Information
Updated:May 16, 2025
Document Parser by Contextual AI Monthly Traffic Trends
Document Parser by Contextual AI received 384.0 visits last month, demonstrating a Significant Decline of -73.3%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history trafficWhat is Document Parser by Contextual AI
Document Parser by Contextual AI is a powerful document understanding solution that transforms unstructured documents into well-structured, machine-readable formats. The platform can process multiple document types including PDF, DOC/DOCX, PPT/PPTX files up to 100MB and 400 pages. It's specifically designed to work with modern AI applications, particularly for Retrieval-Augmented Generation (RAG) use cases, making it the world's first genAI-native document parsing platform.
Key Features of Document Parser by Contextual AI
Document Parser by Contextual AI is an advanced document parsing platform that combines custom vision, OCR, and vision language models to deliver high-accuracy document processing. It supports multiple file formats including PDF, DOC(X), PPT(X), and HTML, with capabilities to extract structured information, maintain document hierarchy, handle complex tables, and process images with captions. The parser is specifically designed to enhance RAG (Retrieval Augmented Generation) applications by providing context-aware chunking and maintaining semantic coherence.
Layout-Aware Parsing: Takes document layout into account during chunking to improve semantic coherence and reduces noise in content, ensuring all text in a chunk comes from the same layout entity
Smart Table Processing: Offers configurable table splitting functionality with header propagation to improve LLM comprehension of large tables
Document Hierarchy Support: Generates table of contents and maintains document structure with proper heading levels (H1, H2, H3) for better content organization
Flexible Configuration Options: Provides multiple parsing modes (basic and standard) with customizable settings for document hierarchy, table splitting, and figure caption handling
Use Cases of Document Parser by Contextual AI
Enterprise Document Management: Process and organize large volumes of corporate documents while maintaining their structural integrity and relationships
AI-Powered Search Systems: Enable sophisticated document search and retrieval by creating context-aware chunks suitable for RAG applications
Content Analysis and Processing: Extract and analyze information from complex documents containing tables, images, and hierarchical content for business intelligence
Pros
High accuracy in document parsing through combination of multiple AI technologies
Extensive support for different file formats and document structures
Specialized features for RAG applications and LLM integration
Cons
File size limited to 100MB and 400 pages
Some features not available in basic parsing mode
Requires technical integration through API
How to Use Document Parser by Contextual AI
1. Get API Access: Request an API key via the 'Request Access' button on the Contextual documentation page or website. Only admins within a tenant can create API keys.
2. Prepare Your Document: Ensure your document meets the requirements: less than 100MB, less than 400 pages, and in supported formats (PDF, DOC/DOCX, PPT/PPTX).
3. Make Parse Request: Send a POST request to https://api.contextual.ai/v1/parse with your document as multipart/form-data. Include your API token in the Authorization header as 'Bearer <token>'.
4. Configure Parsing Options: Set parsing parameters in your request: parse_mode (basic/standard), enable_document_hierarchy (true/false), figure_caption_mode (concise/detailed), and optional page_range.
5. Get Job ID: After successful submission, you'll receive a job_id in the response. Save this ID to check the parsing status and retrieve results.
6. Check Parse Status: Use the job_id to check the status of your parsing job by making a GET request to the parse status endpoint.
7. Retrieve Results: Once parsing is complete, use the job_id to retrieve your parsed document in structured Markdown and/or JSON format from the parse result endpoint.
Document Parser by Contextual AI FAQs
The parser supports PDF, DOC/DOCX, and PPT/PPTX files. For DOC(X) and PPT(X) files, they are converted to PDF using LibreOffice before processing.
Analytics of Document Parser by Contextual AI Website
Document Parser by Contextual AI Traffic & Rankings
384
Monthly Visits
-
Global Rank
-
Category Rank
Traffic Trends: Feb 2025-Apr 2025
Document Parser by Contextual AI User Insights
-
Avg. Visit Duration
1.09
Pages Per Visit
45.56%
User Bounce Rate
Top Regions of Document Parser by Contextual AI
US: 65.83%
IN: 34.17%
Others: NAN%
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