TextIn xParse Transform complex documents into structured data
Allow any document's information to flow efficiently and accurately into your database, transforming unstructured content into valuable data assets that can be queried and analyzed. Compatible with relational databases and vector databases.
Trusted by 1000+ Leading Enterprises Worldwide
xParse for the ETL pipeline
Helping unstructured document process, maximizing the value of your data assets, designed for
applications like data structuring pipeline, chatbot, agent, etc.
The new standard in document intelligence
Traditional OCR wasn't built for today's challenges. We rebuilt document AI from the ground up
with LLMs to handle your most complex use cases with unrivaled performance.
Beyond OCR, Document parsing that is
more user-friendly for large models
Break down documents of any layout into semantically complete paragraphs and restore them in reading order, making them more adaptable to large models.
Industry-leading table recognition capabilities easily solve recognition challenges such as merged cells, tables that span multiple pages, and tables with no margins.
Seamlessly integrated with the image processing capabilities of the TextIn platform, it can handle documents with watermarks and curved images.
ETL in the new era:
More accurate and intelligent
Extract key information from any scenario with zero samples, even from diverse documents, with a single configuration.
Even if you don't know which file a field is located in, xParse supports cross-document extraction.
Specially tuned for large models, it resolves issues like unstable output and truncation due to insufficient length.
Supports intelligent document classification, allowing for adaptable extraction templates for different documents.
High-quality Chunk brings
High-quality RAG Q&A
Higher-precision element restoration makes LLM answers more accurate.
Output semantic relationships between elements, such as merging paragraphs across pages and associating images with annotations, for more efficient search.
Add coordinates, page, and chapter information to chunks to improve search performance.
One-click import into downstream RAG frameworks such as RagFlow, Dify, and Coze.
xParse, making documents more RAG-ready
High-quality chunks lead to high-quality answers. xParse helps you easily process complex documents.
Merge elements across pages
Complex table parsing
Picture and text association
Title level identification
Don't just take our word for it
"We had invested significant resources into developing our own table parsing technology, but its accuracy still fell short of TextIn's solution. After integrating their API, we achieved better performance at a lower overall cost."
Technical Lead
A major financial data provider
"What used to take me most of the day in manual processing now only requires about 30 minutes of verification with TextIn. The speed improvement has been dramatic."
Data Operations Supervisor
A freight logistics company
"Document parsing is foundational to knowledge base systems. After extensive evaluation of available options, TextIn delivered the most reliable and accurate parsing results."
Product Lead
An AI knowledge management company
"TextIn's table recognition capabilities stood out during our assessment. It consistently handles complex table structures with impressive accuracy."
Engineering Specialist
A manufacturing group R&D center
"TextIn's speed in processing long-form documents is remarkable. Even our high-performance internal cluster couldn't match it. This capability is crucial for our real-time Q&A applications."
IT Manager
A financial services company
"Our initial implementation using open-source PDF parsing drew consistent user complaints. After switching to TextIn, we saw a significant reduction in negative feedback."
R&D Lead
An AI technology company
Document infrastructure for every use case
From prototype to production, build any document experience you
can imagine on a foundation that’s always at the cutting edge.
01
Knowledge
Q&A
FILE PARSING
Leverage Retrieval-Augmented Generation (RAG) to transform your knowledge base into an intelligent question-answering system. Break down complex documents into structured data, enabling precise, scalable, and context-aware responses for seamless knowledge discovery.
02
Agent
Enablement
EXTRACTION
CLASSIFICATION
Equip agents with real-time document processing capabilities using MCP (Multi-Context Processing). Quickly extract, analyze, and deliver insights from complex documents, enabling agents to respond faster, smarter, and more effectively in mission-critical scenarios.
03
Data Entry
WORKFLOWS
Streamline your data entry processes by automating the extraction, classification, and input of information from unstructured documents. Reduce errors, save time, and unlock productivity with an intelligent, end-to-end data integration pipeline.
04
Data Cleaning
DATA ANALYSIS
Simplify data cleaning with automated tagging and labeling of unstructured documents. Organize and enrich data with precision, ensuring it is ready for analysis, storage, and downstream applications.
Accelerate your roadmap
Turn your documents into high quality data
Get Started
Document processing for the next generation.
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