TextIn xParse

As described on AWS Marketplace.

Rebuilt from the ground up with LLMs and beyond traditional OCR, TextIn xParse excels in processing all types of complex documents, breaking down arbitrary layouts into semantically complete paragraphs and restoring reading order for large model adaptability. Boasting industry-leading table recognition, it resolves merged cells, multi-page tables and borderless tables with ease, and integrates seamlessly with image processing to handle watermarked and curved documents. As an intelligent ETL solution, it enables zero-sample key information extraction, cross-document retrieval and intelligent document classification, solving large model pain points like unstable output and length truncation. TextIn xParse generates high-quality Chunks with semantic relationship labeling, coordinate and chapter information, boosting RAG Q&A accuracy and search efficiency, and supports one-click import to mainstream RAG frameworks including RagFlow, Dify and Coze. It builds a solid document infrastructure for enterprise scenarios like Knowledge Q&A, Agent Enablement, Data Entry and Data Cleaning, automating unstructured data processing, reducing manual workload and maximizing data asset value. Trusted by global leading enterprises, it delivers efficient, accurate document processing capabilities for mission-critical business scenarios.

Highlighted by the publisher on AWS Marketplace.

LLM-Powered Document Parsing: Beyond OCR, realizes accurate structured conversion of complex unstructured documents and adapts perfectly to large model application needs

High-Quality RAG Empowerment: Generates semantic-optimized Chunks to improve Q&A accuracy and search efficiency, supporting one-click access to mainstream RAG frameworks

Intelligent ETL Pipeline: Achieves zero-sample extraction, cross-document retrieval and intelligent classification, maximizing enterprise unstructured data asset value

As stated by the publisher on AWS Marketplace.

nonrefundable