Marquee READ
Every Thursday, you squint at columns that refuse to paste neatly, fighting a silent war against invoices and project reports. Hours disappear; coffee goes cold. The data you need is there—locked behind a thousand CTRL-Cs.
Problem Sound Familiar?
We could hire a troupe of interns with highlighters, but that merely swaps tedium for payroll. Better to be unreasonable in a way accountants admire.
Meet Marquee READ: Make Your PDFs Talk, Even When They are 1,000‑Page Monsters
Marquee READ is the AI‑powered PDF data‑extraction engine built for heavyweight documents that choke every “big‑name” tool you’ve tried, accepting both everyday English and precision regex in the same request.
How Marquee READ Works
Why Existing Platforms Fail Large PDFs
SharePoint Syntex stops at roughly 500 pages. It literally tells you to break the file apart. Azure Document Intelligence advertises up to 2,000 pages, but real‑world API caps (two‑gig memory ceiling, 15 TPS throttle) mean massive files time‑out or queue for hours.
If your contract, spec, or statement of work runs past page 500, you’re already losing time and money.
What Makes Marquee READ Different
| Feature | Marquee READ | Azure Doc AI | SharePoint Syntex |
|---|---|---|---|
| Pages handled natively | 1000 | 2000 (lab) | 500 |
| Upload once, no splitting | Yes | No | No |
| Natural‑language field requests | Yes: “Grab invoice total, due date, vendor name” | No | No |
| Regex‑powered rules (optional) | Yes: /^[A‑Z]{3}\d{5}/ etc. | Limited | No |
| Combine NL + regex in one call | Yes | No | No |
| Conditional data creation | Yes: e.g., flag if ‘certified’ missing | No | No |
| Direct SharePoint integration | Yes | No | Yes |
| Pushes clean JSON/CSV to Power BI, SQL, Power Automate | Yes | Workarounds | Workarounds |
Tell It What You Want—Plain English, Regex, or Both
Example request:
“Extract every table of materials, grab the PO number with
/PO-\d{6}/, and create a ‘certified’ column: 1 if the paragraph above contains ‘certified’, 0 if not.”
Marquee READ parses the prompt, merges natural‑language intent with regex precision, and delivers a perfectly structured file—no code heavy‑lifting or trial‑and‑error retraining.
Use Cases
| Scenario | Natural‑Language Instruction | Regex Refinement |
|---|---|---|
| Compliance flags | “List sections missing the word ‘certified’.” | /\bcertified\b/i |
| SKU extraction | “Pull all item numbers.” | /^[A‑Z]{3}\d{5}/ |
| Dynamic metrics | “Sum only rows marked ‘Approved’.” | /Approved/i |
Feel Good and Operate Better
AI extraction routinely trims 30-40 % off manual effort, according to PwC research, and case studies hit 80 % reduction in real projects. Invoice teams see errors plunge while cycle times shrink.
“MarqueeREAD freed one analyst in a week. ROI arguments ended there.”
— Hannah R., PMO Director
Demo video
So dull its poetic—just a PDF in, JSON out. Boredom is the feature; excitement is the time you reclaim.