OCR & Document Intelligence
Deis Tech provides document intelligence APIs that turn PDFs, scans, spreadsheets, and office documents into structured, machine-readable outputs quickly, accurately, and at production scale. Teams can run the service as a managed platform, deploy it in controlled environments for sensitive records, and use it as the document layer behind AI agents, RAG systems, and enterprise automation workflows.
Built around the workflow pressure, not a disconnected feature list.
A document-intelligence lane for teams that need OCR, conversion, extraction, segmentation, form handling, and production-grade auditability across PDFs, images, spreadsheets, and office documents.
Enterprises processing high volumes of financial, legal, compliance, claims, and onboarding documents
Product teams that need structured outputs from statements, filings, forms, and research content
Regulated operators that need deployment flexibility, auditability, and citation-backed extraction
The buyer problem this solution is designed to remove.
Most document-heavy operations still depend on brittle OCR tools, manual extraction, ad-hoc review, and disconnected processors for PDFs, forms, spreadsheets, and redlines. That slows implementation, makes audit trails weaker, creates more production rework, and leaves product teams without a dependable way to convert source documents into usable operational data.
The workflow capabilities that need to work together in production.
- Document conversion for PDFs, Word files, spreadsheets, and images into Markdown, HTML, and JSON outputs
- Versioned processing pipelines that chain document steps into reusable production configurations
- Structured extraction of target fields with source citations and bounding-box traceability
- Form filling for PDFs and image-based forms using structured input data
- Document segmentation to split combined files into separate logical records
- Tracked-change and comment extraction from Word-based review workflows
- High-accuracy OCR across 90-plus languages for multilingual document estates
Where this solution fits in live operating environments.
Convert documents to structured formats
Turn PDFs, spreadsheets, Word files, and images into structured Markdown, HTML, or JSON outputs that downstream systems can use immediately.
Extract targeted data from documents
Pull named fields, values, and evidence from source files with citations back to the original location for review and auditability.
Fill forms automatically
Populate PDF and image-based forms from structured inputs without manual data entry across high-volume workflows.
Split combined document packs
Segment bundled PDFs into separate logical documents before review, onboarding, lending, claims, or records-processing steps.
Build reusable document pipelines
Chain OCR, extraction, segmentation, and output handling into versioned workflows that can be promoted into production.
Extract tracked changes and review commentary
Capture Word-document redlines and comments for legal, compliance, and contract-review workflows that need structured comparison data.
What changes when the workflow is deployed properly.
- Give product and operations teams one document layer instead of stitching together conversion, OCR, and extraction tools
- Move from raw files to structured data fast enough for automation, retrieval, and decision workflows
- Keep sensitive document programmes viable through managed, private, or on-prem deployment options
- Improve trust in extracted outputs through citations, traceability, and audit-ready evidence back to the source document
- Support pilot and scale-up motions with commercial models aligned to throughput, accuracy, and operational value
- Give buyers clearer operational visibility through dashboards, reporting, and delivery support rather than a black-box OCR utility
How the solution behaves when it becomes part of the daily workflow.
One document operating layer
Conversion, OCR, extraction, segmentation, and form workflows run as one governed service instead of separate point tools with inconsistent outputs.
Deployment around risk posture
Teams can start with a managed platform and move into private or on-prem environments where document sensitivity, procurement, or residency requirements demand it.
Visible production performance
Operational dashboards, support, and citation-backed outputs make it easier for delivery, risk, and audit teams to trust the document pipeline in production.