Intake & Extraction
AI Document Extraction for Recruitment
Extracts structured data from documents into your systems, adapted for Recruitment businesses that key candidate CVs and compliance documents into their ATS…
Intake & Extraction
AI PDF Intelligence
Complex PDFs, tables and scanned pages included, become searchable, structured content you can query and extract from.
Important information often sits locked in PDFs: scanned forms, reports full of tables, contracts set in two columns. Copying it out by hand is slow and error-prone. AI PDF Intelligence reads those files, scans included, and turns them into structured fields and searchable text. You can also ask a plain question about a PDF and get an answer drawn only from that file.
- Scanned pages, tables and multi-column layouts read accurately
- Plain-language answers drawn only from the PDF you ask about
- Uncertain pages held for review instead of guessed
$3,900
20–30 working days
Optional maintenance $249/mo
What it is
AI PDF Intelligence reads complex PDF files, including scanned pages, multi-column layouts and embedded tables, and turns them into searchable, structured content you can extract fields from or ask questions about. Unclear pages and low-confidence fields go to a review queue, and clean results flow into the system you choose.
Why businesses buy it
PDFs are where a lot of business data goes to hide. Tables do not copy cleanly, scans cannot be searched, and staff end up retyping figures or skimming fifty pages for one clause. That costs time and invites mistakes. After this build, your PDFs become structured content you can search, extract from and question, with doubtful results sent to a person instead of passed along. The Scope Card fixes the PDF types, the field list and the connected systems in writing before you order, so you know exactly what you get.
Problems this solves
Scanned PDFs cannot be searched or copied from
PDF Intelligence reads scanned pages and turns them into searchable, structured content. Your team can find a phrase or pull a field instead of reading every page.
Tables inside PDFs are retyped into spreadsheets by hand
Embedded tables and multi-column layouts are read in order and extracted as structured data. Up to three document types are set up, with up to twenty-five fields each.
Answers are buried somewhere inside long PDF files
Once processed, documents can be queried with plain questions. Clean results flow into the system you choose, so the answer is not lost in another inbox.
Poor scans produce wrong numbers that nobody spots
Unclear pages and low-confidence fields go to a review queue rather than straight through. Validation rules add a second check on values before they are written.
A good fit if
Your source material is specifically PDF files, such as manuals, reports or scanned forms, not a mix of document formats.
Some of those PDFs have layouts that trip up basic text extraction, such as multi-column pages, embedded tables or scanned images.
You want to both pull structured fields out of a PDF and ask it questions in plain language, from the same build.
You're comfortable with a human reviewing anything the extraction isn't confident about, rather than everything posting automatically.
Not the right fit if
Your source documents are a mix of formats, not specifically PDFs. See AI Document Extraction, the general-purpose build that works across document types.
You need PDFs captured from an inbox or folder first, before anything reads them. See AI Document Intake, the stage before this one.
You want a searchable library across many PDFs and other documents, not one PDF answered at a time. See AI Document Search, built for a whole archive.
Your PDFs are specifically contracts and you need key terms and risk clauses flagged. See AI Contract Intelligence, built for that document type.
How it works
- A PDF arrives through the intake route you connected, whether it's a native text PDF, a scanned image, or a mix of both.
- PDF Intelligence parses the layout properly, separating columns, tables and body text instead of reading the page as one unstructured block.
- Structured fields you defined are extracted from the parsed content, each with a confidence score showing how certain the result is.
- You or your team can also ask a question about a specific PDF in plain language and get an answer drawn from that document's own content.
- Anything the model isn't confident about, such as a badly scanned page or an ambiguous table cell, is held in a review queue for the person you named.
- We test it against 100 real sample PDFs before launch and hand you an accuracy report covering both extraction and question answering.
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.
- Your business information (company basics, hours and brand voice), shared during intake, or confirmation we can reuse what you gave us on an earlier order.
- At least 20 real sample PDFs for each document type PDF Intelligence should read, redacted if you need to, including any scanned examples.
- The exact list of fields to extract, plus the kinds of questions you expect to ask about these PDFs.
- Access to the destination system extracted data and answers should reach.
- The name of the person who reviews low-confidence extractions and unclear scans.
- Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
- One decision-maker who can approve the field list and sign off at 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 PDFs and field list confirmed.
Weeks 1–2
PDF parsing, extraction and question-answering built for your document types.
Week 3
Source and destination systems connected and review queue configured.
Weeks 3–4
100 sample PDFs processed, accuracy report shared with you.
Week 4
Your review and two rounds of changes.
Go-live
Live, recorded handoff session, support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $3,900 |
| Express | 15–25 working days | $4,600 |
| Rush | 10–20 working days | $5,250 |
What you receive at handover
- AI PDF Intelligence configured on one intake route and connected to your chosen destination system
- Extraction set-up for up to three PDF document types, up to 25 fields each, including tables
- Validation rules and a human review queue for unclear pages and low-confidence fields
- A test report 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 turn locked PDF archives into data your team can search and use.
