Document & Multimodal Integration

Turn Unstructured Data Into Agent-Ready Pipelines

Nexla ingests documents, PDFs, emails, images, audio, and video – any unstructured or multimodal source and transforms them into governed Nexsets your AI agents and data pipelines can use immediately. No custom scripting required.

The Problem

Your Most Valuable Data Is Stuck In Documents

Most enterprise data is not in a database. It lives in SharePoint folders, email inboxes, scanned PDFs, supplier documents, recorded calls, and video archives. This data holds real business value, contracts, customer communications, compliance records, product knowledge, but it has always been too expensive to pipe into data systems reliably.

The Solution

Nexla’s Document & Multimodal Integration changes that.

It connects to any unstructured source, applies AI-powered extraction and chunking, and delivers structured Nexsets that any downstream pipeline or AI agent can consume.

Nexla's Document & Multimodal Integration
Ingest Any Format

What Nexla Ingests

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Documents and PDFs
Ingest any file format including PDFs, Word documents, Excel files, CSV, and scanned image-based documents. Nexla applies OCR to image-based documents automatically and uses metadata intelligence to derive structure and create Nexsets.
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Email and Attachments
Connect to email inboxes and extract structured data from message bodies and attachments. Insurance documents, invoices, intake forms, Excel attachments — all become data pipelines. Includes full access to Nexla's error management, validation, audit logs, and lineage.
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Images and Multimodal Files
Process image files containing embedded data: photos of forms, screenshots, annotated diagrams, and visual reports. Nexla applies vision-based extraction and routes results to downstream pipelines or vector stores.
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Audio and Video
Ingest audio recordings (team calls, meetings, customer interviews) and video assets (tutorials, demos, product walkthroughs). Nexla prepares transcripts and extracted content for indexing in the Context Layer or routing to any destination.
Nexla and Active Metadata
HTML and Web Content
Extract structured data from HTML pages, web-based reports, and scraped content. Nexla strips formatting noise and identifies relevant fields automatically.
How It Works

Document & Multimodal Integration is Built into Nexla's Full Data-for-agents Pipeline:

Unstructured Source > Connectors (600+ including Unstructured) > Nexsets > Agent or DWH

Unstructured Source

Connect to any document source: S3, SharePoint, email inbox, SFTP, Google Drive, Dropbox, or any of 600+ supported connectors

Connectors
(600+ including Unstructured)

Nexla ingests files automatically as they arrive, applies AI-powered extraction and chunking

Data Products (Nexsets)

Output is written to a governed Nexset, a schema-defined, versioned, with access control built in

Agent or DWH

The Nexset is immediately usable: route to a database, warehouse, vector store, or expose as an MCP tool for AI agents

AI-Ready Output

Output Built for AI Agents and LLM Pipelines

Agentic Chunking
Nexla's agentic chunking prepares unstructured content for vector databases and LLM context windows. Choose from multiple chunking strategies, including Nexla's own AI-powered chunking, to optimize for your retrieval use case.
Vector Database Loading
Load any vector database of choice directly from document pipelines, continuously updated at any scale.
Context Layer Integration
Document content feeds directly into Nexla's Context Layer (Helix). Internal docs, wikis, audio transcripts, and video content become part of the enterprise knowledge graph that grounds every AI agent interaction.
MCP-Ready
very document extraction pipeline produces a Nexset. Nexsets are immediately exposable as governed MCP tools through the Nexla MCP Gateway. AI agents can query extracted document data with the same governed access controls as any structured source.
Use Cases

Where Teams Put Unstructured Data Integration to Work

Financial Services

Insurance claims, loan applications, regulatory filings, KYC documents. Extract structured fields from PDFs and scanned forms and route directly to compliance systems.

Healthcare

Clinical notes, patient intake forms, insurance claims. Field-level masking ensures PHI is governed at every step.

Legal

Contracts, filings, correspondence. Build searchable structured databases from document archives without manual review.

Supply Chain

Shipping manifests, invoices, purchase orders, customs docs. Connect extracted data to ERP and logistics platforms in real time.

Internal Knowledge

Team call recordings, wiki docs, onboarding materials. Feed into the Context Layer so AI agents carry institutional knowledge.

Every Document Is a Data Source. Connect Them All.