Now in Beta — Free to Use

Document parsing that
actually works
on real documents.

Scanned pages, complex tables, embedded charts, mathematical formulas — the documents that break other tools. IntraParse handles them all, delivering structured results in seconds.

Try It Free See the API

The difference

Most document parsers fail
when documents get real.

Enterprise documents aren't clean. They're scanned copies, dense technical reports, financial filings with nested tables. Existing tools either choke on complexity or skip pages entirely.

Test: 69-page scanned NASA technical document

LlamaParse Agentic+ Timed out

Time15+ min

Pages8 of 69

ResultPartial

IntraParse Complete

Time59 sec

Pages69 of 69

Accuracy95%+

This isn't a marginal improvement. It's a different class of processing.

Capabilities

Every element. Nothing skipped.

Real output from a 116-page scanned NASA technical document. Tables, figures, formulas, text — each extracted and structured.

NASA SP-8052 · Scanned copy from 1971 · 116 pages · 91.5s

13-column table with Greek symbols, footnotes, and merged headers

page 16

Source Document

Extracted Output

Table I — Basic Inducer Types: Design and Performance Summary

Engine	Pump	Fig.	Fluid	Head	Profile	φᵈ	ψᵈ	β	Sₛ	Hub-tip	Blades	Sweep
Thor	Mark 3	(a)	LO₂	Low	Cylindrical tip & hub	0.116	0.075	14.15°	28,500	0.31	4	Radial
J-2	Mark 15	(b)	LO₂	Low	Cyl. tip, tapered hub	0.109	0.11	9.75°	34,300	0.20	3	Sweptback
X-8	Mark 19	(c)	LO₂	Low	Tapered tip & hub	0.106	0.10	9.8°	31,200	0.23	3	Sweptback
X-8	Mark 19	(d)	LO₂	Low	Shrouded	0.05	0.063	5.0°	58,000	0.19	2	Sweptfwd
J-2	Mark 15	(e)	LH₂	High	Cyl. tip, tapered hub	0.0942	0.21	7.9°	43,200	0.42	4+4	Sweptback
J-2	Mark 15	(f)	LH₂	High	Tapered tip & hub	0.0735	0.20	7.35°	44,200	0.38	4+4	Sweptback

6 rows \u00b7 13 columns \u00b7 Greek symbols preserved \u00b7 Footnotes: (1) Based on inlet tip blade speed. (2) At 10% head dropoff.

Performance

Seconds, not minutes. Every page, not some.

69 pages

in 59 seconds

Scanned NASA document

180+

pages per minute

Sustained throughput

10,000+

documents tested

Production-ready

GPU-accelerated on NVIDIA H100 infrastructure. Your document starts processing immediately — no queue, no wait.

How it works

Upload. Process. Done.

Upload your document

Drag and drop a PDF through the web interface, or send it via the API. Scanned or digital. Up to 50 MB.

GPU pipeline processes every page

Every page is analyzed visually, not just OCR'd. Tables stay structurally accurate. Figures get detailed descriptions. Formulas become clean LaTeX. Nothing skipped.

Get structured results

Clean JSON with every element in reading order. View in the browser with side-by-side PDF comparison, download it, or consume via API.

For developers

One endpoint. Structured data back.

Get your API key from the dashboard. Send a PDF. Receive structured JSON. That's the entire integration.

Request

curl -X POST https://intraparse-api.intraplex.ai/api/v1/parse \
  -H "Authorization: Bearer ip_live_..." \
  -F "file=@quarterly-report.pdf"

Response

{
  "document_id": "d7f2a1b3-...",
  "filename": "quarterly-report.pdf",
  "page_count": 24,
  "chunk_count": 87,
  "chunks": [
    {
      "type": "text",
      "text": "Executive Summary...",
      "page_no": 1
    },
    {
      "type": "table",
      "text": "| Metric | Q3 | Q4 |...",
      "page_no": 5
    }
  ]
}

Async endpoint for large docsFull document historyAPI key management

See it on your own documents.

IntraParse is in beta and free to use. 50 pages per day. No credit card. Upload a document and see the difference in seconds.

Start Parsing

Document parsing thatactually workson real documents.

Most document parsers fail when documents get real.