Intake & Extraction
AI Document Extraction for Construction
Subcontractor quotes, delivery tickets and drawing transmittals read into your project tools, so document control stops living in someone's inbox.
Every project generates paper: subcontractor quotes, delivery tickets photographed on site, drawing transmittals and more. Most of it ends up retyped into a register or left in someone's inbox. This build reads photos and PDFs alike, extracts the fields you choose with a confidence score on each, and files clean data against the right project. Doubtful values go to a reviewer.
- Site photos and PDFs read into your project tools
- Data filed against the right project automatically
- Drawing revisions checked before your register changes
$5,400
20–30 working days
Optional maintenance $270/mo
What it is
AI Document Extraction for Construction reads the paperwork that piles up on every project, such as subcontractor quotes, supplier delivery tickets and drawing transmittals, and extracts the fields you define with a confidence score on each. Clean data goes to your project management tool or register; doubtful values go to a reviewer.
Why businesses buy it
On a construction project, a missing delivery ticket or an outdated drawing revision costs real money: disputed invoices, rework and arguments about what was agreed. Document control often depends on one busy person keeping up with an overflowing inbox. This build reads the paperwork as it arrives and keeps your registers current, sending only the doubtful items to a person. The written scope fixes the document types, fields and connected systems before you order, so you know exactly what you are getting.
Problems this solves
Subcontractor quotes arrive in every format and are hard to compare
The system extracts the fields you define from each quote, such as trade, scope items and validity date. Results land in your project tool or register, so quotes can be compared side by side.
Site delivery tickets are logged late or not at all
Photos or scans of delivery tickets dropped into the upload folder are read for supplier, items, quantities and date. Doubtful values go to a reviewer instead of the register.
Drawing transmittals are logged by hand and revisions get missed
Drawing numbers, revision codes and issue dates are extracted from transmittals with a confidence score. Construction validation rules flag missing revision codes before the register is updated.
A good fit if
Estimators copy prices, scope notes and validity dates from subcontractor quotes into a comparison sheet by hand.
Delivery tickets from site get photographed and emailed in, then typed up days later, if at all.
Your drawing register falls behind because transmittals arrive faster than anyone can log revisions.
Paperwork arrives through one project inbox or shared folder, mostly in up to three document types.
Not the right fit if
The documents are supplier invoices that need line checks and cost coding. See AI Invoice Intelligence for Construction.
You need client proposals and pricing written, not incoming quotes read. See AI Proposal System for Construction.
You need to see exactly what changed between two drawing revisions. See AI Document Comparison.
Site teams want to ask questions of project documents. See AI Company Knowledge Hub for Construction.
How it works
- Project paperwork comes through one door. Quotes, delivery ticket photos or transmittals land in the project inbox or shared folder connected to the build.
- Fields are read from photos and PDFs alike. A delivery ticket snapped on site and a typed subcontractor quote are both read for content, so the same field is found in different layouts.
- You choose what each document gives you. Up to 25 fields per type, such as subcontractor, trade, price, validity date and project reference, or material, quantity and delivery date, or drawing number and revision.
- Rules flag incomplete paperwork. A quote with no validity date, a ticket without a project reference or a revision in the wrong format is held as an exception.
- Clean data lands where your team works. High-confidence values go to your project management tool, drawing register or a shared sheet, linked to the original file.
- A named reviewer handles the rest. Unclear values wait in a queue with the source beside them, and only checked data moves into the register.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- At least 20 real samples of each document type, including the poorer site photos, not just clean PDFs.
- The fields to capture from each type and the rules that mark a document incomplete.
- Access to the project inbox or shared folder where paperwork arrives.
- Access to your project management tool, drawing register or destination sheet.
- The person who reviews exceptions, often a document controller or quantity surveyor.
- Admin access and API keys for both systems, never sent by email.
- One decision-maker to approve the field list and sign off launch.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified, sample quotes, tickets or transmittals confirmed.
Weeks 1–2
Extraction and completeness rules built from the Construction template.
