Are you still struggling with handling various formats of unstructured documents? Fireworks AI has recently launched an innovative feature called "Document Inlining," which can convert unstructured documents such as PDFs, screenshots, and images into structured text that large language models (LLMs) can understand. This provides ready-to-use text content for chatbots and AI models, significantly enhancing the efficiency and accuracy of AI document processing.
The core of Document Inlining lies in its powerful composite AI system, which can automatically recognize and parse various contents within documents, including text, tables, charts, and complex nested layouts, allowing AI to comprehend these files just like reading ordinary text.
This tool is very easy to operate, requiring no complex setup. Even more impressively, it is compatible with the OpenAI API; users only need to add a line of code to their existing API to use the Document Inlining feature in Fireworks, without any additional learning costs.
The advantages of Document Inlining are mainly reflected in the following aspects:
High-Quality Output:
Document Inlining delivers text quality that can match or even surpass traditional text-based LLM outputs, especially excelling in reasoning and generation tasks. Compared to visual language models (VLMs), LLMs can generate more accurate and professional results after using text converted by Document Inlining. This indicates that structured text is easier for LLMs to understand and utilize.
Support for Multiple Document Formats:
Document Inlining successfully supports various document formats, including PDFs and images. For example, testing has shown that this tool can accurately extract academic information such as a candidate's GPA from PDF documents (like resumes), with results demonstrating clarity and accuracy, fully proving its powerful document parsing capabilities.
Complex Document Parsing Capability:
Document Inlining possesses strong capabilities for parsing complex documents. Testing has shown it can parse complex documents containing tables, charts, and multiple paragraphs of text, successfully converting them into text understandable by LLMs. This is undoubtedly a powerful tool for handling complex documents that contain various information elements.
Official website: https://fireworks.ai/blog/document-inlining-launch#quality-evaluation