
Select Your Data Source
Upload files from your device or connect to sources like SharePoint, Amazon S3, or Google Drive. Preview and choose which files to process.
From Unstructured Chaos to AI-Trusted Clarity.
According to our Data & AI Monitor, only 28% of professionals trust AI outputs as much as human judgment. Why? Because most AI still depends on messy, unstructured, and unreliable data inputs—from PDFs and images to emails and videos. This chaos erodes confidence in outcomes and slows digital progress.
Xebia AI Document Parser changes that by unlocking trustworthy, structured data to fuel reliable GenAI, automation, and decision-making.
Xebia AI Document Parser is an intelligent document processing solution built to convert unstructured data—across formats and modalities—into structured, machine-readable content. It automates extraction, enrichment, and transformation for documents, media, and more, creating reliable foundations for AI workflows and digital transformation.
No manual cleanup. No brittle pipelines. Just clean, actionable data—ready for AI.
Supports PDF, Word, Excel, PowerPoint, HTML, Email, Markdown, Audio, Video, Images, and more.
Processes and normalizes text, tables, images, and rich media content.
Integrates effortlessly with SharePoint, Azure Blob, Amazon S3, Opensearch, and Azure AI Search.
Handles 60,000+ documents or 200+ GB of data with parallel processing and intelligent batching
Enables seamless search and discovery across global teams.
Scalable, resilient, and fault-tolerant—built for high availability and peak performance.
Deliver consistent, structured inputs that improve GenAI reliability and RAG-based retrieval.
Cut document processing time from hours to seconds—fueling real-time decisions.
Reduce manual intervention and custom coding by up to 80%.
Free teams to focus on outcomes—not data wrangling or pipeline maintenance.
Security, compliance, and scale—tailored for enterprise-grade transformation.
Digital transformation hinges on trust—and trust demands data you can rely on. Xebia AI Document Parser empowers enterprises to fully harness the value of AI by eliminating the friction in document and media processing.
With seamless integrations, high-fidelity extraction, and architecture optimized for enterprise workloads, it brings structure to the chaos—enabling confident AI-driven decisions, automation, and insights.
Whether you're building RAG pipelines, enabling enterprise search, or automating compliance workflows, this solution helps you unlock clean data at scale—the cornerstone of trusted AI adoption.
At the core of Xebia AI Document Parser is a modular, event-driven architecture built for high throughput and enterprise-scale reliability. The system ingests documents and media from various cloud storage sources, such as Amazon S3, SharePoint, and Azure Blob, across formats including PDF, DOCX, HTML, MP3, MP4, and images.
Once ingested, the parser initiates intelligent processing through a secure eventing layer, followed by AI-powered enrichment using OCR, vision models, and LLM-based context enhancement. The enriched, structured output is then routed to your preferred destinations—ranging from vector databases like OpenSearch and Azure AI Search to cloud storage sinks like S3 or Azure Blob.
This flexible, plug-and-play setup allows teams to build GenAI, search, and analytics pipelines without reinventing the wheel—delivering clean, enriched data at scale.
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