Week 3
Project inbox and destination tool connected, review queue ready.
Weeks 3–4
100 sample documents processed, site photos included, accuracy reported.
Week 4
Your review and two rounds of changes.
Go-live
Live on project paperwork, recorded handoff, support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $5,400 |
| Express | 15–25 working days | $6,200 |
| Rush | 10–20 working days | $7,000 |
What you receive at handover
- AI Document Extraction for Construction configured on one intake route and connected to your project management tool or register
- Construction field sets and validation rules for up to three document types, such as quotes, delivery tickets and transmittals
- A human review queue for doubtful values
- A test report using construction scenarios, from 100 sample documents with an accuracy report
- An admin guide and a recorded 60-minute handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Can make tender comparisons quicker to prepare.
- Helps keep delivery and drawing registers current while the job is running.
- Gives commercial teams cleaner records when valuations or disputes come up.
- Time to log a drawing transmittal
- Time a sample by hand before launch and compare with review time after.
- Delivery tickets recorded within the week
- Compare ticket dates with register entry dates on one live project, before and after launch.
- Time to prepare a quote comparison
- Record how long the last few comparisons took. Compare with the next few after handover.
Before you start: Pick one live project and count quotes, tickets and transmittals received per week. Note how long each takes to log and any items found missing.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
You pay once for the build. Running it costs roughly $30 to $200 a month in your own accounts for OCR and AI usage plus storage, following how many pages pass through. A contractor with several live projects sending daily tickets sits higher than one with occasional quotes.
AI usage during build and testing is billed to your accounts too.
Ask about running costsCustom requirements
A fourth document type, more than 25 fields per type, a separate intake route per project, or matching tickets against purchase orders is outside the Scope Card. Add a note at checkout for a written Change Quote.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes, updates, a health report and change hours each month, enough for a new supplier's ticket layout, a register field or a changed rule. It starts after the 30 days of support.
$270/mo (5% of the build price a month, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A document control platform usually bills per user or per project | A construction tech consultancy quotes after discovery | Ours is one fixed price, shown on this page before you buy |
| Site photos | Often need clean scans | Depends on what was built | Ours reads photographed tickets and scores what it reads |
| Incomplete paperwork | Saved as received | Depends on the brief | Ours holds missing references or dates for a person |
| Delivery | Rollout across projects takes weeks | Usually several weeks | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
Can AI Document Extraction for Construction read photos of delivery tickets from site?
Yes. Photos and scans are both read, and each field gets a confidence score, so a creased or shadowed ticket shows clearly which values need a look. Include your poorer site photos among the 20 samples per type; the accuracy report then reflects real conditions, not just tidy office scans.
Will it help us compare subcontractor quotes?
It extracts the fields you need from each quote, such as subcontractor, trade, price, validity date and key scope notes, into a sheet or tool where your team compares them side by side. The judgment on which quote to accept stays with your estimators; the build removes the retyping.
Can it keep our drawing register up to date?
Yes, if transmittals are one of your document types. Drawing number, title, revision and date are extracted and written to your register or project tool. Revisions that fail your format rule, or arrive without a date, are held for your document controller before the register changes.
Does it work across all our live projects?
Yes, through one intake route, as long as each document carries a project reference the build can read. That reference becomes a field, and data is filed against the right project at the destination. Separate inboxes per project, or separate rules per client, would need a Change Quote.
How long before the construction extraction build is live?
The delivery time for each speed appears in the panel on this page, counted from the day intake is complete and access to your project tools is verified. Samples, including real site photos, and the field list are due within 72 hours of the order, and each day they are late pushes the date back 3 working days.
How much does construction document extraction cost to run?
Roughly $30 to $200 a month in your own accounts for OCR and AI usage plus storage, depending on how many pages flow through across your projects. There is no per-project fee from us. Monthly maintenance is optional and covers new layouts and rule changes.
Keep the paperwork moving as fast as the project.
Order AI Document Extraction for Construction.
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