Document Infrastructure for the LLM Era

Your AI needs a reliable source of truth, not raw documents.TextIn turns messy, unstructured documents into clean, consistent, AI-ready knowledge — at scale and purpose-built for LLMs, Agents, and RAG systems.
Trusted by more than 1,000 leading companies worldwide
Processed Various Types of Documents
1,000,000,000 +Pages
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From raw documents to structured
AI-ready knowledge, instantly.
A unified Document AI infrastructure powering RAG, Agents, and enterprise AI workflows.
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Raw Documents
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TextIn xParse
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AI-Ready Knowledge
Make Documents Usable for Every AI
AI creates value only when it can read and use enterprise documents.
TextIn turns raw files into reliable knowledge for all AI workflows.
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AI Agents
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RAG
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AI Applications
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Data Extract
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AGENT ERAME
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Build Al agents on durable knowledge objects with OCR, chunking, and governance all built-in.
TextIn provided the missing layer between our raw S3 documents and the LLM. From automatic table restoration to metadata injection, we scaled our Agent system in weeks, not months.
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Scaling Enterprise Intelligence: An RAG Pipeline for Diverse Pharmaceutical Document Types
Finally, We Can Trust the System": Transforming Complex Regulatory, Clinical, and Research Data into Unified AI Knowledge Access.
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Turn any document into LLM-ready input for your Al Applications
Users just upload a file. Your app hands it to xParse, gets back structured content, and uses it to power Q&A, summarization, translation, rewriting, and more.
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Smart Document Extraction Pipeline: Architecting the Shift from Rules to AI-Driven Extraction
We successfully integrate advanced AI Extraction to achieve 90%+ accuracy and eliminate rule maintenance overhead in Financial Operations.
A Unified, Extensible Document Understanding Layer
Plug-and-play. Interchangeable. Future-proof.
One integration supports every parsing engine—today and years ahead.
Multi-Engine Routing & Comparison
Support LLMs, OCR engines, open source parsers. One integration. All engines supported. Fully visualizable performance.
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Best Accuracy
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Proprietary Image Enhancement Pipeline
Cleaner inputs. Better outputs. Turn messy documents into model-ready text.
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Future-Proof Plug-In Architecture
Add or replace engines with zero workflow changes. Your document understanding never falls behind.
Future-Proof Plug-In 
Architecture
Every Business Document,
Accurately Understood by LLMs
From scans and complex tables to system-generated files—everything becomes a unified, LLM-ready output.
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Unified Parsing → Structured Knowledge
OCR, cleaning, parsing, and chunking—fully automated. Stable, consistent knowledge objects every time.
16+ Doc Formats
PDFs, scans, tables, PPTs, emails, screenshots—over 16 enterprise formats supported.
Cloud & Local Data
Connect to OSS, S3, FTP, NAS, and local file systems. Flexible for any enterprise workflow.
Launch Enterprise-Grade
AI Workflows—In Minutes
No scripts. No pipelines to stitch together.
Upload docs today, get production workflows today.
Old Way: Slow, Fragile, Hard to Scale
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New Way: Fast, Unified, Production-Ready
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Few Lines of Code, Go Live in Minutes
Upload → auto-structure → instantly power business workflows.
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Continuously Updated, Always in Sync
TextIn detects changes, parses only what’s new, and keeps your knowledge and workflows fresh—automatically.
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A Trusted Foundation
for Mission-Critical Workloads
TextIn meets bank-grade security standards and delivers the scale, reliability, and deterministic behavior required for enterprise Document AI.
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Security & Compliance
SOC2 Type II / ISO 27001 Automatic PII redaction AES-256 encryption On-prem support
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Deterministic Output
Repeatable, predictable results Eliminates LLM hallucination Safe for high-stakes use
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Massive-Scale Processing
10M+ pages per day Elastic scaling for traffic spikes 99.99% API availability
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End-to-End Traceability
Chunk-level lineage Precise BBox grounding Every transformation auditable and verifiable
Why Developers Choose Us ?
Everything needed to build reliable, accurate AI knowledge systems.
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Fighting documents with “scripts & pipelines”
Thousands of documents. Endless edge cases. Zero visibility.
Shipping with TextIn Infra
Build & ship AI features — without managing pipelines.
RAG Performance Boost
Cleaner chunks, precise boundaries, consistent metadata, means lower hallucination and higher recall.
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99%
Table accuracy
2x
Recall
Ecosystem-Ready
Drop-in for your existing RAG stack. Works with LangChain, LlamaIndex, Milvus, Pinecone, Qdrant, pgvector.
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Developer-First
No tuning, no pipelines. A simple API for instant clean chunks.
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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."
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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."
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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."
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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."
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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."
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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."
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R&D Lead
An AI technology company
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Document Infrastructure for the LLM Era
Make Your LLM Truly Understand Documents
Stop wrestling with PDFs. Start building AI that actually works in production.
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Document processing for the next generation.
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