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.
Five stages turn any document into clean, typed, traceable data, with layout, tables, and reading order preserved end to end.
Drop in PDFs, Office files, images, or scans. Born-digital or photographed, it all flows into one pipeline.
Vision models map columns, tables, headings, and reading order across every page.
Text, numbers, and structure are extracted where they live, never flattened.
Output is rebuilt into clean hierarchy: sections, tables, and key-value pairs.
Typed JSON, Markdown, and embeddings stream straight into your stack.
Not just text on a page. Faithful structure, real types, and a clear trail back to the source.
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.
Merged cells, nested headers, and spanning rows reconstructed into typed rows and columns.
Photographed, skewed, and low-contrast scans handled with high-fidelity recognition.
Bar, line, and pie charts are read back into their underlying series — real data tables plus a description of what the figure shows.
Each field links back to its page, region, and bounding box, so every number can be verified at the source.
Numbers, dates, and currencies parsed into real types, not strings.
Stream thousands of pages in parallel on your own infrastructure.
Clean Markdown and structured JSON from every parse, chunk-ready for retrieval.
PDF, Word, Excel, PowerPoint, and raw images. Each is parsed natively, then normalized into the same clean schema.
Born-digital and scanned PDFs alike, whether single or multi-column, with full page-level analysis.
Word files with their style hierarchy, tracked structure, and embedded objects kept intact.
Workbooks with multiple sheets, merged regions, and formula results resolved to real values.
Slide decks flattened into an ordered, readable narrative with every asset and note extracted.
Photographed and scanned pages deskewed, cleaned, and OCR’d into the same structured output.
One parse, and the same trusted output flows into retrieval, agents, and analytics alike.
Specialized extraction across industries and document types, without rebuilding your pipeline for every new format.
Sign in to run OI Parser on your own files in the demo playground, or create an API key and build it into your stack.
PDF, Word (.docx), Excel (.xlsx), PowerPoint (.pptx), and common image formats such as PNG, JPEG, and TIFF — 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.
Charts are read back into their underlying data: a bar or line chart becomes a real table of series and values, together with a plain-language description of what the figure shows. Figures and images are extracted with their captions.
Every parse returns clean Markdown and structured JSON: page-level content, headers and footers separated out, tables as tables, and metadata like language and page count — ready to chunk for retrieval or feed to agents.
Output is clean, chunk-ready, and typed. JSON and Markdown drop directly into retrieval, agents, and analytics with structure intact.
Create an account and sign in to the console. You can run documents in the demo playground right away, and create an API key for programmatic access — the secret is shown once, right when you create it. No approval step.
Yes. Parsing streams thousands of pages in parallel, and every API key carries its own concurrency and daily-quota limits so throughput stays predictable.