- Helps end manual retyping of PDF tables.
- Makes it easier to trust figures because doubtful ones are checked.
- Time to extract data from a PDF
- Time a sample of PDFs processed by hand before launch. Compare with review time after.
- Pages sent to review
- Count review-queue pages each week and track the trend as rules settle.
- Extraction accuracy
- Start from the accuracy report on 100 test documents. Spot-check a monthly sample after.
Before you start: Count the PDFs your team handles each week and time a few typical ones. Note which tables or fields are retyped most often.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is one-time. Running PDF Intelligence costs roughly $30 to $200 a month in your own accounts, covering OCR and AI usage plus storage, and it moves with how many PDF pages pass through it each month.
AI usage during the build and testing is billed to your own accounts too, so every provider relationship stays yours, not ours.
Ask about running costsCustom requirements
If you need more than three PDF document types, more than 25 fields per type, or a second intake route than the Scope Card lists, add a note at checkout. You get a written Change Quote, and that work only starts once you accept it. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
Optional monthly maintenance covers monitoring, fixes, model and platform updates, a monthly health report and monthly change hours, enough to add a field or retune a tricky PDF layout. It starts after the 30 days of support end, bills monthly, and can be cancelled any month.
$249/mo (the minimum fee, 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 PDF-parsing SaaS charges per page or per document processed | A custom agency quotes after discovery calls | Ours is one fixed price, shown on this page before you buy |
| Scope | A PDF-parsing SaaS is a general tool you template for each layout yourself | An agency agrees scope during the project | Ours is written on the Scope Card before purchase |
| Complex layouts | A PDF-parsing SaaS often struggles with tables and multi-column pages out of the box | An agency build depends on what was scoped | Ours is tested on your real PDFs, tables and scans included |
| Delivery | A PDF-parsing SaaS is live once you finish templating each layout | An agency usually takes several weeks | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
How much does AI PDF Intelligence cost?
You can see the fixed price for each delivery speed in the price and delivery panel on this page before you order. It covers everything on the Scope Card: parsing tuned to up to three PDF types, a field list of up to 25 fields each, the connection to your two systems and the accuracy report before launch. Anything beyond that is quoted in writing first.
How is AI PDF Intelligence different from AI Document Extraction?
AI Document Extraction is the general-purpose build that works across any document type or format. PDF Intelligence is built specifically for PDF files, with parsing tuned for multi-column layouts, embedded tables and scanned pages, plus the ability to ask questions about a PDF's content directly, not just pull fields out of it.
Can AI PDF Intelligence handle scanned PDFs, not just native text ones?
Yes. Scanned pages are parsed with OCR before extraction or question answering runs, so a photocopied form works the same way as a native digital PDF. Include a mix of scanned and native examples in your sample set so the accuracy report reflects both during pre-launch testing, since scan quality varies more than layout does.
Can I ask AI PDF Intelligence a question, not just extract fields?
Yes. Alongside structured field extraction, you can ask a plain-language question about a specific PDF, such as what notice period a policy sets or which line items a statement lists, and get an answer drawn only from that document. If the answer is not in the file, it says so rather than guessing.
How much does AI PDF Intelligence cost to run each month?
You pay running costs in your own accounts, not to us. Expect roughly $30 to $200 a month for OCR and AI usage plus storage, and the figure scales with how many PDF pages pass through it. Long scanned reports cost more to process than short native PDFs. Monthly maintenance is optional if you want parsing kept current as layouts change.
Is our PDF content safe with AI PDF Intelligence?
Yes. Every credential and connected account is shared by adding our team as a user or creating a key you control during setup, never by email, and PDFs move only between the systems you connected. Sensitive fields can be excluded from the field list, and sample PDFs can be redacted before we ever see them ourselves, with nothing used to train a shared model.
How long does AI PDF Intelligence take to launch?
Each delivery speed and its timing are shown in the price and delivery panel on this page, counted from the day your intake is complete and access is verified. Most of the build goes into tuning parsing for your specific PDF layouts and then testing it on your own samples, so the accuracy report reflects real files.
What happens when AI PDF Intelligence can't parse a PDF cleanly?
It's held in a review queue instead of returning an unreliable extraction or a guessed answer. Badly scanned pages, corrupted files or unusually dense tables are the most common causes, and the person you named checks them so the document still gets handled correctly rather than silently failing.
Stop wrestling with PDFs that won't extract cleanly.
Order AI PDF Intelligence and it turns your complex PDFs into structured, queryable content on a fixed delivery date. The scope above is what you get, in writing, before you pay.
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