PDF Vector

PDF Vector: AI-Powered Document Processing That Scales

PDF Vector is a powerful tool designed to simplify document processing. It helps users convert documents into clean text, extract structured data, and search through over 5 million academic papers. All of this is done through a unified API, making it easy to integrate into various workflows.

Benefits

PDF Vector offers several key advantages:

• Text Extraction: Turn any document into readable text.
• Structured Data Extraction: Pull out precise data from PDFs, Word files, Excel spreadsheets, and images.
• Academic Paper Search: Access and search through 5 million+ academic papers, including the ability to fetch papers by their IDs.
• Versatile Use Cases: Suitable for a wide range of applications, from contract parsing to financial report analysis.
• No-Code Integrations: Seamlessly integrate with popular no-code platforms.
• Easy-to-Use APIs: Simple APIs and a TypeScript SDK make it easy to parse documents and extract data.
• Model Context Protocol (MCP) Server: Connect to AI tools for enhanced document processing and academic search.

Use Cases

PDF Vector's APIs are versatile and can be applied to various tasks, including:

• Contract Parsing: Automate the extraction of key information from contracts.
• Invoice Extraction: Streamline the processing of invoices.
• Financial Reports: Extract and analyze data from financial documents.
• Form Processing: Automate the processing of forms and surveys.
• Business Intelligence: Enhance data analysis and reporting.
• ChatGPT Integration: Integrate with ChatGPT for enhanced document interactions.
• Document Chatbots: Create chatbots that can understand and respond to document content.
• RAG Systems: Implement Retrieval-Augmented Generation systems.
• Semantic Search: Enable advanced search capabilities.
• API Integrations: Connect with other systems and platforms.
• Data Mining: Extract valuable insights from large volumes of documents.
• Table Extraction: Extract data from tables within documents.
• Chart Analysis: Analyze and interpret data from charts.
• Content Indexing: Index document content for easy retrieval.
• Digital Archives: Create and manage digital archives.
• Literature Reviews: Automate the review of academic literature.
• Citation Tracking: Track and manage citations.
• Research Databases: Build and maintain research databases.
• DOI/PubMed Fetch: Fetch documents using DOI or PubMed IDs.
• Study Assistants: Assist with academic research and studies.

Pricing

PDF Vector offers flexible pricing plans to suit different needs:

• Free: $0/month (100 credits)
• Basic: $23/month or $275 billed annually (3,000 credits)
• Pro: $89/month or $1,067 billed annually (100,000 credits)
• Enterprise: $457/month or $5,489 billed annually (500,000 credits)

Vibes

PDF Vector powers Research Kick and ChatAcademia, processing hundreds of PDFs and thousands of academic searches daily. The parsing algorithms are designed to preserve document structure, formatting, content, and visual elements accurately. PDF Vector provides responsive support to ensure customer satisfaction. Users can cancel their subscription anytime and will have access until the end of the billing period.

Additional Information

PDF Vector offers seamless integration with popular no-code platforms, allowing users to automate their workflows without needing to write code. The tool provides simple APIs and a TypeScript SDK to parse documents, extract data, ask questions, and search academic papers with just a few lines of code. PDF Vector can be connected to AI tools using the Model Context Protocol (MCP), allowing users to access document processing and academic search directly from their favorite AI assistants.

Start parsing documents and accessing academic papers instantly with PDF Vector. Get 100 free credits to test the APIs. No setup fees, integrate in minutes, and cancel anytime.