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Turn documents into structured data

Documents in.
Structure out.

OI Parser turns any document, from contracts and filings to lab reports and scanned forms, into clean, structured data your RAG pipelines, agents, and analytics can actually trust.

The engine

Ingest anything

PDFs, scans, spreadsheets and slides. All welcome
OI PARSER
How it works

From raw file to ready-to-use structure

Five stages turn any document into clean, typed, traceable data, with layout, tables, and reading order preserved end to end.

Ingest anything

Drop in PDFs, Office files, images, or scans. Born-digital or photographed, it all flows into one pipeline.

Detect layout

Vision models map columns, tables, headings, and reading order across every page.

Parse in place

Text, numbers, and structure are extracted where they live, never flattened.

Reconstruct

Output is rebuilt into clean hierarchy: sections, tables, and key-value pairs.

Ready to use

Typed JSON, Markdown, and embeddings stream straight into your stack.

Capabilities

Everything you need to trust the output

Not just text on a page. Faithful structure, real types, and a clear trail back to the source.

Layout-faithful by design

Multi-column flows, headers, footnotes, and sidebars are preserved in true reading order, never collapsed into a wall of text. What the page means survives the parse.

Tables, exactly as drawn

Merged cells, nested headers, and spanning rows reconstructed into typed rows and columns.

OCR for the messy real world

Photographed, skewed, and low-contrast scans handled with high-fidelity recognition.

Provenance on every value

Each field links back to its page, region, and bounding box.

Typed & validated

Numbers, dates, and currencies parsed into real types, not strings.

Built to scale

Stream thousands of pages in parallel on your own infrastructure.

Format intelligence

Every format speaks one structured language

PDF, Word, Excel, PowerPoint. Each is parsed natively, then normalized into the same clean schema.

PDF documents.pdf

Born-digital and scanned PDFs alike, whether single or multi-column, with full page-level analysis.

  • Multi-column flow
  • Embedded tables
  • Figures & captions
  • Headers & footnotes
  • Form fields
  • Scanned OCR
Word documents.docx

Word files with their style hierarchy, tracked structure, and embedded objects kept intact.

  • Heading hierarchy
  • Styled lists
  • Inline tables
  • Foot / endnotes
  • Embedded images
  • Headers & footers
Excel spreadsheets.xlsx

Workbooks with multiple sheets, merged regions, and formula results resolved to real values.

  • Multi-sheet books
  • Merged cells
  • Typed numbers
  • Formula results
  • Named ranges
  • Date detection
PowerPoint decks.pptx

Slide decks flattened into an ordered, readable narrative with every asset and note extracted.

  • Slide reading order
  • Title hierarchy
  • Speaker notes
  • Tables & charts
  • Embedded media
  • SmartArt text
fy24-annual-report.pdf● parsed
What you build

Structure that feeds your whole stack

One parse, and the same trusted output flows into retrieval, agents, and analytics alike.

Use cases

One platform, endless applications

Specialized extraction across industries and document types, without rebuilding your pipeline for every new format.

Turn your documents into
structured intelligence

See OI Parser run on your own files, in your own environment. Book a walkthrough with our team.

FAQ

Questions, answered

PDF, Word, Excel, PowerPoint, and common image formats, both born-digital and scanned. New formats and variants are added continuously.

Layout-aware models preserve tables, columns, and reading order with high fidelity, and every value carries provenance back to its source region for verification.

Yes. Built-in OCR handles skewed, low-contrast, and photographed pages, not just clean digital files.

Output is clean, chunk-ready, and typed. JSON, Markdown, and embeddings drop directly into retrieval, agents, and analytics with structure intact.